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e-learning - A Review of Literature
Prepared by
Tim L. Wentling
Consuelo Waight
James Gallaher
Jason La Fleur
Christine Wang
Alaina Kanfer
Knowledge and Learning Systems Group
UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN
September 2000
Funded by
Allstate Insurance Company
Sears, Roebuck and Company
Eastman Kodak Company
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UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN
Table of Contents
Topic Page
I Defining e-Learning 3
II Strategic importance of e-Learning 6
III Organizational Culture and e-Learning 8
IV Trainers in an e-Learning environment 10
V Understanding distributed learners 13
VI Evaluation of e-Learning 19
VII Cost effectiveness of e-Learning 30
VIII Selected e-Learning comparison studies 34
IX Global issues in e-Learning 41
X e-Learning industry trends and delivery technologies 48
XI. References 60
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A Review of Definitions
Economic, social and technological forces continue to change the global
economy, and the way of life in organizations and the world. In specific, these forces
have and continue to revolutionize teaching and learning in organizations. Urdan &
Weggen (2000) related that technology, the rapid obsolescence of knowledge and
training, the need for just-in-time training delivery, and the search for cost-effective ways
to meet learning needs of a globally distributed workforce have redefined the processes
that underlie design, development and delivery of training and education in the
workplace. In addition, Urdan &Weggen related that the need for different learning
models due to skills gap and demographic changes and demand for flexible access of life-
long learning have played upon teaching and learning. In this teaching and learning
evolution, however, several terms have been attached to characterize the innovation and
creation that has been occurring. Some terms are: e-learning, distributed learning, online
learning, web-based learning and distance learning. The purpose of this section is
twofold. First, to review and summarize definitions related to e-learning. Second, to
solidify a working term and definition for the NCSA efforts.
Zahm (2000) described computer-based training (CBT) as usually delivered via
CD-ROM or as a Web download and that it is usually multimedia-based training. Karon
(2000) discussed the convenience factor of well-designed computer-based training by
saying that any well-designed computer-based training- whether it’s networked based or
delivered via the Internet – is more convenient than traditional instructor-led training or
seminars. Karon went on to say that self-paced CBT courses are available when learners
are ready to take them, not just when the seminar is scheduled or the instructor is
available. Hall (1997) incorporated both Zahm (2000) and Karon (2000) definitions by
underlining computer-based training as an all-encompassing term used to describe any
computer-delivered training including CD-ROM and World Wide Web. Hall further
explained that some people use the term CBT to refer only to old-time, text-only training.
Like CBT, online training was classified as an all encompassing term that refers
to all training done with a computer over a network, including a company’s intranet, the
company’s local area network, and the internet (Gotschall, 2000). Gotschall
supplemented that online training is also known as net-based training. Urdan & Weggen
(2000), related that online learning constitutes just one part of e-learning and describes
learning via internet, intranet and extranet. They added that levels of sophistication of
online learning vary. It can extend from a basic online learning program that includes
text and graphics of the course, exercises, testing, and record keeping, such as test scores
and bookmarks to a sophisticated online learning program. Sophistication would include
animations, simulations, audio and video sequences peer and expert discussion groups,
online mentoring, links to materials on corporate intranet or the web, and
communications with corporate education records. Schreiber & Berge (1998) agreed
with Gotschall (2000) and purported that online learning is any technology-based
learning, that is, information currently available for direct access. They added that this
usually implies linkage to a computer.
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Given the broad definition of online training, it would seem safe to assume that
web-based training is online training. Hall (1997) defined web-based training as
instruction that is delivered over the Internet or over a company’s intranet. Accessibility
of this training, related Hall, is through the use of a web-browser such as Netscape
Navigator. Hall and Snider (2000) define e-learning as the process of learning via
computers over the Internet and intranets. Hall and Snider extended that e-learning is
also referred to as web-based training, online training, distributed learning or technology
for learning. Distance learning, however, was not included in the e-learning definition
and was defined as its own entity as a learning process meeting three criteria: a
geographical distance separates communication between the trainer and participant; the
communication is two way and interactive; and some form technology is used to facilitate
the learning process.
Hall (2000) contends that e-learning will take the form of complete courses,
access to content for “just-in-time” learning, access to components, a la carte courses and
services, and the separation of “courses” to acquire and test knowledge vs. content as an
immediate, applicable resource to resolve an immediate, perhaps, one time only problem.
Learning is and will continue to be a lifelong process, that could be accessed anywhere at
anytime to meet a specific need or want. Hall added that more links to real-time data and
research would become readily available. Given the progression of the definitions, then,
web-based training, online learning, e-learning, distributed learning, internet-based
learning and net-based learning all speak of each other (Hall & Snider, 2000; Urdan &
Weggen, 2000).
Similar also to e-learning and its related terms is technology-based learning
(Urdan & Weggen 2000). Urdan & Weggen shared that e-learning covers a wide set of
applications and processes, including computer-based learning, web-based learning,
virtual classrooms, and digital collaborations. For the purpose of their report, they further
customized their definition to the delivery of content via all electronic media, including
the Internet, intranets, extranets, satellite broadcast, audio/video tape, interactive TV, and
CD-ROM. They warned, however, that e-learning is defined more narrowly than
distance learning, which would include text-based learning and courses conducted via
written correspondence. Like Hall & Snider 2000), Urdan & Weggen (2000) have set
apart distance learning and e-learning in their glossaries, making, however, e-learning
inclusive and synonymous to all computer-related applications, tools and processes that
have been strategically aligned to value-added learning and teaching processes.
Berge (1998) explained the difference between distance education and distance
learning. Distance education was seen as the formal process of distance learning, with
information being broad in scope, for example, college courses. While, distance learning
was seen as the acquisition of knowledge and skills through mediated information and
instruction, encompassing all technologies and other forms of learning at a distance. This
may be why most educational institutions used the term distance education. In reviewing
five institutional definitions of distance education, these were the main tenets:
historically, it meant correspondence education, it is planned teaching and learning,
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connects learners at a distance, designed to encourage learner interaction, uses audio,
video and computer technologies as delivery modes, delivery modes evolve as
technology expands and grows.
Gotschall (2000) described distance learning as a broadcast of lectures to distant
locations, usually through video presentations. Hall & Snider (2000), as mentioned
above, characterized distance learning with three criteria; they are: a geographical
distance separates communication between the trainer and the participant; the
communication is two way and interactive, and some form of technology is used to
facilitate the learning process. Willis (1994) in his definition of distance learning
identified the acquisition of knowledge and skills as another criterion and supported the
former three criteria by saying that distance learning occurred through mediated
information and instruction, and encompassed all technologies and other forms of
learning at a distance. Porter (1997) shared that distance learning was education or
training offered to learners who are in a different location than the source or provider of
instruction. Porter went on to say that the technologies used in distance learning, the
structure of a course or program, and the degree of supervision for a distance learning
course can be varied to meet a particular’s group’s needs or interests.
Reverting to Halls (2000) contention of e-learning in all-inclusive form, distance
learning as planned interactive courses, as the acquisition of knowledge and skills at a
distance through various technological mediums would seem to be one of e-learning
possible disguises. Interestingly, Urdan & Weggen (2000) saw e-learning as a subset of
distance learning, online learning a subset of e-learning and computer-based learning as a
subset of online learning. Given the review of definitions on all these terms ‘subset’ does
not appear to be the most likely word to describe the relationship among these words and
their forms. The definitions show a great depth of interdependence among themselves.
While one person may narrowly define a term, another person could give it the all
encompassing power. This communicates that e-learning, if given the all encompassing
form, can be the larger circle of which all other terms would be overlapping at different
times and extents given their user’s intention. Another rationale for this choice is that
“just-in-time” learning is a major advantage of e-learning but not of distance learning.
Distance learning purports planned courses, or planned experiences. E-learning does not
only value planned learning but also recognizes the value of the unplanned and the self-
directedness of the learner to maximize incidental learning to improve performance.
The NCSA e-Learning group definition:
• e-learning is the acquisition and use of knowledge distributed and facilitated
primarily by electronic means. This form of learning currently depends on
networks and computers but will likely evolve into systems consisting of a
variety of channels (e.g., wireless, satellite), and technologies (e.g., cellular
phones, PDA’s) as they are developed and adopted. e-learning can take
the form of courses as well as modules and smaller learning objects. e-
learning may incorporate synchronous or asynchronous access and may be
distributed geographically with varied limits of time.
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Strategic Importance of e-Learning
The present and projected needs of business organizations amidst today’s global
trends, communicate the viability and strategic value of e-learning. This section
addresses the strategic importance of e-learning by first looking at the trends driving e-
learning. Second, it looks at the business forces that surface given the trends. Third, it
looks at the e-learning benefits.
The concept of the learning organization (Marsick & Watkins, 1993) has grown
exponentially with the technological era. Mcrea, Gay & Bacon (2000) related that today,
corporate learning and the corporate learning organization have ascended to a position of
strategic prominence in the context of managing and growing the enterprise. Urdan &
Weggen (2000) identified the knowledge-based economy, the paradigm shift in the way
education is viewed and delivered, and huge knowledge gaps as significant trends that
have given rise to e-learning. In addition they mention that the second largest sector of
the U.S economy is the $772 billion education industry. The increase in complexity and
velocity of the work environment brought about by technological changes are also major
issues that have fueled the demand for e-learning. Mcrea, Gay & Bacon (2000) presented
the shift from the industrial to the knowledge era, rapid technological change, the ever
shortening product developmental cycles, lack of skilled personnel, enterprise resource
planning, and migration towards a value chain integration and the extended enterprise as
being prominent contributors to the e-learning value chain. Mcrea, Gay and Bacon
(2000) also recognized the robust economy and the increasingly competitive global
business environment as central to the e-learning movement. Ticoll, Lowy & Kalakota
(1998) related that the competitive environment requires companies to work together to
create online networks of customers, suppliers, and value-added processes – that is, an e-
business community (EBC).
The trends discussed above have given birth to several business issues that need
to be quickly addressed if companies are to retain their competitive edge. Ticoll, Lowy &
Kalakota (1998) mentioned that an e-business strategist must anchor on the following
forces when analyzing an e-business community. First, the redefinition of value must be
addressed because wealth creation, communication, commerce and distribution converge
on common digital, networked platforms. Industry boundaries blur, causing providers to
rethink the basis of value creation. Second, digital knowledge economics must be
understood well because hoarding knowledge is typically counterproductive and nearly
impossible. In the digital economy knowledge must be shared. Third, information
technology is driving change everywhere. Thus, every executive, in every industry, must
embrace the pace and dynamics of the information technology industry. Fourth, jobs,
business processes, companies, and even entire industries face elimination or digital
transformation. This means that customers will be gaining both tangible (quality and
cost) and intangible benefits (information, control, relationships) while they contribute
ever more value to the system. Lastly, the digital implosion drives disaggregation and
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specialization, undermining the economic rationality of the vertically or horizontally
integrated firm.
Digital knowledge reduces the time and financial costs of information and
coordination. Ticoll, Lowy & Kalakota (1998) added that it is now economically feasible
for large and diverse sets of people to have the information they need to make safe
decisions in near real time. Thus, companies can increase wealth by adding knowledge
value to a product through innovation, enhancement, cost reduction, or customization at
each step in its life cycle.
The e-business forces discussed above set the stage for e-learning’s strategic
importance. As companies digitally transform their businesses, knowledge and training
become rapidly obsolete, just-in-time training becomes a basic survival need, and
identification of cost-effective ways of reaching a diverse global workforce becomes
critical (Urgan & Weggen, 2000). Additionally, new learning models are needed given
the skills gap and demographic changes. Flexible access to lifelong learning is highly
desired. Mcrea, Gay and Bacon (2000) added that managing organizational competency,
providing employees with competency roadmaps, distributing latent knowledge within
the organization, aligning business objectives and learning outcomes, and extending
learning to value chain partners are bottom line e-business issues. Validating outcomes
directly with increased ROI, providing on-demand task related resources, rationalizing
duplicative training, and reducing delivery costs and increasing organizational efficiency
are also e-business related issues that write out the strategic importance of e-learning
(Mcrea, Gay and Bacon, 2000).
Along with the e-business forces, Urdan & Weggen (2000) related that there are
several factors that facilitate the strategic importance of e-learning. Internet access, for
example, is becoming a given at home and work. Second, advances in digital
technologies have and continue to enrich the interactivity and media content of the web.
Third, increasing bandwidth and better delivery platforms make e-learning feasible and
attractive. Fourth, a growing selection of high-quality e-learning products and services is
now available. Lastly, technology standards, which facilitate compatibility, and usability
of e-learning products are emerging. Mcrea, Gay and Bacon, (2000) believe that the
internet and its distributive architecture will, for the first time, give corporations the
power to combine a series of discrete, unlinked and unmeasured activities into an
enterprise-wide process of continuous and globally distributed learning that directly links
business goals and individual learning outcomes.
With the strategic importance of e-learning being unsurpassed by the old
corporate learning paradigm, the projected benefits are highly attractive. Hall and Karon
(2000) capitalized on the accessibility of courses via intranets and internet, training can
be self-paced, availability of training at any time and place, training being less expensive,
and reduced or eliminated travel time. Urdan & Weggen (2000) added that a higher
retention of content through personalized learning is possible because technology-based
solutions allow more room for individual differences in learning styles. Furthermore,
they highlighted improved collaboration and productivity among students as the online
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environment offers case studies, story-telling, demonstrations, role-playing, and
simulations among other tools. Along this line, Urdan and Weggen also commented that
online training is less intimidating than instructor-led courses. Online learning, they say,
is risk free environment that supports trying out new things and making mistakes.
Therefore, if training and development underline discrete activities, off-site
classroom based on “just in case” learning, misalignment with business objectives and
outcomes, unknown competency gaps, ‘one size fits all’ philosophy and the training
department is in the back office – organizations are far from achieving the strategic
importance of the digital economy and digital learning. Their organizational culture is in
desperate need of change.
Organizational Culture – An Important Consideration
Organizational culture is critical to the fruitful inception, growth and success of e-
learning in any organization. This section will first discuss definitions of organizational
culture. Second it will present the importance of organizational culture to e-learning.
Third, it will conclude with a review of the information presented.
Kotter & Hesket (1992) related that it is helpful to think of organizational culture
as having two levels that differ in terms of their visibility and their resistance to change.
At the deeper and less visible level, Kotter & Hesket related that culture refers to values
that are shared by people in a group and that tend to persist over time even when group
membership changes. At the more visible level, culture represents the behavior patterns
or style of an organization that employees are automatically encouraged to follow by
their fellow employees. Notions, then, of what is important in companies varies; Kotter &
Heskett identified money, technological innovation and employee well-being as being
possible values that may underline organizations. Nahavandi & Malekzadeh (1993)
discussed assumptions as being the third level of culture. This, they said, is composed of
basic assumptions resulting from an organization’s success and failures in dealing with
the environment. These assumptions encompass an organization’s basic philosophy and
worldview, and they shape the way the environment and all other events are perceived
and interpreted. Values, behavior and assumptions combined with organizational
leadership nurture the bond and identity that unites the members of organizations.
Nahavandi & Malekzadeh (1993) shared that leaders influence culture by being role-
models; by controlling reward systems and hiring decisions; and by deciding on structure,
strategy, and physical setting of the organization.
Indeed, having a careful understanding of the three levels of culture and their
functional influence in your organization precedes an e-learning strategic plan. The
strategic importance, previously discussed, is embedded in a risk free environment.
Thus, an e-learning strategic plan that hasn’t addressed its organizational culture has little
viability. Harreld (1998) related that in 1997, the Meta Group reported that 32 of 41
organizations surveyed had measured substantial returns on their investment in intranets
and two companies were close to breaking even. Among the seven corporations where
Intranets were not delivering value, the survey revealed that the work environment was a
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major inhibiting factor. The report related that the organizational culture placed high
value on information possession and control and that these organizations found the basic
nature of the Intranet is in direct conflict with their basic business. Huseman and
Goodman, (1999) warned that the path to becoming a knowledge organization is not
easy. It requires new types of investments, new systems and viewing employees and
customers differently. Huseman and Goodman go on to say that, as always, risks are
proportionate to rewards, the most serious risk for corporate leaders is not to make
decisions that will move them to becoming a knowledge organization. Harreld (1998)
extended that imposing new technologies and management processes on a culture that is
not prepared to embrace them is futile; knowledge management requires people to behave
in some fairly counter cultural ways such as, sharing your know-how with everyone else,
making your mistakes public and spending a lot of time exchanging information.
Nurmi (1999) emphasized that knowledge-intensive firms do not work properly as
a structured, departmentalized, hierarchical organization. Knowledge-intensive firms
work best as process, network, culture, and marketplace for mutual learning and
knowledge. Additionally, Nurmi mentioned that strategy cannot work from above, but
emerges by way of strategic learning and grows into a core competence, where the know-
how of the company and the needs of its customers meet. McCrea, Gay & Bacon (2000)
in discussing business to business e-learning industry recognized that employee value is
not simply measured by the ability to execute strategy and manage teams, but also their
residual pool of on-the-job knowledge they have amassed during their tenure. They go
on to say that until recently corporate managers were still failing to harness the value of
tacit learning.
Recognizing that the technological capability of the organization is only but one
part of the equation. Having an organizational culture that supports and rewards the self-
directedness of employee to continually use and apply learning resources to improve
performance is the other. For this to have occurrence, Harreld (1998), identified the
following as some major issues when reviewing the organizational fabric’s
conduciveness to e-learning and knowledge management. First, leadership must
encourage knowledge sharing through behavior. At Chase Manhattan, for example, the
executive vice president in charge of middle market banking periodically reviews
customer accounts through the bank’s relationship-management system. Because a
question from the executive vice president may come at anytime, managers down that
line make sure that they know the system well. Second, related Harreld, is the need for
process. The organization must find a way to integrate technology with day-to-day work
activity. Third, is the need for operating standards. Standard terminology is particularly
critical when communicating across functional lines. Project teams are not fruitful when
the marketing experts, and ‘techies’, for example, speak their own jargon. This becomes
even more critical with global e-learning. Fourth, is the need for quality controls. If an
organization expects employees to dedicate time to knowledge sharing and learning, the
organization must ensure that their time is well spent. Technologies must be easy to
navigate and be resources that deliver value. Fifth is the need for measures. Measuring
the effectiveness of a knowledge management program serves two purposes: to motivate
individuals to keep using the program and second, to persuade managers to keep funding
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it. Harreld related that IBM has created a scorecard that combines quantitative and
qualitative assessments of Intellectual Capital Management (ICM) system return on
investment. Lastly, Harreld (1998) identified the need for incentives. Integrating
knowledge management and e-learning to compensation and reward systems is desirable
and has more persuasive power. Harreld (1998), warned that while knowledge learning
and sharing require a revisit of organizational culture, care must be taken not to take the
alternate road of structure, strategy and process extinction.
Khajanchi and Kanfer (2000) in their review of knowledge management found
that in creating an environment that encourages knowledge sharing the most important
key is creating processes and an organizational culture. Creating such an environment
would require careful integration of culture and incentive systems with business
strategies. Khajanchi and Kanfer (2000) recognized that every business organization may
have a unique solution depending on its business needs and present environment; thus,
the following findings:
• Xerox used a “people driven” approach in designing its systems.
• The users of Eureka at Xerox were recognized for authoring and validating useful
repair tips.
• HP gave away airline miles for contributions to its Trainer’s Trading Post.
• Sun gave rewards and recognitions to encourage sharing. The company wants to
make knowledge sharing a part of the annual review of the employees.
• Ernst & Young’s senior management provided strong support for knowledge
management as a key competitive advantage. Consultants were evaluated in part
on their knowledge sharing.
Whether it is e-learning or knowledge management, organizational culture plays
an important role in their livelihood. The strategic importance, global issues, and the
development and evaluation of e-learning reviews in this report heighten the significance
of organizational culture in fostering and maintaining e-learning in organizations.
Trainers in an E-Learning Era
The technological innovation is constantly and pervasively altering the way in
which work is done, which, in turn requires that workplace learning and training to occur
on a just-in-time, just-what-needed and just-where-it-needed basis (Basssi, Cheney, &
Van Buren, 1997). E-learning is becoming a norm for corporate training (Chute,
Thompson & Hancock, 1999; Galagan, 2000).
While there is a lot of learner-related information, limited studies have explored
required trainers’ roles and skills in an e-learning scenario (Abernathy, 1998). This
section reviews and discusses trainers’ roles and competencies.
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Trainers’ Roles
Many researchers agree that technology will never replace trainer or instructional
designers, but technology brings with it more demands for teamwork and collaboration
among a diverse group of workers (Wagner, & Reddy, 1999). Trainers, in specific, will
need to take on new roles as their work design and environment changes. The following
is a review of the trainers’ roles.
The traditional trainer roles include instructional designer, instructional developer,
trainer, and materials supporter. As an instructional designer, the trainer performs the
initial analysis and instructional design tasks. He or she also advises on course exercises
and revision. As an instructional developer, the trainer writes course materials, exercises,
and auxiliary materials and develops overheads. A trainer also does course development,
becomes familiar with course flow, and learns how to use the technology. As a materials
supporter, the trainer produces the training materials, manuals, overheads, graphics,
exercises, and so forth (Abernathy, 1998). Lastly, a trainer also facilitates.
In addition to the existing roles, trainers are now involved in technology support,
facility support, and distant-site facilitating (Chute, Sayers, Gardner, 1999). In doing
technology support, the trainer may choose the technology and help install the equipment.
Trainers may also learn how to use the technology. As technology supporter, the trainer
may also coordinate technology issues with the facility supporter and distant site
facilitators. As facility supporter, the trainer may ensure that distant sites are set up and
operable. The trainer, as distant-site facilitator, coordinates all distant-site setup and
ensures that the technology works, welcomes students to class, and is available to
students in case there are problems. When the trainer works hand in hand with the student
support services personnel, the learners’ personal comfort zone increases, allowing
students to focus more on the content and less on the technology. Distant-site facilitator
may also assist other trainers with exercises, distribute work, collect materials, and
administer tests (Abernathy, 1998).
It has also become essential for trainers to use new technologies in working with
participants. Instructors become an orchestrator of multimedia technologies. Much like a
conductors of symphony orchestra, the instructor calls up inputs from various media
sources to enhance the presentation effectively (Davie & Wells, 1998; Weinstain, 2000;
Chute, Thompson, & Hancock, 1999). Some technical skills include: platform skill;
communication skills via computer technologies, authoring, html, and web-research
skills. (http://www.click2learn.com).
In addition, technology-enabled learning fundamentally changes the locus of
control from the trainer to the learner. Trainers are no longer seen as the providers and
creators of knowledge. This is more than a major philosophical change; it has tremendous
practical implications. If the Human Resource (HR) and Human Resource Development
(HRD) personnel cannot give up control of the learning process, then technology is just a
way to shove the same old thing through new channels (Galagan, 2000). Giving learners
more control of the learning process does not mean losing value of corporate education.
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Rather, it indicates that when a learner can sit at a computer and publish a course with the
help of an authoring tool and a public portal, the role of the trainer is changing.
With the advent of content providers, training management systems, portals,
delivery systems, authoring tools and integrated solutions, the trainer is also becoming
the coordinator between internal and external training resources. As companies outsource
their training (Bassi, Cheney, & Buren, 1997) trainers are expected to coordinate and
create structures to support networks of internal and external providers. Leonard (1996)
describes the new trainers’ roles as someone who facilitates, mentors and guides
employers and employees to use the best and most timely training available. The goal of
the corporate trainer, Leonard says, is to find, interpret and assess a wide range of
information and technologically sophisticated products.
Even though trainers are expected to play multiple roles, they cannot do e-
learning alone. E-learning is labor intensive and is dependent on an array of skills. Thus,
a team approach is a more likely choice for the institutionalization of an e-learning
program. Team members could include graphic designers, network managers, server
installers, end-user support personnel, programmers, instructional designers, and content
experts (Driscoll, 1998).
Trainers’ Competencies
Given the changing nature of trainers’ roles, their competencies are critical. Four
competency categories will be discussed. They are: understanding adult learners,
instructional competencies, personal competencies (Weinstain, 2000) computer skills,
business and strategic planning skills.
All trainers are expected to have some knowledge on adult learning. In specific,
trainers are expected to understand the following: (1) adults want practical knowledge,
not theory; (2) adults have preferred learning styles; (3) adult learners are diverse and
unique; (4) adult learners are motivated and curious; (5) adult learners already have much
knowledge and experience; and (6) adult learners need problem-solving skills.
In reference to instructional competencies, trainers are expected to: (1) develop
expert knowledge and experience; (2) know about participants’ work places; (3) organize
materials carefully; (4) keep ideas simple; (5) establish an appropriate climate; (6) use
various teaching methods; (7) develop questioning skills; (8) improve research skills; (9)
work on the writing skills; (10) facilitate to educate; (11) improve presentation and
platform skills; (12) polish group skills; (13) focus on feedback; and (14) be an effective
evaluator.
Personal competencies are inclusive but not exclusive to: (1) love learning; (2)
show respect for learners; (3) motivate learners; (4) communicate effectively; (5) work
your network; (6) take time for reflection and (7) be a good team player.
Computer skills cannot go unmentioned. Trainers are also expected to know
about and be able to use computers. Johnson, Palma-Rivas, Suriya & Downey (1999)
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related that instructors need to know basic operation of word processing and presentation
software, multiple web browsers, and HTML editors. For synchronous activities,
Johnson, Palma-Rivas, Suriya and Downey also highlighted that instructors need to be
able to broadcast and archive live audio and use text chat to interact with students.
With e-learning being aligned with the organizational, business and human
resource strategic plans, and with e-learning being performance-oriented and enterprise
related, trainers are expected to dominate at least basic business and strategic planning
knowledge and skills. McGrea, Gay and Bacon (2000) related that learning organizations
are under direct scrutiny to demonstrate direct contributions to the bottom line.
Managers, then, must focus their efforts on learning initiatives with financially
quantifiable outcomes. As discussed later in this report, in the past few years there have
been a measurement renaissance for all corporate staff functions, including the human
resource and training and development functions (Hackett, 1997). Chief executives are
increasingly concerned with the impact of training on “the bottom line” (Phillips, 1997),
thus, training is no longer viewed as simply a cost associated with doing business.
Organizational leaders want to now how training is impacting organizational
effectiveness and competitive position. According to Holton (1995) pressure is being
placed on HRD and training departments to demonstrate that interventions and programs
are contributing to “the bottom line” of the organization. In order to determine training
value, training professionals must provide evidence that the expenses associated with
designing, developing, and delivering a given training program will add value to the
organization. This value, however, has its roots in the initial inception of e-learning
which is – the strategic planning process. Hence, trainers and managers, alike, need to
have the business and strategic planning competencies to facilitate a value-added
enterprise e-learning system.
Trainers represent the major link between the old and new training paradigm in
organizations. For trainers to continue being champions of employee training and
development, new roles and competencies are desirable and inevitable. While, a review
of new roles and competencies have been presented they by no means are exclusive as
roles and competencies will continue to be dynamic as they respond to the external and
internal environmental changes affecting the new economy.
Online Learners
Like trainers, the role of the learner is changing. Traditionally, students meet
instructors face-to-face in a physical setting, with e-learning, students meet instructors
virtually via electronic media. Certain learner-related issues must be discussed when
considering an e-learning platform in any organization.
This section reviews and discusses the following issues: learning styles; learner’s
attitude towards using technology; desirable learner’s skills; online interaction and
communication. This section concludes with an overview.
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Learning Style and Computer-Mediated Learning
Learning style has been defined by Keefe (1979) as “the characteristic behaviors
of learners that serve as relatively stable indicators of how they perceive, interact with,
and respond to the learning environment.” There are many learning theories and
corresponding learning style measurements. Different learning style theories and
measurement focus on different levels of a person’s characteristics. It is helpful to
organize these learning theories by Curry’s (1983) metaphor of an onion, in which the
layers of the onion are analogous to the different levels of a person’s characteristics or
style. At the core of the onion is style related to basic personality traits. Measurement
developed within this research area assesses the influences of basic personality on
preferred approaches to acquiring and integrating information, such as Herman Witkins’
Group Embedded Figures Test (GEFT)(1971), which measures the extent to which a
person is influenced by a surrounding field. The next layer, information-processing, is the
individual’s preferred intellectual approach to assimilating information. One well-known
instrument is David Kolb’s Learning Style Inventory (LSI) (1976, 1985). Social
interaction, the third layer, addresses how students interact in the classroom. The Grasha-
Reich Mann Student Learning Style Scale (LSS) (Grashna, 1972) analyzes this layer. The
LSS asked students questions concerning their attitudes toward learning, their views of
the instructor and/or peers, and reactions to classroom procedures, revealing three
contrasting styles: dependent-independent; competitive-collaborative, and avoidance-
participant. Finally, the outer layer of the onion is concerned with instructional preference
and the individual’s preferred environment for learning. Canfield’s Learning Style
Inventory (1980) is such an example.
Although there are no universally accepted learning theories, Kolb’s experimental
theory of learning integrates many of the competing perspectives (Bostrom, Olfman, &
Sein, 1990) and has become one of the best-known learning style theories. Kolb’s
Learning Style Inventory (LSI) (1985) contains 12 sentence stems, each having four
sentence completers to be rank ordered. This inventory is psychometrically rated as
strong in regard to reliability and fair in terms of validity (Hickcox, 1995) and is widely
used in computer-mediated learning studies. It draws ideas from Dewey’s (1938)
experience-learning theories that stress the need for learning to be grounded in
experience; Lewin’s perspective that emphasizes the importance of being active in
learning; and Piaget’s (1985) emphasis on intelligence as the result of the interaction of
person and environment. For the purpose of this review we will discuss Kolb’s
experimental learning theory.
Kolb’s (1984) experiential learning theory conceives of learning as a four-state
cycle starting with concrete experience, which forms the basis for observation and
reflection upon experiences. These observations are assimilated into concepts and
generalizations about experiences, which, in turn, guide new experiences and interactions
with the world. This model reflects two independent dimensions: Concrete Experience
(CE) – Abstract Conceptualization (AC); and Active Experimentation (AE) – Reflective
Observation (RO). These two dimensions form four quadrants reflecting four learning
styles: Accommodator, Diverger, Assimilator, and Converger. Active experimentation
with concrete experience comprises the Accommodator learning style. Accommodators
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have the ability to learn primarily from “hands on” experience. Reflective observation
with concrete experience comprises the Diverger learning style, which view concrete
situations from many different perspectives. The Assimilator learning style is comprised
of reflective observation with abstract conceptualization. Assimilators are good at
understanding a wide range of information and putting it into concise, logical form.
Active experimentation with abstract conceptualization describes the Converger learner,
who tends to find practical uses for ideas and theories.
Learning style is purported to have relatively stable characteristics; however,
some change or development is also expected (Loo, 1997). Kolb (1984) sees individuals
progressing from concrete to reflective observation to abstract conceptualization to active
experimentation. Few studies have empirically examined changes in style by using
Kolb’s LSI and even those that have, have presented mixed findings. For example, Sims
et al. (1986) reported a high number of subjects who change style classification from one
administration to another. A study by Ruble and Stout (1991) found that 56% of
respondents maintained the same learning style classification and interpreted this finding
as an indicator of modest classification stability. They also report that 16% of participants
changed to opposite categories. However, some other studies, with different sample sizes
(152, 55, 176) and during different intervals (10 weeks, 1 year, 3 years), have reported
significant positive test-retest correlations of LSI scores, and have concluded that
learning style is stable in categories, four subscales and two dimensions (Loo, 1997;
Pinto & Geiger, 1991; Rakoczy & Money, 1995). Unfortunately, these studies focused on
evaluating the measurement itself and failed to control the learner’s learning
environment. Clearly the effective learner is the person who adapted his or her learning
style to the demands of the situation. Therefore, we have reasons to doubt whether
learning style could maintain stability in a computer-mediated learning environment.
Very few studies have examined this issue.
Roy B. Clariana (1997) studied learning style in computer-assisted learning
(CAL) by using Kolb’s LSI among three age groups: 13-14 years, 19-21, and adult
education majors. For the 13-14 years age group, he found learning style dimensions
changed during a 5-month period from abstract conceptualization (AC) towards the
concrete experience (CE) and from reflective observation (RO) towards active
experimentation (AE) dimensions. The same shift pattern was found for the other two age
groups in a 5-week period of exposure to CAL. Clariana believed the results were due to
the fact that learners were encouraged to try new things and have more hands-on
activities in CAL than in traditional classrooms. Hence, concrete experience and active
experimentation were more evident than abstract conceptualization and reflective
observation. The magnitude of the shift appeared to vary with learner ability and extent
of exposure to CAL. The longer students study in CAL, the greater the change. Students
with high abilities shift more greatly than those with low abilities.
A study by Cohen (1997), though, does not indicate a learning style change after
one year. He investigated whether learning styles will change after a year of schooling in
a learning environment where computers are used as cognitive tools and are dedicated to
a constructivist approach to learning. Although the results failed to show a change after
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one year, they suggested that learning style is clearly affected by factors within this
technology- rich environment. It must be mentioned though that in this study, Cohen
applied Dunn and Dunn’s Learning Style Inventory instead of Kolb’s LSI.
By adapting Kolb’s experimental learning theory and LSI, Gunawardena and
Boverie (1993) study the interaction between adult learning style and computer-mediated
classes compared with non-equivalent traditional classes. They focus on the interaction
between learning styles and the media, methods of instruction and group functioning in a
distance learning class using audio-graphics and computer-mediated communication.
They find that learning styles do not impact how students interact with media and
methods of instruction, but does affect satisfaction with other learners. Accommodators
being the most satisfied and the Divergers the least satisfied with class discussions and
group activities. In 1991, Sein and Robey also used Kolb’s LSI to study the interaction
between learning style and efficacy of computer training methods. They concluded that
Converger subjects who combine active experimentation and abstract conceptualization
perform better than subjects with other learning styles. This suggests that students’
learning outcome when using computer application software may be affected by the style
of the learner, regardless of the training methods. However, in an endeavor to seek the
relationships between learning style preference and the effectiveness and acceptance of
Interactive Video Instruction, Larsen (1992) finds no significant differences between
learning style groups and suggests that both effectiveness and satisfaction are
independent of students learning style preference.
Other studies that applied different learning style measurements also have mixed
results. Orr and Davidson (1993) failed to find any significant interaction between
learning style and performance and attitude in group computer-based instruction by using
Murphy-Meisgeier Type Indicator (MMTIC) (Meisgeier & Murphy, 1987). Brenner
(1997) concluded that cognitive style does not impact student success in asynchronous
distance education by applying Field-dependent and Field-independent Inventory.
Adapting Dunn and Dunn’s (1989) Productivity Environmental Preference Survey
(PEPS), Gordon (1995) does not find any learning style difference between on- and off-
campus students. Some studies, though, indicated a strong link between an individual’s
cognitive style and their reactions to computer-assisted instruction (CAI) or to computers
in general(Whyte, et al., 1995). Moldafsky and Kwon (1994) indicated that cognitive
style could be responsible for an individual’s skill in information processing, decision-
making attitudes toward computers and computer anxiety. Hsu, Frederick and Chung
(1994) found that individuals with a particular cognitive style significantly outperformed
others in recalling their computer-based instruction content. Rowland and Stuessy (1988)
in matching alternative modes of CAI to cognitive style found that cognitive style, in this
case holistic and serialistic, interacts with various modes of CAI to influence student
achievement.
While the review reflects limited and inconclusive research on learning styles and
CAI, it can be said that learning styles do play an important role in adult learning.
Adhering to learning styles when planning, designing and implementing online training is
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one way of communicating to adults that they are valued assets to the learning process
and the organization itself.
Learner Attitude towards using Technology
Learners’ perceptions about the characteristics of instructional delivery media and
their ability to learn using these media have been shown to be key determinants in
predicting student motivation and success in traditional classrooms (Coggins, 1988; Gee,
1990). These perceptions may also be equally important when implementing computer
technologies as the major source of information transfer to students in computer-
mediated learning environments.
Few empirical studies indicated an interaction between learning style and attitude
toward computer technology. According to Reiff and Powell (1992), their reflective
observation subjects had a negative attitude toward computers. They suggested that for
students whose learning styles are concrete and experimentation-activity oriented,
computer-assisted instruction would be an appropriate option, while when reflective
learners are introduced to this method of instruction, they may feel uncomfortable and
frustrated. Similarly, a study by Enochs, Handley, and Wollengerg (1984) found that “…
students with more interest in objects or things (concrete experience) and less interest in
working with people learned better using computer-assisted instruction.”.
Smith’s (1982) Learning-How-To-Learn (LHTL) theory suggested that learners
rely on a “bag of tricks” which included prior learning strategies and tactics, as well as
things that worked in other situations to make sense of a new environment. Eastmond
(1995) indicated that prior learning experience, among other factors, is important for
students to adjust to online learning. Al-Kodmany et al’s (1999) case study on using
Asynchronous Learning Networks (ALNs) to teach students on two different campuses
found that without prior exposure to the technologies involved, the technologies used in
the course became barriers to learning. One of their suggestions for online instruction is
not to attempt teaching the technology and the course at the same time, rather, impose
certain prerequisites on technologies that are used in the course or include a mini-course
on the technologies that are part of the course itself. Researchers have also argued that the
successful implementation of any new technology depends on factors related to users’
attitudes and opinions (Davis, Bagozzi, & Warshaw, 1989; Zoltan & Chapanis, 1982).
For instance, Webster and Hackley (1997) studied teaching effectiveness in technology-
mediated distance learning and found a positive relationship between students’ attitudes
toward technology and their learning outcomes. It seems, then, that being knowledgeable
about technologies and knowing how to use them is key online learning outcomes.
Desirable Online Learners’ Skills
Several researchers have identified individual characteristics that seem to describe
a successful online student. Gibson (1996) found that it is critical for distance students to
be focused, better time managers, and able to work both independently and as group
members, depending on the delivery mode and location of the distance course. Other
studies suggested strong self-motivation, self-discipline, independence, and assertiveness
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as important characteristics of online students (UI Online program:
http://www.online.uillinois.edu/index.html; Hardy & Boaz, 1997; Baker, 1995).
Eastmond (1995) pointed out that self-directed learning is a desirable trait and
function of not only learners but also of instructional facilitators and the sponsoring
institution. Indeed, this is important if e-learning is to encompass formal, informal,
planned and unplanned learning. For an organization to be conducive to the sharing of
tacit knowledge, for example, self-directed learning is crucial. Self-directed learning is
the impetus of organizational learning at all levels.
Khan (1997) highlighted that if learners are to employ these skills, the learning
environment must be supportive and rewarding of these behaviors. Learners should be
given full access to a wide range of information (i.e. objectives, learning strategies), and
communication options, both synchronous and asynchronous that can be used in large
group, small group, and one-on-one settings. In addition, learners should be given
feedback and the opportunity to provide feedback on the learning process and content.
This gives learners buy-in power and improves the learning architecture.
Given the dynamic nature of e-learning and technology, online learners’ skills are
bound to change and grow; thus, there are many that were not and have not been
captured here. In addition, given the inter-lapping nature of this report, online learners’
skills will either appear directly or indirectly in other discussions. The following is a
summary of what was discussed here:
• Needs of distance learners: access to information, communication and advising
needs.
• Several factors that seem particularly important in distance learning situation:
high levels of student motivation, a strong work ethic, and intensive student
support measures often results in success for learners in distant classrooms.
• Special sets of skills: strong motivation to learn; self-disciplined
strong time management.
Online Interaction and Communication
Another form of empowering online learners is by providing multiple forms of
interaction and communication opportunities. Davie & Wells (1991) related that a sense
of mastery and community are two elements that support personal power. While a sense
of mastery entails acquisition of skills for participation in the electronic classroom, a
sense of community is the feeling of belonging to a supportive group of individuals
working together to make meaning, combat mutual isolation as distance learners, to
provide support for and challenge one another and to learn to value the contributions of
oneself and others. As facilitators, trainers are encouraged to increase interaction with
students because instructors that are aware of their students as unique individuals are in a
strategic position to support a sense of mastery and community.
Another empowering opportunity is synchronous and asynchronous learner-
learner interaction. Collaborative learning techniques driven by the course content and
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process or informal techniques established by the students and enhanced by collaborative
technologies are excellent mediums for interaction and communication. Soo & Bonk
(1998) in asking experts to rank types of interactions found that asynchronous learner-
learner interaction was rated the most important type of interaction. Soo & Bonk,
however, also noted that technology seems to be the factor that both enables and
constrains the learning we want to instill in these online environments. Neal (1997)
accentuates Soo and Bonk’s concern, by saying that multiple technologies provided
richer communication than any one technology alone. Each technology promoted a
different type of interaction and used different senses. Neal also added that each
technology proved effective for different students’ learning styles.
Overall, learning styles, attitude towards using technology, online learner skills
and online interaction and communication are some important factors that need critical
consideration when planning, designing and implementing an e-learning system. Learners
need to be valued and taking time out to review the issues discussed above is just the
beginning of the valuing process and of your e-learning program’s success.
Evaluation of E-learning
“In the past few years there have been a measurement renaissance for all
corporate staff functions, including the human resource and training and development
functions“ (Hackett, 1997). Chief executives are increasingly concerned with the impact
of training on “the bottom line” (Phillips, 1997). Training is no longer viewed as simply a
cost associated with doing business. Organizational leaders want to now how training is
impacting organizational effectiveness and competitive position. According to Holton
(1995) pressure is being placed on HRD and training departments to demonstrate that
interventions and programs are contributing to “the bottom line” of the organization. In
order to determine training value, training professionals must provide evidence that the
expenses associated with designing, developing, and delivering a given training program
will add value to the organization. In many organizations, evaluation is identified as the
most appropriate method for demonstrating how training adds value (Preskill, 1997).
The impetus for measuring the value of training has primarily been reactive
measures. Some organizations have reacted to reengineering and downsizing efforts;
while others have needed to measure improvements from radical new processes (Hackett,
1997). There is also a movement toward a proactive measure of intellectual capital as a
non-financial asset and training and development is a key component in measuring
intellectual capital (Hackett, 1997). Finally, in many organizations the status of the
training and development function has been heightened in recent years. For many,
training has become an integral part of competitive strategy. This enhanced visibility
requires more accountability, hence organizations have increased efforts to measure and
evaluate the success of training (Phillips, 1997). As a result of the above-mentioned
forces, evaluation of training and development programs and interventions are, among
others, the most critical issues facing training professionals today.
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Organizations use a variety of methodologies to evaluate training programs. The
methodology should be driven by the purpose of the evaluation. There can be multiple
reasons to evaluate a training program. Phillips (1997) outlines ten broad purposes and
uses of evaluation:
• To determine the success in accomplishing program objectives.
• To identify the strengths and weaknesses in the HRD process.
• To compare the costs to the benefits of an HRD program.
• To decide who should participate in future programs.
• To test the clarity and validity of tests, cases, and exercises.
• To identify which participants were the most successful with the program.
• To reinforce major points made to the participant.
• To gather data to assist in marketing future programs.
• To determine if the program was the appropriate solution for the specific need.
• To establish a database that can assist management in making decisions.
One of the most common training evaluation approaches is the Kirkpatrick model,
which was first established in 1959. Kirkpatrick’s model is a four level process used to
determine the effectiveness of training in order to improve future programs and to
eliminate programs that are ineffective. In a study of training and HR executives of
Business Week’s 1,000 companies, 51 percent of respondents indicated that their
organization used the Kirkpatrick evaluation model (Hackett, 1997).
Kirkpatrick (1996) defined the four levels of evaluation as follows: Level 1
evaluation, Reaction, involves measuring how participants react to or feel about a training
program. This is basically a measure of customer satisfaction. “Smile sheets” provided at
the conclusion of a training event are an example of evaluation at the reaction level.
Level 2 evaluation, Learning, measures the extent to which participants’ knowledge,
skills, and attitudes change as a result of training. The use of pre and post tests to measure
learning is an example of a level two evaluation design.
Level 3 evaluation, Behavior, examines the extent to which change in behavior
has occurred because of attending a training program. In essence this level attempts to
measure on-the-job changes in performance resulting from training. Using a control
group in order to assess behaviors prior to and following completion of training is one of
the best ways to gather data at this level. Finally, Level 4, Results, can be defined as the
final results that occurred because employees attended the training program. Results may
include increased production, decreased costs, improved quality, reduced turnover, higher
profits and return on investment. As the level of evaluation increases so does the
difficulty and costs associated with the evaluation.
While Kirkpatrick’s model is commonly accepted by trainers it is rarely fully
implemented and its applicability in today’s organizations is increasingly questioned
(Holton, 1995; Hackett, 1997). As organizations rethink the role of training, they are also
rethinking how to evaluate training. Methods used to measure training effectiveness are
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changing to meet a workplace where learning has become an integral part of daily work
activities (Hackett, 1997).
Training Effectiveness In E-learning
The use of technology in education and training is transforming the way that
people learn in today’s academic and corporate settings. According to the 1999 Training
Industry Report, technology training budgets in the corporate setting increased 13% from
1998 to 1999. While stand-up classroom instruction is still the most common delivery
method for training, web-based training is quickly gaining ground (Bernstein and
Auerbach, 1999). The shift from traditional face-to-face classroom instruction to
technology-based instruction is expected to continue at an accelerated pace into the new
millennium.
The rapid growth and integration of e-learning programs has prompted experts,
authors, and researchers to question how best to evaluate the effectiveness of such
programs. The change in training delivery methods comes at a time when corporate
training departments are increasingly charged with demonstrating how their efforts add
value to the organization (Hackett, 1997; Phillips, 1997; Holton, 1995; and Parsons,
1995;). Regardless of the delivery method, organizations are looking to training
professionals to identify how training helps the organization. Instruction delivered via
electronic mediums, like any other instructional process or procedure, requires the use of
evaluation to measure its effectiveness. Hence e-learning initiatives are subject to the
same effectiveness measures as traditional training programs.
Many questions regarding the effectiveness of e-learning have surfaced. One of
the most common questions raised is simply “How effective is it?” (Thompson, 1998;
Edwards and Fritz, 1997; Chute, Thompson, and Hancock, 1999). Measuring the overall
effectiveness of e-learning requires a multilevel evaluation approach that requires
systematic analysis of different sources and types of information. According to Chute,
Thompson, Hancock (1999) both scholarly research and practical experience have shown
that distance learning is educationally effective, offers business value, and is in many
cases more cost-effective than other approaches. They suggest ten key points to a
successful distance learning program:
• Determine needs up front.
• Look to distance learning as a way to revitalize and innovate existing training
programs.
• Use multilevel evaluation approaches.
• Keep the focus on what is learned, not on the technology that is helping you learn.
• Market distance learning programs internally and externally.
• Use on-site coordination.
• Obtain local field manager commitment.
• Make sure the instructors are well trained.
• Design programs specifically for distance learning.
• Use reliable equipment.
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Determining which sources of information are most relevant and important is
critical. Hence, this portion of the paper will highlight measurement variables frequently
mentioned in the literature as being important to e-learning effectiveness. The variables
examined include learner satisfaction, technology satisfaction, measuring learner
outcomes and cost effectiveness. To examine these variables, studies on the effectiveness
of e-learning will be reviewed.
Learner Satisfaction. The proliferation of distance learning courses and delivery
methods has caused extensive monitoring of quality- related learner experiences (Sherry,
Fulford, and Zhang,1998). Learner satisfaction has been found to be an important
component in the effectiveness of e-learning systems, thus, the importance given to
learner experiences (Chute, Thompson, and Hancock, 1999; Smith 1998). The learners’
level of satisfaction with the media and processes used to create the learning environment
plays upon the learners’ desire to participate in future e-learning courses. Because learner
satisfaction is a major component of successful training and particularly important to e-
learning courses, careful analysis of the different aspects of learner satisfaction is an
important component of evaluating e-learning courses (Chute, Thompson, and Hancock,
1999). Wisher and Curnow (1998) suggested that while favorable reactions to training
alone do not necessarily indicate that learning has taken place, they are useful to collect
for three primary reasons:
Positive reactions help to gain or maintain organizational support for training.
Reaction measures can serve as a source of immediate feedback to training providers,
including instructors, production staff and training event organizers.
Insight can be gained from subgroup analysis, allowing for analysis of training impact
across subgroups.
Like traditional classroom-based instruction, e-learning courses have multiple
aspects that impact the learner’s experience. Level of participation and interaction, the
amount and quality of feedback, the learning environment, and technology are frequently
mentioned in the e-learning literature as aspects which have a significantly impacted the
learner experience and level of satisfaction.
Participation and Interaction. Communication and interaction among learners in a
educational or training course is a very important component of effective instruction.
Interaction allows students to learn from one another and from the instructor. Thompson
(2000) suggested that procedures for out of class communication between learners and
instructor is important, because students are potentially geographically dispersed in e-
learning courses. Special attention must be focused on building interaction and
communication into course design. In a study of a university distance learning course,
Smith (1998) discovered that the interpersonal relationships and interactions of learners
affect the distance learning experience. He suggested that instructor-to-student and
student-to-student interactions are critical components of the distance learning
experience. Smith goes to state that remote learners are not satisfied with interactive
activities perceived as irrelevant, regardless of the time and effort required. However,
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when making efforts to include online learners, instructors must be cautious not to create
problems for on-site learners.
Thomas (2000) related that potentially inadequate levels of human interaction
should be considered as a critical factor in the success of technology-based learning.
Development of strategies for reducing the psychological distance and increasing
interaction between participants in e-learning courses is very important. The need for
communication and interaction can be analyzed from two primary perspectives, learner-
to-learner and learner-to-instructor.
Thompson (2000) also discussed the importance of social presence in distance
education. Social presence is defined as “the degree to which an individual is perceived
or experienced as a “real” person.” Thompson goes on to suggest that the instructor
ability to create a high level of social presence contributes significantly to instructional
effectiveness and learner satisfaction. Additionally, social presence can impact
motivation and learning.
In an analysis of a Human-Computer Interaction course delivered via Lotus
LearningSpace, Neal and Ingram, (1999) suggested that the teacher-learner feedback
loops that allow teachers to measure how the class and particular students are progressing
were largely absent in an asynchronous environment. This made it difficult to measure
learning until the end-of-course evaluation process was completed. They suggested the
integration of real-time discussions and chats will help to better facilitate learner-to-
learner and instructor-to-learner communication. Neal and Ingram also said that that e-
learning allows for improved activity over traditional instruction.
Urdan and Weggen (2000) indicated that e-learning solutions can provide more
collaboration and interaction with peers and experts as compared to traditional
instruction. They suggested that interaction is facilitated by the fact that the instructor
does not monopolize student attention in an online learning environment. Urdan and
Weggen (2000) shared that “electronic learning solutions can offer more collaboration
and interaction with experts and peers as well as higher success rates than the live
alternative”. They identified case studies, role-playing, simulations, streamed video,
project teams, chat rooms, bulletin boards, online references, personalized coaching, and
email as some techniques that could help create an interactive online environment. The
authors also argued that distance learning can be more stimulating and encourage more
critical reasoning than traditional classroom instruction because when using the above
mentioned activities it can allow for group problem solving.
Feedback. The amount and quality of feedback provided to the learner has an impact on
learner satisfaction. Feedback is particularly important to the effective delivery of e-
learning courses. E-learning delivery methods such as web-based instruction can provide
barriers to traditional type classroom feedback. For instance, in a web-based course
learners cannot simply raise a hand and ask for clarification about a point made by the
instructor. Hence, the design and integration of feedback mechanisms impact the
learners’ experience and level of satisfaction.
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According to Neal & Ingram (1999) distance learners do not receive the day-to-
day feedback available in traditional classroom settings. Instructor-student feedback is
important as it helps the instructor to gauge the level of student satisfaction regarding a
topic or an entire course. Because of the loss of traditional classroom feedback in e-
learning environments, other methods to assess learner satisfaction need to be
administered.
Learner feedback during and after the learning event is important to successfully
measure levels of satisfaction. E-learning courses, because of the lack of face-to-face
contact between instructor and student, require special efforts in order to obtain
information regarding learner satisfaction. For example, e-learning courses don’t allow
the instructor to gauge levels of learner satisfaction using traditional methods such as
facial expressions or body language. Neal and Ingram (1999) suggested that questions
related to the efficiency of what students have learned and their level of satisfaction with
distance learning courses remain largely unanswered until the traditional end-of-course
evaluation forms are completed and reviewed. Special attention must be given to obtain
student feedback in e-learning.
Sherry, Fulford, and Zhang (1998) conducted studies on two different measures of
distance learners’ satisfaction with instruction. The studies were held at a major
University known for its early consistent involvement in distance education. The courses
were delivered via live two-way audio and video technology. The first study analyzed the
accuracy of a short, written survey designed to obtain learner perceptions for opportunity
to interact in the distance education course. The survey included questions regarding
interaction between the instructor and learner-to-leaner interaction. Results revealed that
instructor-to-class interaction is positively and moderately correlated with perception of
learner-to-learner interaction.
The second study by Sherry et al. examined the utility and feasibility of the Small
Group Instructional Diagnostic (SGID) evaluation process in distance education. SGID is
an interactive evaluation process tested at the University of Massachusetts. The SGID
examines broad views of the instructional environment.
In the SGID evaluation process, course instructors volunteer for a facilitated mid-
semester evaluation. A trusted colleague who usually has experience in faculty
development conducts the evaluation. The facilitator guides the class through three
questions regarding what helps, hinders, and should be changed about the course.
Comments are displayed for the whole class to consider and rank. The facilitator reviews
the list with the instructor. Finally, the instructor discusses the list and planned changes
with the class.
Participants for the study consisted of students enrolled in two education courses
delivered by two-way video and audio and graduate and undergraduate students in a
traditional classroom setting in a similar field of study.
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At the conclusion of the course, the distance education students and traditional
students were asked questions regarding the pros and cons of the SGID evaluation
process. Distance learners expressed concern about the investment of time required to
conduct the SGID. However, distance learning students expressed an overall satisfaction
with the use of SGID to measure the instructional climate.
Technology Satisfaction
Curriculum Delivery Methods and Preferences. There are many methods used to
deliver e-learning courses. Web-based, CD-ROM, satellite, teleconferencing, and
television are some of the more common delivery methods. Courses are also delivered
using a combination of two or more different delivery methods. Porter (1997) related that
one of the greatest strengths of distance learning lie in the different formats by which
information can be presented. Different formats allow for different learner preferences to
be met. Identifying which method or combination of methods is best suited for a given
topic or course requires careful analysis of curriculum design, delivery technologies, and
instructor and learner requirements. Combined, these components are important to
evaluation at the system level (Chute, Thompson, Hancock, 1999). They must function
together in order for e-learning efforts to be successful.
As with traditional instruction, regardless of the delivery method used, curriculum
design is the most critical component of e-learning courses. Thompson (1999) supported
this notion by stating that close attention to curriculum design and delivery is of critical
importance to successful e-learning interventions. All other components are built upon or
around the curriculum. Hence, when deciding on a delivery method, it is necessary to
match the delivery method to the curriculum design.
In a report on the effectiveness of web-based instruction, the NEA also suggested
that that the quality of instruction is the most important factor that determines the
effectiveness of web-based instruction. Goodwin (2000) also supported this perspective
by stating that instructor and curriculum quality, whether training in a traditional
classroom, two-way video conferencing, or via a web-based environment, ultimately
determines the effectiveness of a training or education intervention. A good curriculum
can potentially make up for poor quality media, but it doesn’t work the other way around
(Hall, 2000).
While curriculum design is identified as the most critical component of e-
learning, there are other aspects of e-learning courses that contribute to effectiveness. The
learning environment and user interface design are frequently mentioned in the literature
as key components to effective e-learning systems.
Learning Environment. Technology-based learning methodologies require a focus on
the learners’ environment. The ease with which the leaner can navigate through the
learning environment affects the amount of learning that occurs as well as the learners’
level of satisfaction with the course. A web-based course that is difficult to navigate is
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less likely to be satisfactory to users. According to Thomas (2000), success in
technology-based learning programs is based on an orientation to the learner not the
instructor. A strong focus on the learner and the learning environment is a shift from
traditional instructional design and development techniques. Norton and Wilburg (1998)
believed that learner-based tools should be selected based on the way that they help
students learn. The most important thing is how well the tool supports the learning
process.
Smith (1998) described several important characteristics of distance learning
program in a university setting. First, he identified that the interconnection between
satellite sites by two way audio/video systems does not provide the same type of
interaction available to students in a regular face-to-face classroom environment. The
experience of being at an off-site location, due to technological limitations, contributes to
the perception of the distance learning experience. Second, the site location where
learners are located contributes to learner perception and understanding of the distance
learning situation. This involves the level of constructed reality in distance learning
situations.
Authors have identified evaluation type questions to guide the development or
evaluation of learner-based tools. When selecting a multimedia environment, Norton and
Wilburg (1998) suggested that instructors should ask the following questions:
• What is the theoretical approach to learning that guides the design of the learning
environment? Is it a theoretical approach with constructivist ideas of learning,
providing opportunities for learners to explore and interact with rich problems, or
is it behavioristic, introducing information in small chunks, containing
reinforcement aimed solely at the individual learner?
• Does the learning environment support opportunities for student groups to discuss
and work with the material?
• Is the learning environment well organized? Is it easy to navigate? Are there clear
pathways to locating necessary information? If there are different parts, are the
functions and uses of each clearly identified?
• Are there different ways to use the environment, including the possibility to make
choices about the kinds and levels of learner control?
• Are a variety of perspectives presented for the concepts taught? Are students
encouraged to critically evaluate information regardless of whether that
information is presented as images, sounds, or text?
• Within the structure of the learning environment, are opportunities provided for
student to build their own links between different types of information?
The authors believe that these questions can be used to help in the selection of various
learning environments – videotapes, software or audio tapes. They are good examples of
what types of concerns need to be analyzed when evaluating e-learning applications.
Interface Design. Online education and training is one of the most promising delivery
methodologies associated with e-learning. Organizations stand to gain many benefits
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associated with online training. Decreased travel costs, just-in-time learning and higher
retention through personalized learning are just a few of the potential benefits (Urdan and
Weggen, 2000). However, when delivering training via online learning there are some
special design concerns. Selecting a delivery technique or combination of techniques is of
the most important of these concerns. Online delivery techniques fall into one of two
categories, synchronous or asynchronous.
Synchronous course delivery is real-time, instructor lead on-line learning, in
which all learners are logged on simultaneously and communicate directly with each
other. Examples include virtual classrooms, audio/video conferencing, and two-way live
satellite broadcast lectures (Urdan and Weggen, 2000). Asynchronous course delivery is
a learning event in which learners cannot communicate without time delay. Examples
include self-paced courses over the Internet or CD-ROM, streamed audio/video web
presentations, online chats and discussion groups, e-mail, and video tapped classes
(Urdan and Weggen, 2000).
User interface design is important whether delivering training synchronously or
asynchronously. User interface design refers to the overall look and feel of the program
that allows learner to access information (Hall, 1997). Identifying what navigational tools
are most user-friendly and where to place information are concerns associated with the
design of the user interface.
When evaluating the user interface, Brandon (1997) identified the following
questions: Is the course intuitive to use, such that the learner needs little or no explanation
to proceed through the course? Is the overall screen design consistent, consolidated, clean
and clear? Are the graphics appealing and understandable? Answering these questions
will help to ensure that the user interface design is effective and user friendly.
Researchers have examined learner satisfaction with user interface designs. The
Telematic Center at the University of Exeter conducted a pilot study for assessing the
effectiveness of Information and Communication Technology (ICT) training. The project
gathered information data from nineteen business users that provided information
regarding their use of ICT for personal and business uses. Completed questionnaires
regarding the design of a user interface, identifying and capturing images (e.g., movie
video and audio) and the consideration of different training models and processes.
The Telematic Center pilot of ICT training revealed that inter-activity should be
enhanced (i.e., use of images and video clips for education and training). For example
more images and embedded activities should be included. Also, findings from this pilot
study opened dialogue between education and business leaders regarding the value of
ICT skills training.
van Rennes and Collis (1998) studied student reactions to interface design of a
WWW-based course at the University of Twente, Netherlands. Specific design related
conclusions were drawn from learner responses to a questionnaire and traces of learner
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usage. The researchers identified seven guiding principles to designing a learner-friendly
user interface.
• Learners do not like to study by reading from the screen. They printed, portable,
instead of hyper linked material, so they can study away from the computer.
• Learners do not want to go more than three clicks to find what they need.
• Learners appreciate a navigation frame that is always available.
• Learners are sensitive to the readability of on screen text, its layout, and
consistent screen design. The formatting and spacing of the text as well as color
are also important.
• Learners are not greatly concerned with images and logos on the site pages, but
they do like being able to distinguish course pages from external hyper linked
pages. Hence, all course pages should possess a common look.
• Learners prefer to scroll through a page, as opposed to using internal links to
navigate. However, a link between the top of the page and the bottom of the page
is appreciated.
• Learners want a direct indication of what is new on a page or site as soon as
possible
Measuring Learner Achievement
The goal of any learning activity is for learning to take place. A common way to
measure the effectiveness of instruction is to measure learner achievement. Measuring
learner achievement in e-learning environments requires special attention. Chute,
Thompson, Hancock (1999) relayed that the strategies and procedures used to assess the
traditional trainee needs to be modified to fit the distance learning environment. In a
study of asynchronous distance learning, Neal and Ingram (1999) also indicated that there
are special issues related to obtaining online feedback.
A key aspect of some e-learning applications, such as CD-ROM and web-based
applications, is that it allows for personalized instruction. Instructors can be informed
about different learners’ instructional objectives (Brogan, 2000). Learner achievement
may be based on different learning objectives. For example one learner’s objective may
be to learn in order to pass a test, while another is simply trying to refresh basic memory,
yet another learner may want to learn how to do a new task on the job. The type of
objective must be considered when developing measurement and assessment approaches.
Hudspeth (1997) suggested that “data to judge learner progress can be derived
from responses to: direct questions, directions to demonstrate, integrate, or otherwise
show learning; project outcomes; and a variety of guided opportunities.” Hence,
traditional methods for measuring learner achievement can be applied to e-learning
courses with some forethought and modification. Quizzes, exams, team and individual
projects, as well as written assignments, can all be used in e-learning courses. When
measuring learner achievement, Paloff and Pratt (1999) suggested considering the
following questions:
• What was most useful to me in my learning process? What was least useful?
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• Did I achieve my learning objectives in this course? If yes, what did I achieve? If
no, what got in the way of achieving those objectives?
• What did learn about my own learning process by taking this course?
• How did I change as a learner through my involvement with this course?
• Do I feel that what I learned in and through this course will have application in
other areas of my life? If so, where will I apply this knowledge?
• How well did I participate in this course? Am I satisfied with my level and quality
of participation?
• Did I see myself as an active member in the group? Did I contribute adequately to
collaborative assignments? How would I evaluate my performance in this class
overall?
The use of electronic mediums can even make grading of tests and quizzes easier
because scores can be tabulated immediately following the completion of a quiz or test,
providing quick and accurate feedback to learners. Hudspeth (1997) related that this is
especially true when determining if enabling skills, such as vocabulary recall, key term
definitions, or association of important elements, have been mastered.
KPMG used a pre and post-test design to assess learner achievement in an e-
commerce course that it delivered to eight thousand of its consultants around the world.
The course was 100 Internet-based allowing learners to work whenever they had time.
The course allowed learners to pick up where they left off. The pre-test was used to
determine current knowledge and provide access to white papers, articles and other
support material. All consultants who participated in the course were required to
successfully complete the online post-test. Tracking tools allowed managers to follow
progress and success.
The Center for Disease Control evaluated learner achievement in its distance
learning courses with a traditional type final exam designed to measure mastery of
instruction. Additional information on learner’ achievement is obtained by allowing
participants to develop action plans describing how to transfer what they have learned to
the job (Segal, 1994).
Palloff and Pratt (1999) suggested several ways to measure student achievement.
First, they asked learners to submit a self-evaluation as part of the completion of the
course. This type of self-evaluation should asks learners if they feel that they have met
their own learning goals for the course and how they feel they have performed. Second,
in a large course that has been divided into groups or teams, the group maybe asked to
appoint a leader who can assign grades based on member contribution to team projects.
The group itself can also report a group grade or assessment on assignments that require
collaboration. Lastly, they suggested referring to guidelines set at the beginning of the
course to determine the relative weight placed on respective course components. For
instance, in a course that relies heavily on discussion, the quality of and quantity of posts
become evaluative elements. Porter (1997) heightened that at the conclusion of a learning
activity, learners should be made to do something – write an e-mail, discuss the
information, complete an assignment or participate in a simulation to respond to or
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summarize what they have learned. For example, if taking a first aid course, the learner
might learn from reading about procedures and viewing graphic examples. A more
effective way to measure learner achievement is by reinforcing desired activities or
learning. E-learning courses, then, should be designed to illustrate the probable results of
a learner’s decision.
When analyzing or developing an e-learning course, Hall (2000) contended that
evaluation and record keeping are important for ongoing assessment. He pointed out that
in a quality course, mastery of each course section is required prior to moving onto the
next section. He also stated that quizzes and final exams are used to assess learner
achievement in quality programs. Finally, automatic recording of learner data, and
tracking of time taken to complete courses are also checkmarks of quality courses.
Cost Effectiveness of E-learning
In today’s fast paced business environment, the management of learning resources
is key to organization success. Organizations view learning increasingly as a competitive
advantage rather than just another cost factor (Urdan & Weggen, 2000). The increased
importance of training has lead many organizations to develop methods to measure and
quantify the results and benefits of training programs in a fashion similar to other
organization investments. As a result, training managers are increasingly being charged
with proving the cost effectiveness of training (Phillips, 1997).
One widely known method for evaluating training programs in general is
Kirkpatrick’s Four Level model. The fourth and highest level of Kirkpatrick’s model is
Results. Measuring results is identified as the most difficult of the four levels of this
model. When evaluating at this level Kirkpatrick suggest the use of a cost-to-benefit ratio
to measure training results.
Cost-to-benefit ratio (CBR) and return on investment (ROI) are two financial
tools commonly used to determine the cost effectiveness of a training program (Phillips,
1994). CBR and ROI are traditional financial analysis tools used to make decisions about
the effectiveness of different types of organizational investments. Parsons (1995)
suggested that the application of financial analysis tools to training programs has three
benefits: 1) they help HRD practitioners look at training programs through the customers’
eyes, 2) they guide practitioners in talking with other stakeholders about training
programs, and 3) they provide a rational way to help make decisions.
The cost-to-benefit ratio is simply the program’s benefits divided by costs. The
formula is as follows:
CBR = Program benefits
Program costs
This formula utilizes the total benefits and costs. To calculate program benefits, data
associated with business results from the training program must be converted to monetary
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values. Converting data is a critical part of calculating CBR. Phillips (1997) identified ten
strategies to convert data to monetary values depending on the type of data and the
particular situation. The strategies are as follows:
• Output data is converted to profit contribution or cost savings.
• Cost of quality is calculated
• Wages and benefits are used as value for time
• Historical costs
• Internal and external experts
• External databases
• Participants estimate
• Participants supervisors provide estimates
• Senior management provides estimates
• HRD staff estimates
Calculating program costs involves monitoring all costs associated with the design,
development, and delivery of the program. Examples of these costs might include facility
rental, course materials, salaries and benefits of employees attending the program, and
administrative costs.
Return on investment uses the net benefits divided by program costs. Net benefits are
the program benefits minus the cost. The formula is as follows:
ROI (%) = Net program benefits X 100
Program costs
The ROI process begins with data collection methods, which are at the center of any
evaluation effort (Phillips, 1994). ROI is based on converting hard and soft data to
monetary values. The seven most common instruments used to collect ROI data are
surveys, questionnaires, interviews, focus groups, tests, observation, and performance
records (Phillips, 1997). According to Phillips (1994;1997) the values for ROI in HRD
are often quite large, ranging from 150 percent to 400 percent signifying the importance
of training programs.
Cost effectiveness of E-learning
One of the largest draws of e-learning is the reported cost savings associated with
delivering training via the Internet, multimedia, satellite or other e-learning methods. E-
learning is heralded by many as an effective means to deliver training and significantly
reduce training costs. According to Chute, Thompson and Hancock (1999) the potential
financial savings associated with e-learning can be significant when compared to
traditional methods of training. Chute et al. added that e-learning can provide a cost-
effective solution to the most demanding training and education needs. Indicating that e-
learning is an acceptable medium to deliver a variety training types.
Cost savings estimates associated with e-learning are typically based on
comparisons with traditional lecture-based instruction. Whalen and Wright (1999)
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communicated that in analyzing the costs of web-based instruction the basis for
comparison is the cost of developing and delivering an equivalent traditional instructor-
lead course. However, in current literature, it is suggested that the use of the Internet to
deliver training is challenging the old paradigms for designing developing, and delivering
instruction. This shift is primarily driven by speculation of cost reduction and flexibility
associated with delivering training over the internet.
Organizations claim to have slashed training budgets by millions as a result of
implementing e-learning strategies. Leading firms such as Motorola, MCI-WorldCom
and Ford are already reaping benefits associated with distributed learning
(Greengard,1999). For example, MCI-WorldCom claimed to have cut its training budget
by 30 to 50 percent by delivering approximately 20 percent of its training on the web.
Web based training has reduced travel, facility and labor costs by approximately $3
million (Greengard, 1999).
Cost savings can result from a number of benefits provided by e-learning. Cost
drivers play an important part in analyzing costs associated with e-learning. Cost drivers
need to be analyzed closely when comparing e-learning to traditional classroom
instruction. Savings can be realized from instructor and student travel savings, costs for
dedicated classrooms, time spent traveling and many other factors.
The cost driver most often mentioned as a primary source of cost savings is travel.
Chute, Thompson, and Hancock (1998) highlighted that travel cost displacement and
costs associated with time lost in travel are of the most common factors organizations
quantify when examining cost drivers related to e-learning. Greengard (1999) reported
that organizations, because of the costs associated with transporting employees to training
sites, toss wads of money at the travel industry. He goes on to state that moving
information to people instead of people to information is a better solution to meet training
needs of employees and reduce costs.
While cost savings related to travel are frequently mentioned as the major benefit
of delivering training via technology, it is not the only area where organizations can reap
savings. Chute, et al., Hancock (1998) related that there are a number of ways to evaluate
the cost savings impact of distance learning programs over traditional instruction.
According to Thompson, (2000) to determine the cost effectiveness of distance education
the underlying issues in educational cost analysis and the costs involved in the variables
that influence these costs must be considered. Chute, et al., (1998) indicated that
organizations should structure their cost-effectiveness models by revisiting the business
drivers uncovered in the organizational needs assessment. Thompson (2000) added that
measurements of the cost effectiveness of distributed learning have generally been based
on a couple of key assumptions: comparison to traditional delivery, comparisons among
delivery systems, potential savings due to decreased travel, the ability to extend programs
without hiring more personnel, and the possibility of revenue form higher enrollments.
Walker (1998) used a five level evaluation model to evaluate an Internet training
tutorial delivered to employees of The Texas Natural Resource Conservation
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Commission. Levels one through four were based on Kirkpatrick’s four level evaluation
model. The fifth level focused exclusively on return on investment of the training.
To evaluate the cost effectiveness of the training, Walker used variables similar to
those mentioned by Thompson (2000). Three variables were used to evaluate at
Kirkpatrick’s fourth level, organizational improvement: travel savings; expected
participant times savings; and course development and administration time cost savings.
Variables used for measuring ROI, Walkers fifth level, were more specific than
those used at the fourth level. These variables were used to calculate ROI by dividing the
benefit cost and the net benefit cost of the program by actual training costs. The resulting
benefit/cost ratio (benefit/cost) was 3.75 to 1 while the ROI (Net Benefits/cost equaled)
was 275%. Training benefits included in the calculation were travel cost saved; estimated
participant tie savings over a one-month period; room use cost saved; facilitation
expenses & materials cost saved; and development & contracting cost saved. Training
cost included in the calculation were development and presentation; participants’
computers amortized; facilitators computers amortized; Internet connection total; and
participants’ time converted to dollars.
When evaluating costs associated with e-learning, the cost drivers are different
than those associated with traditional classroom based instruction. Frank (1998)
developed a simulation model identifying and comparing these key cost variables for
both types of instruction.
Jointly sponsored by the California State University, the National Learning
Infrastructure Initiative of EDUCAUSE, and the State Higher Education Executive
Officers, the project is entitled BRIDGE. The project resulted in a computer software
simulation model that compares the projected operating and capital costs of expanding a
college campus using distributed instruction versus the cost of expanding using
traditional lecture instruction over a given period of time. Cost projections are based on
the values of approximately 100 cost drivers.
Categorical parameters of cost drivers include: final enrollment distribution,
course sharing & enrollment, broadcast course specifications, asynchronous network
specifications, broadcast course costs – operating & capital, asynchronous network
course costs – production & maintenance, asynchronous network course costs – computer
related & capital, student support costs, budget expenditures, capital expenses, and
campus growth. Each of these parameters has a set of more specific parameters under the
respective menus.
In another study of cost-benefit analysis, Whalen and Wright, (1999)
hypothesized that there are several key design elements that need to be identified as costs
in the majority of Web-based training projects. They divided costs into fixed capital cost
and variable capital costs.
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Capital costs included the server platform shared by all courses on the server and
the cost of content development. The authors considered the following costs in relation to
content development: instructional and multimedia design; the production of text, audio,
video, graphics, and photographs; the development of authoring and delivery software, or
the cost of licensing commercial software; the integration, modification, and testing of
course content; student and instructor training; and course testing. Operational costs were
identified as costs related to the time students and instructors spent using the course.
To verify the above-mentioned cost methodology, the authors applied their
methodology to courses delivered at the Bell Online Institute. The results revealed that all
of the costing elements used in their method were all important.
Overall, the literature reviewed showed that significant financial savings are
associated with the use of technology-based instruction when compared to traditional
instruction. However, cost savings, alone, is not a good measure of effective training.
Organizations must consider the learning that actually transpires as a result of training
delivered. “…evaluation of cost-effectiveness should not focus on costs alone, but rather
on costs in relation to educational value” (Thompson, 2000).
Selected E-learning Comparison Studies
The popularity of e-learning interventions is growing exponentially. To remain
competitive in today’s tight labor market, organizations are exploiting advances in
technology to train employees more rapidly, more effectively, and at less expense than
the past (Urdan and Weggen, 2000). The debate over the effectiveness of e-learning has
gotten a lot of attention lately. Trainers, educators, researchers, and authors have
discussed the significance of moving instruction to the web (Goodwin, 2000). However,
the recent popularity of e-learning has not come without scrutiny. E-learning delivery
methodologies can require a paradigm shift in the way that training is viewed and
delivered.
This paradigm shift required trainers and educators to rethink how to best train
and educate employees and students. A change of this magnitude is not easily
accomplished without a compelling argument to do so. According to Chute, Thompson,
and Hancock (1999), the first step in starting an e-learning program is usually to
understand and convince others of the advantages of the delivery method. Since
supporters of e-learning often promote its cost effectiveness and increased access as
primary advantages, many question if it compromises educational effectiveness to get
these benefits (Chute, Thompson, and Hancock,1999).
One of the most common ways to measure the effectiveness of e-learning is to
compare it to traditional instructor-lead education and training. For many years educators
and other experts have studied different forms of distance learning and teaching in order
to identify if there are any significant differences when compared to traditional education
and training. Chute, Thompson, and Hancock, 1999 related, “After looking first at
correspondence, audio conferencing, videoconferencing, and computer conferencing,
35
these researchers have overwhelmingly reported that there is no significant difference in
the achievement of students in well designed distance learning programs, based on
standard performance measures”.
This portion of the paper will present studies that compare e-learning programs to
traditional instructor-lead classroom education. Studies will be grouped into three content
areas, learner achievement, learner satisfaction, and cost effectiveness.
Learner Achievement Studies
A primary goal of providing training and education is to bridge the gap between
current and desired knowledge, skills, and attitudes (KSA’s). In order to measure if
desired KSA’s have been attained, learner achievement needs to be measured. A number
of studies have compared learner achievement in courses delivered via e-learning and
courses delivered in traditional face-to-face classroom instruction.
In a study of learner achievement at California State University, Schutte (1996)
examined the effects of face-to-face vs. virtual professor-learner interaction, on the test
performance of students. The study used a pre and post-test to obtain data. The Pre-test
questionnaire focused on basic demographics and experience with computers, math, and
statistics. The post-test assessment consisted of learner scores on midterm and final
exams and information from the post-test questionnaire.
On the first day of class, learners were randomly assigned to the face-to-face
course or the virtual course. Comparisons were made between these two groups in sex,
age, ethnicity, years in school, grade point average, and computer familiarity. Students in
both courses took the exact same midterm and final exams.
Results revealed that there was no significant difference in any of the
demographic or experimental variables. However, there were significant differences on
the midterm and final exam. The virtual learners scored an average of 20 points higher on
the 100 point midterm and final exams. Data also indicated that virtual learners
communicated more frequently with other learners than did face-to-face learners.
Because of this, the researcher concluded that it is important that designers of virtual
courses pay close attention to the issue of real time collaboration.
Payne and Payne (1998) discussed the analysis of learner achievement in distance
learning courses delivered by the Federal Aviation Administration (FAA). The FAA,
upon implementing new Interactive Video Teletraining courses, decided to analyze
training effectiveness by comparing the new courses to traditional resident-based
instruction. IVT is a one-way video two-way audio training system.
The major impetus of the FAA’s effort was to identify if the quality of the IVT
courses was equivalent, in learner achievement, to its traditional resident-based training.
To measure learning quality, the FAA compared the learning results of the IVT courses
with resident-based courses. When comparisons were not possible because an IVT course
was all new, pre to post-tests were compared to measure learning.
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The first course comparison was conducted with a Cockpit Inspection course. The
resident course was thirty-six hours long while the IVT course was only twenty-four
hours long. The mean test score for the resident-based course was a bit higher than the
IVT course, but not statistically significant. The second comparison used pre-test and
post-test results to determine learner achievement. The training consisted of four separate
modules from a series titled, Staff Work. The modules were problem solving strategies,
gathering and organizing information, presenting information to others and
communicating with others. Each module averaged about 100 learners. The mean pre-test
scores for the modules were 59.5 percent. The mean post-test score was 70.0. The gain
was statistically significant at the p< .05 level. However, the gain was not as significant
as expected. The cause of the less than expected gain was attributed to a mistake in
enrollment. The course was designed for staff level employees but the course manager
did not restrict enrollment. Hence, many of the students in the courses were not the
intended audience.
A third comparison test was conducted with an Alcohol Testing course. This
comparison also used pre-test and post-test design. Again because this was a new course
there was no resident-based course for comparison. The course was six hours long and
broadcast to 591 supervisors and mangers. The mean pre-test score was 55 percent while
the mean post-test score was 80 percent. This represented a significant gain at the p< .05
level.
Because none of the above mentioned course evaluations included pre-test and
post-test analysis of both an IVT and a resident-based course an additional course was
selected for this type of evaluation. The course selected was a Quality Assurance course.
Two resident-based courses totaling 31 students were used as the control group. The
resident version was sixty hours long while the IVT was forty-six hours long. Students in
the resident course scored slightly higher on the pre-test than students in the IVT course.
The difference was not significant. However, on the post-test, IVT students scored
slightly higher than did the resident-based class. Once again the difference in scores was
not significant.
The results of the above mentioned evaluations convinced FAA management that
IVT training was as effective as resident-based courses. They believed that the learners in
the IVT courses learned as much as they did in traditional courses.
The military has also conducted comparison studies of distance learning and
traditional training. Wisher and Priest (1998) reported on an analysis of learner
achievement of an audio teletraining in the U.S. Army National Guard. Audio teletraining
is described as simply a high quality conference call that allows learners at multiple
locations to hear and speak to one another through a special switchboard called a bridge.
The system uses standard telephone lines.
In this study the researchers evaluated a Unit Clerk course. The training provided
basic knowledge regarding the recording, updating, and maintaining personnel records.
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Participants are trained on forty-seven different tasks. The course is traditionally
delivered at a Professional Education Center over a period of three-weeks. The distance
learning version of the course was delivered using the same time frame. Participants
consisted of 225 Army National Guard trainees. One hundred and seven (107) students
were placed in the resident classroom while 118 were placed in the audio teletraining
course. Control and experimental groups were not randomly selected. Placement was
based solely on when the trainee enrolled.
Both courses used all of the same workbooks and job aids. Achievement tests
were also identical. The diagnostic pre-test, administered prior to the start of each course
indicated that there was no significant difference between the teletraining and resident
based groups. Learner achievement was measured by analyzing test scores after the
training. These tests covered sixteen critical tasks associated with Unit Clerk
responsibilities. Results from these tests revealed that the teletraining group scored
significantly higher than the resident group at the p<.001 level. The mean pass rate for
the telelearning group was 93.58% as compared to 85.88% for the resident group.
Researchers concluded that superior learning performance was exhibited by the audio
teletraining group.
Learner Satisfaction Studies
“Perhaps the most immediate and obvious measure of program effectiveness
focuses on the quality of the individual learning experience” (Chute, Thompson, and
Hancock, 1999). Learner satisfaction has implications for all facets of e-learning, design,
development, and delivery. As learning via technology is becoming more and more
popular, especially training via the World Wide Web, the expectations and experiences of
the learner need to be cataloged and analyzed. A number of researchers have examined
the level of learner satisfaction with e-learning courses.
A study of learner satisfaction at the University of San Paulo in Brazil revealed
that students preferred taking a physics course via the web to taking the same course in a
traditional classroom setting. A unique component of the course was the use of mentors
to assist students in completing the course. Questionnaires consisted of open and close-
ended items. Open-ended items focused on topics such as student preferences and
comparison of the distance course to the traditional course. Closed-ended items focused
on use of technology, technical support, and student interaction. Results revealed that
students had a high level of satisfaction with the use of technology, course content, and
instructor and mentor support (Magalhaes and Schiel, 1999). All of these things,
combined, suggested that when packaged carefully, and with the student in mind,
distance learning courses can be preferred to that of traditional instruction.
Gillham, Buckner, and Butt (1998) conducted a user-centered evaluation of Web-
supported learning at Queen Margaret University College in Edinburgh, UK. The purpose
of the study was to obtain information about a Web site that provided support material for
a traditionally taught course and to ascertain learners’ perceptions of the site. The Web
site studied was for a course in a Communication Studies program. The users of the site
were not in a technology class and were not generally found to be technology enthusiasts.
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The content of the site replicated material provided to students prior to the availability of
the Web. The researchers elicited information about the following:
• Access and use of a supported Web site
• Evaluation of key criteria
• General views about Web-based education
• Use of other computers facilities and feelings about computing
Data were collected using a questionnaire with mostly closed items. Results revealed
that the site was highly successful in introducing students to Web-based instructional
material. All respondents indicated that they would like similar sites available for other
courses. However, students were markedly conservative towards moving away from
traditional forms of tutor contact. The researchers suggested that this may be a result of
the popularity of the course tutor and the tutor’s lecture style, which usually included film
extracts to illustrate points. This suggested that, while students may be accepting of Web
support material, they may not be as satisfied with replacing a good instructor with
technology-based instruction.
Jewett (1998) studied learner satisfaction at the Education Network of Maine (ENM).
In this study the ENM was a participant in the Flashlight Project, which is managed by
Western Interstate Commission of Higher Education. The goal of the Flashlight Project is
to evaluate the use of mediated instructional technologies in higher education. Using a
special Flashlight Project Item Bank, the researchers created a survey to obtain
information related to student satisfaction with courses delivered by the ENM using
interactive television. Twenty three (23) courses were selected for the study, each have
four different audience locations. They are: broadcast (or sending) site, community sites,
University Center sites, and individual student homes. A total of 1886 students were
surveyed.
T-tests were used to determine if there were significant differences between receive
site (off-site) learners and broadcast site learners in regards to satisfaction with the
course. Results revealed no significant differences between learners in the classroom with
the professor (broadcast site) and learners at receive sites.
However, receive site students were more satisfied with the course than broadcast site
students. Learners at the receive sites felt more strongly than those in the broadcast
(sending) classroom because the delivery quality was adequate to allow them to learn the
course content. Learners at receive sites indicated that they would take another course
delivered in this format and would recommend the format to other students. The
implication of study, according to the authors, is that students were neutral between a live
person teaching and a watching.
Cost Effectiveness Studies
Cost effectiveness is one of the major benefits of e-learning courses.
Organizations and institutions are interested in getting as much as possible out of
education and training dollars. Cost savings of e-learning over traditional training
instructor-lead face-to-face instruction are well documented (Karon, 2000). Experts
39
suggested that e-learning on the average costs about half as much as traditional face-to-
face classroom training. A number of researcher, authors, and practitioners have
compared the cost effectiveness of courses delivered via e-learning and courses delivered
in traditional face-to-face classroom instruction.
An analysis of e-learning courses at Price Waterhouse found that compared to
traditional classroom instruction, a multimedia based e-learning course reduced by 50
percent the time required for learners to attain the same level of knowledge. A return-on-
investment analysis of the same course over a five year period revealed that the total cost
of development and delivery was $106 as opposed to $760 per learner for traditional
face-to-face instructor-led training version of the course (Hall, 2000).
Payne and Payne (1998) discussed the use of distance learning to reduce training
costs in the Federal Aviation Administration (FAA). Due to government budget cuts the
Federal Aviation Administration (FAA) had to cut cost in its training budget. The
problem the FAA faced was how to reduce the overall cost of providing training while
increasing training opportunities for employees. To meet the required budget cuts in
training the FAA determined that it would convert 40 percent of its resident-based
training for delivery by using some form of distance education technology to reduce
overall training costs.
The organizations plan was to convert 8 percent of its existing resident-based
training for delivery by print-based technology or correspondence training, 16 percent of
its resident-based training by computer based multimedia, and 16 percent of its resident-
based training for delivery by compressed digital satellite called Interactive Teletraining
(IVT). IVT is a one-way video two-way audio training system.
The FAA already had some correspondence and multimedia computer-based
course offerings. Hence it needed to develop an IVT program to reduce the agency’s
dependency on centralized training locations. Upon completion of development of the
IVT courses the FAA conducted analysis to measure cost effectiveness. Benefit-to-cost
ratios of the IVT courses ranged from 2.19:1 to over 11:1, depending on the number of
courses converted, the cost of conversion, and the rate of course compression. The result
was significant savings when compared to traditional resident-based training. The savings
allowed the FAA to meet its education and training needs at reduced cost.
Wisher and Priest (1998) conducted a study of cost effectiveness in a telelearning
course in the U.S. Army National Guard. The study compared the costs of a traditional
three-week Military Unit Clerk course to the identical course delivered via telelearning.
The researchers described teletraining as a high quality conference call that allows
learners at multiple locations to hear and speak to one another with standard telephone
lines and a special switchboard called a bridge.
Differences in the residential and telelearning courses were computed on a per
student basis and based on yearly training loads, projected annually. Fixed costs were
assumed to be same for both courses. These cost were:
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• Salary for students – The average student in the course was at the E-5 pay grade.
• Instructors – the same four instructors taught both classes.
• Course material – Cost for preparation and production of course material was the
same as both courses used the same materials.
Variable costs between the groups were:
• Distribution of material – There was an overnight delivery shipping charge
associated with distributing material to telelearning students.
• Audio Bridge – there was a $.04 per minute per site charge for using the audio
bridge. For 15 days of training, this equals $198 per site, based on ten sites and 59
students per class. This calculated to an average of $33.56 per student.
• Travel – For students in the resident course, the average travel cost was lodging
$342 (18 days at $19 per day), airfare: $700, and meals $92.87 (18.5 days at $5.02
per day). Total per student travel costs equaled $1,134.87. For students in the
telelearning course, the average travel expense was $18. Most telelearning
students only had to travel to the locations within commuting distances.
• Equipment – The telelearning classrooms required a high quality conferencing
system that cost $500 per site. Because the conferencing system had other uses,
such as regular conference calls, an assumed capital expenditure of $250 was
made.
• Test monitor – Remote sites required the use of a test monitor to conduct audio
checks prior to class, take attendance, and serve as a test monitor. This cost was
$184 per site.
In the end the audio telelearning course cost $90.57 per student while the resident-
based course cost $1,134.87 per student for a difference of $1044.30. Delivering the Unit
Clerk course lead to significant savings. The estimated cost savings on an annual basis
were $292,000. After analyzing the above mentioned costs and the success rate of
students, researchers concluded that cost savings can result from using low cost
technology when significant travel is involved in training delivery.
Hall (2000) discussed three case studies that highlighted the cost advantages of e-
learning compared to traditional instruction. The first case study, as mentioned before,
was at Price Waterhouse, where they conducted a return on investment analysis for a
multimedia training program. The total cost for development and delivery over five years
was examined. The cost per learner for the multimedia-based program was $106 –
compared to $760 per learner in the traditional course. Another cost benefit of this case
study was that it took learners 50 percent less time to complete the course when
compared to the traditional course. This is significant when considering opportunity costs
of workers.
The second case study discussed technology applications training at Intel
Corporation. In this case study the training group was able to embed the technology-
based training into the applications themselves. This concept completely eliminated the
41
need for traditional classroom training on the selected applications. In addition to
eliminating the need for traditional instruction, the embedded training also required less
time to complete. Traditional training required 12 hours while the embedded training
required only 2 hours, saving 10 hours of time. As in the previously discussed case, this
time savings is significant when considering related opportunity costs.
The final case study that Hall (2000) discussed involved Storage Technology, a
company that provides large storage hardware for large mainframe computers. The
Storage Technology provides extensive training to field technicians. Traditionally, field
technician training is provided in a lecture and lab format at one location in Colorado.
Training length varied from four to ten days. The training was converted to a format in
which the technicians received computer-based training at their local offices. As a result,
significant cost savings were realized from reduced training time and travel expenses. A
comparison of training development and delivery cost over a three-year period showed
cost for the lecture/lab format at $3,291,327 vs. cost for the technology based format at
1,748,327 for a total saving of $1,543,000.
Global Issues in E-Learning
The world is transforming into a global village with the rapid development of
information and communication technology (Nabil, Awerbuch, Slonim, Wegner, &
Yesha, 1997). This transformation has more and more companies marching toward a
truly global economy; as the CEO of General Electric, Jack Welch stated, “organizations
must either globalize or they die”. Today, almost 50 percent of the economy is based on
exports and imports. U.S. corporations have invested more than $1 trillion abroad and
employed overseas workers (http://www.astd.org). The ability to compete globally is
dependent on the innovation, the skill and the knowledge of a learning organization and
its people. Globalizing corporate training is crucial to the success of global business
strategies.
When companies move training into a global arena, the biggest challenges are the
worldwide variations in social, cultural, political and economic circumstances (Wellins &
Rioux, 2000). Different languages, education systems, learning/teaching styles,
government regulations, and infrastructures are examples of these variations. To adapt
training to multicultural settings requires a new paradigm that includes an understanding
of the deeper psychology of culture and the unique differences culture brings to a global
workplace (Kemper, 1998).
This section aims to address four global e-learning issues; they are: cultural and,
social differences, and language and technological issues. First, we review culture
definitions and dimensions of cultural variation. Individualism and collectivism, will be
used as a framework to discuss cultural differences. Interaction and communication
styles, and learning/teaching styles will be used to discuss concrete cultural differences.
Instructional design paradigms will also be reviewed. Second, social issues such as
education, political, and religious differences will be discussed. Third, language and
42
technological issues in global e-learning will be examined. The section concludes with a
summary.
Culture: Individualism and Collectivism
Culture is a complex and broad concept, which can be defined in many ways.
Most people agree culture involves at least three components: what people think, what
they do, and the material products they produce (Boldley, 1994; Roblyer, Dozier-Henry,
& Burnette, 1996). Culture, shared among society members consciously and
unconsciously, shapes value, assumptions, perceptions, and behavior of its members. It
provides systematic guidelines for how people should conduct their thinking, their
actions, their rituals, and their businesses. According to a recent survey conducted by a
Development Dimensions International (DDI), 88 percent of global companies report that
local culture and customs have a “moderate to great” influence on the way they conduct
business in particular locations.
In order to understand the way culture influence e-learning, we must analyze it by
determining dimensions of cultural variation. One of the most promising dimensions is
individualism-collectivism (Triandis, 1987; Triandis, Bontempo, & Villareal, 1988;
Hofstede, 1980). Based on the differences in the extent to which cooperation,
competition, or individualism (Mead, 1967) is emphasized, this dimension yields two
cultural groups: collectivism and individualism. Countries, such as China, Japan and
Korea represent the collectivism culture, while the United States and European industrial
countries are characterized by individualism (Triandis, 1987; 1990; Georgas, & Berry,
1995; Fishbein, et ac. 1992; Fiske, 1992; Stigler, Shweder, Herdt, 1990).
An interesting illustration of the differences between collectivism and
individualism is to look at the way books and documents are recorded in some of these
countries (Wang, 2000). China is a typical collectivist culture. Traditional Chinese books
and documents are written from top to bottom, column by column. Chinese (used to) read
from top to bottom, then from the right column to the left column. Their heads move up
and down, "nodding" repeatedly, symbolizing their affirmation of their ancestors and of
authority. By contrast, Western culture is recorded from left to right, line by line. When
Americans read, they swing heads from side to side, challenging and saying "No" to their
ancestors and to authority. Although this characterization of Asian and western cultural
differences is little dramatic, it vividly illustrates the different attitudes toward tradition in
these two different cultures.
The essential attributes of collectivist cultures are interdependence, group
identity, self-restraint, and hierarchical control (Triandis, 1990; 1992; 1995). Individual
matters are usually subordinated to the goals and benefits of a collective, such as the
family, the tribe, the nation etc. The harmonious relationships and the inseparable
"whole" of nature and human beings are highly valued. The pursuit of such harmony in
family and social relationships becomes the basic rule of life. Hierarchical control is the
fundamental means of creating such harmonious relationships: each person is fixed into a
certain social order. Respect for ancestors, tradition, authority, parents, and elders are a
core social value. Individualism, in contrast, highly values individuality and freedom.
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The belief in human rights, freedom, and individual equality underline Western social
philosophy. These basic cultural characteristics strongly shape the social systems,
lifestyles, and values of each society.
Culture is constantly evolving; however, cultural elements change slowly
(Triandis et al., 1988). With the new openness to the world, contemporary Asian
countries are developing quickly as a market economy and the value system and lifestyles
are becoming Westernized. As a result the culture is becoming complex, the collectivist
characteristics, however, remain. The United States as an individualistic country, on the
other hand, is moving in the opposite direction, there is a new tendency to place greater
value on family and on cultural identity.
Individualism and collectivism provide us with a framework to discuss and
analyze cultural differences nonjudgementally. Next, cultural differences related to global
e-learning are reviewed.
Learning and Teaching Styles
According to the DDI survey, 85 percent of global companies are trying to
establish a corporate culture in all locations that is consistent with the goals and vision of
the company. Similarly, they expect to institute a consistent training program across all
international locations. For this to happen, though, the local culture and customs need
adherence. Local culture and customs can influence planning, design and
implementation of this training. Keeping consistent with training process and content
while being responsive to local cultural is important in designing global training program
(Damarin, 1998; Collis & Parisi, & Ligorio, 1996; DeVoogd, 1998).
One important fact that needs consideration is the differences in learning and
teaching styles. As we mentioned before, hierarchy is a foundation of social order and
essential to collectivist cultures, while individualism is highly valued in individualistic
culture. As a result, instructor-centered teaching and style is more acceptable in a
collectivist culture, and learner-centered style is more natural in an individualistic
society.
The role of instructors and students are also different in collectivist and
individualistic cultures. As a result of hierarchy, the instructor is viewed as authority in
collectivistic society. On the other hand, individualistic cultures treat people equally.
Thus, the different expectation and perception of role of teacher and students may cause
discomfort in the classroom. These are also reflected in the class participation. In some
countries, e.g. Japan, student volunteering their responses would be considered bragging.
It is also true the students are reluctant to ask questions in front of a group (Kemper,
1998).
Being humorous is also sensitive (Korpela, 1996; Lipman, 1991; McLellan,
1997). In some cultures, being humorous may be perceived as irresponsible. In the
Japanese culture, if a trainer’s behavior and activities lack form, trainees may view the
trainer as irresponsible. For example, the entertaining instructional style often used in the
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United States might not find a receptive audience in Japan, where such an approach isn’t
considered credible. Development Dimensions International has found that learners in
different countries can react differently to such classroom techniques as feedback and
role plays. It can also take longer to run workshops in certain countries due to differing
learning styles and needs (Wellins & Rioux 2000).
Interaction and Communication
There are substantial cross-cultural differences in interaction and communication
beyond the actual words being said. Any social group or organizational setting develops
its own culture, with norms and expectations relating to aspects such as the degree of
formality and centrality in communication patterns (Woolliams & Gee, 1992). Thus, a
communication/interaction style appropriate in one country may be totally inappropriate
in another country.
In a training setting, the differences in communication styles can seen in the
following examples, such as who should initiate comments or questions; who should
moderate; the extent to which disagreement or debate is expected; who should decide to
determinate a line of communication; and the level of formality considered appropriate in
interaction between instructors and students.
Originating from the respect for authority and harmony, Asian people generally
prefer formality and indirectness in requesting and criticizing, especially when the
authority in presence (Ho, 1994; Hatano & Inagaki, 1992). The pattern can be found in
some small things such as, addressing people by family name with title, to general
communication patterns. Not being aware of these, westerns may feel confused and
uncomfortable when communicating. On another hand, the westerns are used to
informality, directness, and less central communication patterns. If a western trainer
brings this type of interaction into Asian countries, he/she may be perceived as rude and
disrespectful of trainees. It is very important to acknowledge the differences in
communication and interaction styles and adapt them where necessary.
Instructional Design Paradigm Addressing Cultural Differences
Some researchers have identified three different instructional design paradigms in
addressing the cultural differences. These instructional design paradigms reflect
particular world views and consist of different pedagogies. They identify inclusions and
exclusions, and originate in a particular cultural and societal context (McLoughlin, 1999;
Henderson, 1993; 1996). Analysis of these paradigms provides some guidelines on
designing instruction for a global audience.
Unidimensional paradigm does not consider instructional design for global
training. This paradigm denies cultural diversity and assumes that educational and
training experiences are the same for trainees from different cultures. This approach is
strongly driven by the need to establish a consistent training program that is aligned with
the parent company. This approach always gets opposite results. Case studies and
documented practice prove the limitation of this approach (McCain, 1999; Wagner,
1999).In contrast to the unidimensional paradigm, the inclusive paradigm takes in the
45
norms and perspective of the other culture without connecting to the home culture. This
is a superficial way of including other cultures. This approach usually results in
ineffective cross-cultural training.
To achieve true sensitivity to cultural differences, the training program should
take a multicultural approach; be aware of and respect the deep structures of different
cultures (Roblyer, Dozier-Henry, & Burnette, 1996). The home culture should serve as a
base and filter for what trainees from outside world want and need. It is important to
know how other cultures view your home culture. In this way, instructional designers and
trainers can gain insights into their hosts’ preparation for understanding and working with
them (Chee, 1996; Boriarsky, 1995; Reeve, 1997). Essentially, this approach is a form of
eclectic paradigm (Henderson, 1996), which entails designing learning resources that
allow variability and flexibility while enabling students to learn through interaction with
materials that reflect multiple cultural values and perspectives. These materials and
resources also represent multiple ways of learning and teaching, and promote equity of
learning outcomes by combining home culture and other cultures’ interests.
Social Issues in Global E-Learning
In addition to the cultural issues, some social issues are also closely related to
global e-learning. Here, the educational systems, political, and religious issues will be
examined.
Differences in Educational Systems. Many countries have different educational
systems. Some countries have shorter compulsory education years, while some countries
offer more college education opportunities than others. The different educational systems
offer companies a different pool of work force to choose from. In most developing
countries, young people have fewer chances of receiving a college education, giving
global companies a small pool of potential employees (Moore, 1994). As a consequence,
a small employee market causes companies to compete for their workforce.
Different educational systems may also cause confusion on degrees. Degrees can
have different qualifications in different countries (Moore, 1994; Mason, 1998). For
example, in China, colleges only accept a small portion of high school graduates; thus,
graduates have higher social/economic value than their counterparts in the United States,
who have wide accessibility to colleges. Thus, some American companies have to offer
positions that are normally offered to Master/PhD. degree holders in the U.S. to people
with a lower college degree in China. When the training is designed for these Chinese
employees, the instructional designers and trainers cannot assume that they have the same
knowledge base as their counterparts in the U.S. Finally, different educational practices
prepares employees for different pedagogies, different learning styles, and also gives
them different perception of learning and teaching, and of the role of teacher and student.
These differences have been examined in the previous sections.
Thus, it is not surprising that some training consultants (Hoffman, 1998; Kemper,
1998) suggest that trainers spend time visiting and observing classes in the local schools,
and spend time with the students and teachers from the elementary level to the university
46
level, if possible. This will help trainers understand the home country’s educational
system better, which in turn could help them to facilitate relevant, meaningful and
authentic training.
Religious and Political Issues. Religion and politics both are sensitive issues that
trainers and instructional designers who adapt global e-learning, should be mindful of. In
Asia, religion, history, economics, class systems, and politics have a deep impact on how
life and work issues are perceived and programmed (Farmer, 1997). If the trainers are not
careful with these issues in the training site, it will cause a great deal of discomfort. For
example, an American trainer’s careless talk about unification of China and Taiwan in a
class where both Taiwanese and Mainland Chinese attended, caused a complete silence in
the class (Kemper, 1998). Thus, paying respect to religious and political difference in
host countries is very important.
Language Issues in Global E-Learning. Language is a critical issue in global e-
learning. Language is a cultural tool, as well as culture itself. Language includes not only
its most obvious meaning, but also the usage variations within a language that set one
group apart from another. Such variations related to level and choice of vocabulary, and
also to more subtle variations in tone and style of language use (Aston & Dolden, 1994).
Even nonverbal language such as gesture, body language, and facial expression, is also
important especially in Asian cultures. It is best to pay close attention to the subtle
messages of body language, facial expressions, and what isn’t being said and what’s
going on in the room (Poster, 1990; Pritchard, 1995).
In the global e-learning arena, English is the dominant language as is in the global
e-commerce (Mason, 1998). This makes it hard to adapt training in non-English speaking
countries. The obvious challenge is how to turn English-language training materials into
culturally sensitive, intellectually stimulating, knowledge- and skill-transferring materials
in a different language (Collins & Remmers, 1996). It is also difficult for trainees to
communicate and participate in a second language, this case, English. Some studies
suggest that trainees should be allowed to use their native language to discuss among
themselves, while trainers should also try to the native language or seek an interpreter’s
help.
Some studies distinguished technical language from culturally sensitive language
in global training (Volgman, 1997). One of the challenges is the clarification of the
technical terminology. It requires careful translation at the onset of any work focused on
rallying groups around key words or concepts. On the other hand, culturally sensitive
language is more difficult to deal with. For example, humor belongs to culturally
sensitive language. It often doesn’t translate. So, trainers should be careful especially
when using anything other than the audience’s native language, be careful, speak slowly
and avoid large words and jargon (Kemper, 1998).
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Technological Issues in Global E-Learning
Technology has a cultural dimension not as neutral as many people believe
(Pernici & Casati, 1997). Being aware of cultural differences in technology can help
instructional designers and trainers to design more culturally sensitive training materials.
Examples are used to exemplify how different cultures interpret and react to the common
web interface/technology design.
For the most common used communication applications, such as email and text
chat, some culture members have higher expectations to communicate, which may
impose burdens on participants (Boriarsky, 1995; Galdo, 1996). For example, many
Chinese Internet users have higher expectation to communicate than American
counterparts according to a recent Chinese online survey. Thus, Chinese workers will
potentially face more distractions when they go online to receive training.
Hyper linked text is one of extensively studied computer-mediated learning tools
(Ayserman, 1996). Many studies indicated that a hyperlinked environment emphasizing
user choice might not be consistent with a hierarchically oriented culture. Hyperlinking
may also not be optional for persons with certain learning styles or needs, such as field-
dependent persons and those with strong task-orientations. Such characteristics are
partially a function of the individual him or her, but are also influenced by the broader
cultural setting (Sellin & Winters, 1996).
In terms of lecture and information presentation, cultures vary in the amount of
information desired or required. For instance, in a high context culture (Japan), implicit
information is more acceptable than in a low-context culture (Germany) (Hoft, 1996).
When doing collaborative projects, the cultural variations in understanding of task
sharing and context affect the effectiveness of collaboration (Krauss & Fussell, 1991;
Korpela, 1996). Social networks and relationships intervene with the task. Some groups
may have a relationship focus while others have a task goal. As a result, on-line tasks are
perceived differently by different groups (Walls, 1994).
Expectations that the course is fixed or static and that the teacher decides the
essential resources (Hites, 1996) is reflective of hierarchical and authoritative cultures.
This, however, is an unlike expectation in the US. Internal and external learner control is
another concern. In many western cultures, people seek control over their environment,
while in other cultures, individuals try to accommodate the external environment
(Norman, 1993).
Visualization is a good response to overcoming cross-cultural language problems
in training (Collis & Remmers, 1997). However, the design of user interfaces for
international use also requires the cultural sensitivity because it can affect communication
and interaction (Nielsen, 1990). Thus, the interpretability and acceptability of
visualizations, as well as the use of visualization themselves in learning settings, is
subject to considerable cross-cultural variation.
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Global e-learning heightens cultural awareness and transcultural management.
Some of the issues that could underline this awareness and management are: cultural and
social differences, and language issues, and technological issues. In reviewing this and
other related issues, global e-learning trainers and instructional designers can strive to
achieve consistency while allowing flexibility (Ulrich & Black, 1999). In essence, global
e-learning personnel need to be:
• Aware of , respect and manage cultural differences
• Work with social constrains and avoid sensitive issues
• Be aware of and learn the native language(s) or find good interpreters
• Take into consideration technological infrastructure, and the cultural aspects and
implications of a wide range of technologies.
E-learning Industry Trends
For the purposes of this report, we define e-learning ….This section reviews the
current status of e-learning industry trends and the e-learning delivery infrastructure.
First, the status of newly emerging industry standards is discussed. This is followed by a
review of blending traditional classroom based learning and e-learning delivery
techniques. Third, we look at systems that are beginning to be implemented to deliver e-
learning. Fourth, the authoring environment used in developing e-learning content is then
discussed. Fifth, a definition and online learning portals are discussed. Finally, an
overview of training and learning management systems and integrated systems is
presented.
Emerging Industry Standards
“Solutions based on the specifications save customers money and reduce technical
risks as the e-learning market continues to evolve.” (http://www.imsproject.org/) A
current movement in the e-learning industry involves the development and adoption of
learning standards. Vendors, academics, government agencies, and industry consortia are
all collaborating to define ways that will enable learning technology products to inter-
operate. Closed, proprietary solutions may have worked in the past for CD-ROM, but
they are unacceptable for interoperability on the Web. The goal of the learning standards
initiative is to develop open specifications. More developers are eschewing proprietary
hardware and software designs that put systems at greater risk of obsolescence. (Barron,
1999) In the ideal, the result of standardization would be the ability to access all courses
from any vendor directly from your intranet and administer these courses from any one
training management system also from your intranet. Also, there would be compatibility
across product lines. For example, you would be able to buy your management system
from one vender, authoring from another, content from a third, and expect it to all work
together.
The standards began to be developed in their raw form a decade ago by the
Aviation Industry CBT Committee (AICC), an open forum of training professionals that
develops guidelines for interoperable learning technology. The AICC has developed a
Computer-Managed Instruction (CMI) specification that defines the tracking data
49
exchanged between management systems and interactive lessons. It also defines an
interchange format for course structure so that entire courses can be exchanged between
management systems made by different vendors (Conner, 2000).
The EDUCOM Instructional Management Systems Project (IMS) is a coalition of
over 225 educational institutions, training organizations, government agencies, and
vendors defining a comprehensive architecture for online learning. The architecture
encompasses platform independent interfaces for metadata, aggregated content,
management services, user profiles and external services such as databases. The IMS
architecture anticipates the widespread availability of emerging technologies such as
XML and provides an excellent vision for the future of online learning. IMS recently
submitted a metadata specification to the IEEE LTSC for standardization. Notable is the
IMS metadata specification that was unanimously accepted by IMS on June 15. Metadata
associates descriptive information, such as author, title or subject, with content so that it
can be easily located and appropriately used. The IMS Metadata specification benefits
the learner looking for specific information with a meta-data aware search tool both when
the search is of web-based resources and CD-ROM or DVD-ROM encyclopedias.
(http://www.imsproject.org/background.html)
The World Wide Web Consortium (W3C) charts the future course of general
purpose Web technologies such as HTML and XML. While the W3C does not focus on
learning, it does define basic technologies that are assumed by many learning technology
specifications. The Computer Education Management Association (CedMA) is a forum
whose members are education managers from companies manufacturing hardware or
software products. CEdMA provides a forum to discuss training and business issues of
common interest to technology vendors. It is well positioned to accelerate vendor
awareness and adoption of learning technology standards.
The Advanced Distributed Learning (ADL) initiative fosters collaborations
between government, academia and industry to accelerate the advent of effective online
learning. The initiative began in November 1997 under the aegis of the U.S. Department
of Defense and White House Office of Science and Technology Policy. Last June, the
ADL conducted a successful test of its Shareable Courseware Object Reference Model
(SCORM), a reference model that defines a Web-based learning "content model."
SCORM incorporates IMS metadata standards, and, for the first time, allows for content
from different vendors’ learning management systems to be passed to other vendors’
systems without any problems. At the ADL-sponsored Plugfest in June, the ADL, AICC,
IMS, and IEEE groups were able to meet together and discuss a unified e-learning
specification that incorporates the four groups’ work. (Bethoney, 2000) Also at the
event, over 90 organizations pledged support for SCORM specification.
The IEEE Learning Technology Standards Committee (IEEE LTSC) is an open,
accredited standards body tasked to develop "real", de jure learning technology standards.
Consortia such as IMS, ADL, and the AICC increasingly acknowledge the IEEE LTSC
as the single forum for turning specifications into standards. Both the AICC and IMS
initiatives are furthering their goals in the IEEE LTSC. The AICC has submitted its CMI
50
specification and IMS has jointly submitted a metadata specification with the European
ARIADNE Project. The Alliance of Remote Instructional Authoring and Distribution
Networks for Europe (ARIADNE) is a research and technology development (RTD)
project pertaining to the "Telematics for Education and Training" sector of the 4th
Framework Program for R&D of the European Union. The project focused on the
development of tools and methodologies for producing, managing and reusing computer-
based pedagogical elements and telematics supported training curricula. Validation of the
project's concepts is currently taking place in various academic and corporate sites across
Europe.
Since December 1997, ARIADNE has been involved in standardization activities
performed under the auspices of the IEEE LTSC Committee. In this context, ARIADNE
has agreed to collaborate with the US funded Educause IMS Project, in view of reaching
as quickly as possible an Educational Metadata set that would be widely acceptable.
ARIADNE is also active in the standardization activities initiated by the European
Commission, scheduled to take place under the auspices of the CEN/ISSS (European
Committee for Standardization / Information Society Standardization System). Work in
this forum will initially concentrate on the "localization" of the mainly English language
results obtained so far at the IEEE (Richards, 1998).
Learning Objects
One evolution of standardization is the concept of learning content as a chunked
object that is independent of its proprietor. Shared specifications in several coalitions,
such as IMS and ADL, are paving the way toward true interoperability among content,
authoring tools, and learning management platforms (Barron, 2000). These
specifications will then be submitted to the IEEE Learning Technology Standards
Committee, which can then standardize them.
Within the IEEE LTSC, there has been considerable work done on the
development of a Learning Object Metadata standard. Learning Objects are defined
within the IEEE as “any entity, digital or non-digital, which can be used, re-used or
referenced during technology supported learning (computer-based training systems,
interactive learning environments, intelligent computer-aided instruction systems,
distance learning systems, and collaborative learning environments).”
Examples of Learning Objects include multimedia content, instructional content, learning
objectives, instructional software and software tools, and persons, organizations, or
events referenced during technology-supported learning. The Learning Object Metadata
standards will focus on the minimal set of attributes needed to allow these Learning
Objects to be managed, located, and evaluated. Attributes of Learning Objects to be
described include:
• Type of object
• Author
• Owner
• Terms of distribution
• Format
51
Where applicable, Learning Object Metadata “may also include pedagogical
attributes such as; teaching or interaction style, grade level, mastery level, and
prerequisites. The standard will support security, privacy, commerce, and evaluation, but
only to the extent that metadata fields will be provided for specifying descriptive tokens
related to these areas.” We expect these standards will conform to, integrate with, or
reference existing open standards, such. (http://ltsc.ieee.org/wg12/index.html)
Despite the many efforts for industry standardization, there is some skepticism as to
whether or not they will be implemented by technology vendors. One reason many have
been reluctant to begin developing standard-compliant products is because the standards
are not set in stone. Barron (2000) explains that until they feel pressured by competition
to adhere to interoperability standards, developers may not be willing to move away from
their proprietary formats. One possible response to this is that vendors may continue to
develop their proprietary product, but with the option of translating content into standard-
compliant formats. A major incentive to comply with the standards comes through the
government-sponsored ADL initiative. If they make a requirement for standards-
compliant products for all federal agencies, vendors will feel pressured and unable to
resist.
Current Delivery Systems and Technologies
Several options are available to the training manager interested in implementing
an e-learning solution within their organization. Though they might differ in details such
as bandwidth, user interface, and interactivity, the technologies used to deliver e-learning
instruction have begun to converge around common technology standards and the
delivery infrastructure known as the Internet. Approaches to online learning vary from
those that use the Internet as little more than a distribution mechanism for simple text and
graphics content to new technologies that allow live, two-way interactivity over dial-up
connections, to science fiction-like virtual reality simulations (Barron, 1999). This
section provides an examination of these various technology systems.
Text and Graphics (HTML)
Perhaps the most basic delivery method used in e-learning is through static
HTML pages. Brandon Hall (1997) describes this medium as consisting mostly of text-
and-graphics web pages that utilize the basic capabilities of the World Wide Web. These
courses tend to be primarily informational in nature, and represent most of the e-learning
courses that are currently available. One advantage of using intranet-based training and
performance support is that cross-compatibility of the HTML language. All that is
needed to access e-learning courses is a web browser, and it also frees an organization
from being tied to any one supplier's proprietary system.
Text and graphics based courses include many different types, such as courses
that exist purely on email, bulletin board/online discussion forums, and static HTML web
pages that consist of text and graphics. This delivery format is often used as a supplement
to traditional face-to-face instruction (Hall, 1997). While these courses represent the bare
52
minimum in terms of utilizing the capabilities of the web, designing interactivity into text
and graphics courses can augment their instructional effects. One common way in which
this is accomplished is through the use of multimedia.
Multimedia
Multimedia training is a type of computer-based training that uses two or more
media, including text, graphics, animation, audio (sound/music), and video. In practice,
multimedia utilizes as many tools as is practical to produce a colorful, engaging program
delivered via the computer. A typical program allows users to control their progress and
pace through the course so everyone can learn at his/her own speed. Multimedia
languages such as Java and DHTML, and plug-ins for authoring tools such as Shockwave
are becoming increasingly used to deliver e-learning.
However, multimedia is not without its drawbacks. Limited bandwidth presents a
special problem when designing Internet-based education with multimedia. Connection
speeds can be slow and downloads can be long due to factors which trainers often have
little control over. Until bandwidth improves, e-learning developers often need to
exclude most of the "fat media" in their delivery systems, especially video, or create a
hybrid design. Barron (2000) explains that “the visually rich, highly interactive medium
and sophisticated authoring tools of the CD-ROM era have been replaced with the
bandwidth constraints of the Internet and authoring limitations of HTML. The
consequence is that the idealism of multimedia is presently much greater than its
actuality.” However, experts predict that this situation will improve in the future as new
technologies such as greater bandwidth and greater compression rates are developed for
delivering audio and video (Hall, www.brandon-hall.com).
One strategy that has emerged to compensate for multimedia performance issues
are Hybrid CDs, also known as Internet CDs, simultaneously integrates audio and video
content delivered on a CD-ROM with the Internet. This combination results in
“centralized content that is easy to update and distribute [via] the Web… while the CD
makes distribution of high bandwidth content that is static (yet still impractical for
LAN/WAN/Intranet/Internet distribution) feasible.” Combing the advantages of each
seems to be the best solution, and can provide the learner with far more interactivity.
(http://www.caicbt.com/hybridinfo.html)
When discussing interactivity in e-learning, it is important to ensure that
gratuitous use of multimedia does not overshadow the instructional strategy. To be
effective, e-learning needs to step beyond simple interactivity such as “Next” buttons and
move to a more engaging form of interactivity that promotes insight, skill, and the ability
to reapply knowledge in numerous work contexts (Horn 2000). The problem is that
building sound interactivity based on business and instructional analysis is a difficult task
that “can drive budgets way up and deadlines way out--which is the wrong direction in
the face of surging learning demands and shortening development cycles.”(Horn 2000).
One way to help make this manageable is by creating an infrastructure that supports
collaborative learning.
53
Collaborative Technologies
With the hype that e-learning has recently received, organizations may rush to
implement a solution without considering some important instructional components.
Collaborative tools are often one of the tools sorely missed in some e-learning offerings
(Hall, 2000). Collaborative tools facilitate interaction and communication among online
learners (see Empowering Online Learners); empowering learners in the learning process.
Therefore, e-learning programs that omit collaborative tools rob the learner of a well-
rounded learning experience.
Collaborative learning networks may consist of many technologies, such as
bulletin boards, conferencing software (i.e. Microsoft’s NetMeeting), and streaming
media (i.e. RealPlayer). The purpose of these technologies is to create an environment
that fosters the students’ learning through interactivity. In this environment, students are
more apt to consider how the content they are receiving will impact them on the job
(Horn, 2000). In a collaborative paradigm, instructors take on more of a facilitator role
than a lecturer role, often mentoring virtual teams as they work through problems and
questions that relate to the instructional objectives for the course. Horn (2000) has put
together a chart comparing web-based training (WBT) to collaborative learning network:
WBT Collaborative Learning Network
It has the advantage of being anytime,
anyplace for individual learners.
It requires learners to complete
assignments by specific deadlines, rather
than simultaneously.
There's no collaboration among students. Collaboration, voting, and outcomes are
determined solely by students.
SME-centered; authority for learning is not
transferred.
Learner-centered. Learners understand that
it is up to them to learn, not the teacher to
teach.
The instructor (or subject matter expert) is
the center of knowledge and learning.
The learner group connected via the
Internet is the center of knowledge and
learning.
Students are directed by an instructor or
software to answer predetermined
questions.
Learners are empowered by source
knowledge to formulate and answer
questions.
The authority figure is the subject matter
expert and the associated content. Authority transfers from the subject matter
expert to the students.
Content is transmitted to students. A transaction occurs between learners to
determine content relevance and
application.
So far, we have discussed collaborative environments that do not necessarily
require specific time and place logistics. Another component to collaborative learning
environments may include synchronous interaction.
54
Synchronous interaction is an increasingly popular delivery system used in many
e-learning environments today. Hall (2000a) defines synchronous delivery as “an
instructor or team of instructors [who] will present and be connected by audio or video,
while at the same time the student will be online interacting with the online course.” One
of the appealing powers of synchronous interaction is the continuous, real-time sharing of
knowledge and learning on the job (Swider, 2000). Other advantages include the
immediate access to instructors and online mentors to ask questions and receive answers,
similar to traditional learning environments. The disadvantage is that it requires a set date
and time, contradicting the “anytime, anywhere” promise of e-learning (Hall, 2000).
Streamed media can be used to deliver audio to multiple learners at one time.
Collaborative software packages such as Microsoft NetMeeting can enable live,
multi-way interactivity over a dial-up connection where learners can jointly edit
documents and collectively solve problems using a shared ‘whiteboard’ space.
New technologies, called Thin-Clients, are emerging that provide similar functionalities
without the need to install (or download) an application on each user’s computer. This
prevents the training department from having to walk users through a software
installation, rebooting, and troubleshooting before learning even begins, resulting in a
lower cost for implementation (Barron, 2000b). Thin-client technology is fueled by
voice-over-internet-protocol (VOIP), which can deliver two-way audio, or connect
learners to a phone bridge for integrated teleconferencing. One problem preventing mass
adoption of thin-clients is the compatibility issues that emerge as users upgrade their web
browsers to newer versions. The thin-clients often have to be continuously changed to
support compatibility (Barron, 2000b).
Regardless of the technologies used to employ synchronous delivery, it is seen as
an important aspect of e-learning. Anderson et al. (2000), working for IDC as a specialist
group in the synchronous arena, recently highlighted the importance of synchronous
delivery in a report on the future of e-learning; “While traditional brick-and-mortar
classrooms will decline in revenue share for corporate education, growth in technology-
delivered training must be driven by live e-learning solutions.” The authors continue,
“IDC believes that this technology has great potential as a method for effective learning,
especially when it is combined with both traditional instructor-led training and other
delivery mediums".
Blending
The movement to blend classroom approaches with e-learning is growing.
Instructional designers for e-learning courses are finding that blending, or live e-learning,
is often done to enhance the quality of the learning experience. Blending refers to an
online learning course that is held at a specific time. (Hall 2000b) Many components of
blending are synonymous with those discussed earlier in the Collaborative Technologies
section.
Instead of viewing e-learning from a polarized spectrum of either web-based
training or instructor-led training, the various training alternatives now allow for subtler
options. Decisions can be based on the cost of bringing learners together, which parts of
learning are best served by classroom vs. self-instruction, and what is needed to ensure
55
that individuals complete the course. Brandon Hall (1999) asks e-learning designers to
consider the following options along the blending continuum:
• Online pre-test - Assess current skills.
• Online pre-work - Pre-work used to be hit or miss. Half the class wouldn’t bother
with it, and it dragged them down. Now a mastery test can assure completion.
• Live classroom meeting - Tried and true, still the first choice of many learners.
• Self-paced online course - Likely to be the dominant form of instruction in the
future, offering the flexibility of time- and place-independence.
• Online tutors - What happens when you are working online in a course and have a
question? Will anybody ever see your exercises and provide feedback, grading
and encouragement? This is the function of the online tutor, a role established by
DigitalThink.com a couple of years ago. They claim it has helped them reach
more than 85 per cent completion rates for their courses, a vast improvement over
other online courses.
• Online performance support - Continue to provide users with simple, targeted
tools to do their job better, faster, easier
• Online post-test - Easy [Kirkpatrick’s] Level II evaluation.
• Live online session. Need to give a booster session to assure the use of new skills,
but don’t want to bring all the learners together in one physical location? How
about a one-hour live online learning session?
• Discussion forum - The basic threaded discussion may emerge as the single most
useful collaborative tool to link users with each other and with content experts.
A subtle benefit of blending is that it moves away from the “course” mentality
and toward the lifelong learning approach we hear so much about. Beginning and ending
points will be less clear-cut and may go away altogether (Hall, 1999).
Future Delivery Systems and Technologies
DHTML
Many e-learning systems are beginning to employ a Dynamic HTML (DHTML)
scripting in delivery. DHTML is similar to Thin-client technology as discussed earlier in
that it allows for more engaging interactions without the need for browser plug-ins -
provided the browser version is fairly recent. The difference is that DHTML is more
often used for delivering asynchronous content. DHTML can create robust applications
over a standard Internet browser used to deliver technologies such as multimedia, and
even authoring environments for e-learning content (Training & Development, 1999).
XML XML, short for Extensible Markup Language, allows learning content to be
labeled in detail, making it possible to customize e-learning content based on a learner's
needs. This detailed labeling of web page content also allows for more accurate searches.
The technology is on the path to replace HTML as the standard Web authoring language
and is already being used by some e-learning providers as a means of providing on-the-
56
fly customization of content. (Barron, 2000a). Additionally, if authoring-system vendors
and courseware providers were to adopt XML as a standard, the need for third party
browser plug-ins (i.e. Shockwave) would be eliminated (Training and Development,
1999). XML extends the advantages of inter-operability even further by both integrating
content and tracking learner progress across several different providers. Finally, XML’s
richer language allows for more interactive content than HTML, which leads to a more
engaging experience for e-learners, and may ultimately make e-learning more
commercially viable (Filipczak 1998). XML is expected to radically transform the
Internet in general and e-learning in particular upon adoption of standards by the World
Wide Web Consortium.
VRML
Virtual Reality Modeling Language (VRML) is the 3D language of the Web. It’s
purpose is to provide information to web pages in a three dimensional format. Because
objects in this environment are 3D, they can be viewed from any angle, including close-
ups. Applications for this in learning include simulations, such as in a manufacturing
environment where one “moves” around the factory “operating” the machinery. (Hall,
1997). Current problems facing the widespread adoption of VRML in e-learning is the
necessity for a client-side plug-in to be installed on the learner’s computer. This problem
hopes to be solved by the development of international standards for VRML, currently
being drafted by the Web3D Consortium (Barron, 2000a).
Integrating Knowledge Management with E-Learning
“If Knowledge Management is a great way to get learning to happen, shouldn't
training departments be involved in harnessing Knowledge Management?” This is a
question posed by Barron (2000c) in a recent article on the emergent role that e-learning
and knowledge management will play together in the future. The two fields have
traditionally held different positions within an organization, with Knowledge
Management (KM) typically being a strategic partner with executive decision makers.
Internal training departments, usually the hosts of e-learning initiatives, have been badly
positioned politically, but do have a relatively good reputation for coming in under
budget (Barron 2000c).
Many barriers exist for established organizations to integrate the training function
with knowledge management. The largest barrier to integrating these two fields is the
traditional reliance of training on assessment techniques used to measure skills and
knowledge. This practice runs counter to knowledge management’s goal of capturing
and sharing knowledge in real-time. Some analysts predict that assessment will move
from 'prove what you know' to strictly being used as a way to customize the content that
you receive (Barron 2000c). Another challenge facing integration of e-learning and
knowledge management will be a shift in the balance of power. Training departments
will have to acclimate to a new model where they are not the sole producers of content,
but rather are responsible for helping to decentralize it to subject matter experts. (Barron
2000c). This decentralization of knowledge will be necessary for organizations that are
looking to reduce product cycle times by providing employees with current content.
57
Finally, one obstacle that knowledge management has always had to deal with remains:
motivating individuals to share knowledge, not hoard it.
Fortunately, the technologies that are being used by both e-learning and
knowledge management may help converge the two fields. Collaborative forums used in
e-learning such as threaded discussion boards enable learners to share information. A
learning intervention that combines the best of learning and knowledge management
would supplement procedural information with input from an employee's peers, possibly
in the form of “war stories” (Barron 2000c). XML, discussed earlier, is also seen as a
key technology for tying learning to knowledge management. For example, IBM’s
MindSpan Solutions group is using the Web language to tie relevant e-learning and
knowledge resources to various skill profiles; learners are matched with a skill profile
through an assessment mechanism (Barron 2000c).
One way to consider the future of knowledge management and e-learning is to
think of the partnering as an internal mini-economy where individuals are rewarded when
their knowledge, or content, is used by others. This provides individuals with incentive to
contribute and use their own knowledge and that of their peers.
Authoring Tools
Authoring tools provide a way to create content. A variety of different methods
exist to author the content used in e-learning and vary in their approach and degree of
difficulty. Many of these have been touched on earlier in the delivery systems
component, such as HTML, DHTML, and XML. The development of training and
performance support in HTML and its derivatives using traditional tools is efficient and
easy, compared to the development of computer-based training on CD-ROM (Curtin
1997). Many third-party authoring tools are available and frequently used in e-learning
content creation such as Macromedia Authorware and Dreamweaver (with CourseBuilder
plug-in) and Click2Learn’s ToolBook, among others. Some provide simple features and
offer drag and drop interfaces for designing content. Others require programming in
HTML, Java, or other languages. Typically, the courses that are authored in a more
complicated environment offer more media-rich interactivity (Hall 2000a). A thorough
description and comparison of different authoring tools is available online at
http://www.elearningmag.com/issues/may00/cover.htm.
As discussed earlier, with the adoption of standards for new web languages (such
as DHTML and XML), we may see a decay in the use of some third party authoring tools
for e-learning content.
Training and Learning Management Systems
Training Managements Systems (TMS) sometimes referred to as Learning Management
Systems (LMS), form the infrastructure of an e-learning system. TMS are a dynamic
platform that support the tracking of users (learners), assessing performance, deployment
of content, providing administrative functions such as access to user records, as well as
providing an environment for chat rooms, threaded discussions, and synchronous learning
58
environments (McCrea et al. 2000; Domingo 1999). TMS often interface with existing
enterprise resource planning software applications.
The products of many leading TMS providers include features such as robust
functionality, highly scalable, easy implementation, and strong content partnerships
(McCrea et al. 2000). These features are especially important when choosing a TMS in
order to accommodate the growing number of e-learners.
Portals
Brandon Hall offers an explanation of learning portals on his website,
http://www.internetconnect.net/~bhall/portals/. “Learning Portals are web sites that
provide a combination of courses, collaboration and community. Initially set up with e-
commerce for the individual purchaser with a credit card, most portals have plans to offer
credits of some type for multiple registrations from a single organization. The most
likely winning model [for e-learning portals] will be the aggregators who coffer courses
from multiple content creators. Like Amazon for books, they want to be the single place
you go to on the Internet to find the training you want.
Around the different approaches, several strategies are being developed for
implementing these various technologies into the online learning medium. Vendor
solutions range from do-it-yourself content development to all-in-one turnkey packages.
Training portals offer outsourced e-learning solutions to businesses that do not have the
expertise or resources to develop the programs themselves. As Brandon Hall mentions
above, a given learning portal may have multiple content providers, and may in turn be a
content provider for other portals. This again raises the issue of inter-operability between
these many providers.
Portals can also be seen from a different perspective as representing the end user
interface of the e-learning system. The portal can function as an entry platform for the
course content itself, as mentioned above, and for other features such as training
management systems and authoring environments. It is important for the portal to be
well organized, easy to navigate, and personalized to the learner, if possible (McCrea,
Gay, and Bacon, 2000). Customized learning portals can provide many resources to
users such as a job-related information and aids, development plans, courses taken in the
past and those in progress, appropriate news releases, announcing upcoming seminars
and events, and access to learning communities (McCrea et al. 2000). This customization
of portals could prove to be extremely important in the future in order to maintain
customer loyalty as the previously discussed standards are adopted that allow learners to
access content from a number of competing portals.
Integrated Solutions
Many e-learning providers offer complete turnkey solutions consisting of content
and multimedia, an authoring environment and training management systems in order to
competitively differentiate themselves from others in the market. “With learning
technology development now at a fever pitch, claims of a “total training solution” have
59
become a comical mantra in the press releases of product developers.” (Barron 2000a).
Many e-learning portals offer integrated solutions as their services.
We’ve examined many of the components and technologies used in delivering e-
learning content. Current technologies, such as text and graphics, multimedia,
collaborative software, and synchronous delivery are giving way to newly emerging
technologies. Industry consortia and government agencies are taking many of these
technologies, such as DHTML, XML, and VRML, through extensive revision in order to
create standards that support reusable learning objects and allow for enhanced learner
interactivity. The adoption of these standards may change the way the e-learning is
presently authored. Instead of using third party software to more independent tools that
may even enable learners to author their own content to assist in knowledge management.
In order to help manage all the administrative and tracking functions of an e-learning
environment, a training management system is necessary. Commercial e-learning
providers called portals have emerged offering courses, content, collaboration, and
community. These providers are partnering with one another and other organizations in
order to offer a through library of content. Finally, one emerging trend is the
consolidation of all of these variables into one integrated commercial solution sold to
businesses looking to implement a complete e-learning program.
60
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