Lifelong Learning And Its Support With New Media

Abstract

Lifelong learning is an essential challenge for inventing the future of our societies; it is a necessity rather than a possibility or a luxury to be considered. Lifelong learning is more than adult education or training --- it is a mindset and a habit for people to acquire. It creates the challenge to understand, explore, and support new dimensions of learning such as: (1) self-directed learning, (2) learning on demand, (3) informal learning, and (4) organizational learning. Lifelong learning requires a deeper understanding of the co-evolutionary processes between fundamental human activities and their relationships with new media. It requires an integration of new theories, innovative systems, practices, and assessment. New intellectual spaces, physical spaces, organizational forms, and reward structures need to be created to make lifelong learning an important part of human life. These new spaces and structures must support individuals, groups, and organizations who will engage in and experience them as innovators and risk takers, and will use their creativity and imagination to explore alternative ways of learning.

Full text

Gerhard Fischer 1 Encyclopedia of Social and Behavioral Sciences
Contribution to the International Encyclopedia of Social and Behavioral Sciences, Discipline
“Cognitive Psychology and Cognitive Science,” Section Editor: W. Kintsch, Contribution No 41
LIFELONG LEARNING AND ITS SUPPORT WITH NEW MEDIA
Gerhard Fischer
Center for LifeLong Learning & Design (L3D)
Department of Computer Science and Institute of Cognitive Science
University of Colorado, Boulder
Abstract
Lifelong learning is an essential challenge for inventing the future of our societies; it is a necessity
rather than a possibility or a luxury to be considered. Lifelong learning is more than adult
education or training — it is a mindset and a habit for people to acquire. It creates the challenge
to understand, explore, and support new dimensions of learning such as: (1) self-directed
learning, (2) learning on demand, (3) informal learning, and (4) organizational learning.
Lifelong learning requires a deeper understanding of the co-evolutionary processes between
fundamental human activities and their relationships with new media. It requires an integration
of new theories, innovative systems, practices, and assessment. New intellectual spaces, physical
spaces, organizational forms, and reward structures need to be created to make lifelong learning
an important part of human life. These new spaces and structures must support individuals,
groups, and organizations who will engage in and experience them as innovators and risk takers,
and will use their creativity and imagination to explore alternative ways of learning.
Introduction
Learning needs to be examined across the lifespan because traditional notions of a divided
lifetime—education followed by work—are no longer tenable [Gardner, 1991]. Professional
activity has become so knowledge-intensive and fluid in content that learning has become an
integral and irremovable part of work activities. Learning is a new form of labor, and working
often is (and needs to be) a collaborative effort among colleagues and peers. In the emerging
information society, an educated person will be someone who is willing and able to consider
learning as a lifelong process. More and more knowledge, especially advanced knowledge, is
acquired well past the age of formal schooling, and in many situations through educational
processes that do not center on traditional schools [Illich, 1971]. Lifelong learning is more than
adult education, which often is restricted to providing people with opportunities to engage in
(school-like) learning activities during their adult life. The challenge for lifelong learning is to
fundamentally rethink learning, teaching, and education for the information age in an attempt to
change mindsets. It involves and engages learners of all ages in acquiring and applying
knowledge and skills in the context of authentic, self-directed problems, and it exploits the
possibilities offered by new media.
Lifelong learning has emerged as one of the major challenges for the worldwide knowledge
society of the future. A variety of recent events supports this claim: (1) 1996 was the “European
Year of Lifelong Learning,” (2) UNESCO has included “Lifetime Education” as one of the key
issues in its planning, and (3) the G7/G8 group of countries has named “Lifelong Learning” as a

Gerhard Fischer 2 Encyclopedia of Social and Behavioral Sciences
main strategy in the fight against unemployment. Despite this great interest, there are few
encompassing efforts to tackle the problem in a coherent way. Lifelong learning is
comprehensive; it cannot be investigated in isolation by looking just at one small part of it, such
as K-12 education, university education, or worker re-education.
Problems in the Information Age
Lack of creativity and innovation. Societies and countries of the future will be successful not
“because their people work harder, but because they work smarter.” Creativity and innovation
are considered essential capabilities for working smarter in knowledge societies [Drucker, 1994];
thus an important challenge is how these capabilities can be learned and practiced. An implicit
assumption is made that self-directed and lifelong learning can influence the creativity and
innovation potential of individuals, groups, organizations, and countries [Dohmen, 1999].
Coping with change. Most people see schooling as a period of their lives that prepares them for
work in a profession or for a change of career. This view has not enabled people to cope well with
the new realities of our world that (1) most people change careers several times in their lives,
even though what they learned in school was designed to prepare them for their first career; and
(2) that the pace of change is so fast that technologies and skills to use them become obsolete
within 5-10 years.
School-to-work transition is insufficiently supported. If the world of working and living relies
on collaboration, creativity, and framing of problems; deals with uncertainty, change, and
distributed cognition; and augments and empowers humans with powerful technological tools,
then the world of schools and universities needs to prepare students to function in this world.
Industrial-age models of education and work (based on B.F. Skinner and F.W. Taylor; see Table 1)
are inadequate to prepare students to compete in the knowledge-based workplace.
The “gift wrapping” approach dominates educational reform. Information technologies have
been used to mechanize old ways of doing business, rather than fundamentally rethinking the
underlying work processes and promoting new ways to create artifacts and knowledge. In
learning, these technologies have been used primarily as add-ons (“gift-wrapping”) to existing
practices [Fischer, 1998b] rather than a catalyst for fundamentally rethinking what education
should be about in the next century. Conventional frameworks, such as instructionism, fixed
curricula, memorization, decontextualized rote learning, etc., are not changed by technology
itself. “Computer literacy” has often been equated with a bag of superficial and transitory
knowledge rather than with what really matters about computers: namely, that all people can use
them for their own purposes . New technologies and new media (such as the World Wide Web,
multi-media design, etc.) are necessary to achieve certain learning objectives and to provide
foundations for people to change their mindsets, but they by themselves are not sufficient.
Changing Mindsets
Cultures are substantially defined by their media and their tools for thinking, working, learning,
and collaborating. A large number of new media are designed to see humans only as consumers.
Television is the most obvious medium that promotes this mindset and behavior [Postman, 1985].
Unfortunately, a consumer mindset does not remain limited to television, but in many cases is a
model dominating our culture. In our educational institutions, learners are often treated as
consumers, creating a mindset of consumerism for the rest of their lives [Illich, 1971]. Citizens
often feel left out in the decisions by policy makers, denying them opportunities to take an active
role.
The current mindset about learning, teaching, and education is dominated by a view in which
teaching is often fit “into a mold in which a single, presumably omniscient teacher explicitly tells
or shows presumably unknowing learners something they presumably know nothing about”
[Bruner, 1996]. A critical challenge is a reformulation and reconceptualization of this
impoverished and misleading conception. Although this model may be more realistic for the
early grades in schools, it is obviously inadequate for learning processes as they occur in lifelong

Gerhard Fischer 3 Encyclopedia of Social and Behavioral Sciences
learning, where knowledge is distributed among many stakeholders and “the answer” does not
exist or is not known. Learning is more than being taught [Illich, 1971]. Learning new skills and
acquiring new knowledge cannot be restricted to formal educational settings. By integrating
working and learning, people learn within the context of their work on real-world problems.
Learning does not take place in a separate phase and in a separate place, but is integrated into the
work process. The direct usefulness of new knowledge for actual problem situations greatly
improves the motivation to learn new materials because the time and effort invested in learning
are immediately worthwhile for the task at hand — not merely for some putative long-term gain.
Many conventional frameworks are grounded in the behaviorist learning theory of Skinner and
the models of industrial work of Taylor. Table 1 contrasts these approaches with new goals and
new objectives for the information age.
Skinner/Taylor Beyond Skinner and Taylor
there is a scientific, best way to learn and to work ---> real problems are ill-defined and wicked
separation of thinking, doing, and learning ---> integration of thinking, doing, and learning
task domains can be completely understood ---> understanding is partial, tacit and situated; total
coverage is impossible
objective ways to decompose problems into
standardizable actions
---> subjective, situated personal interests; need for
iterative explorations
all relevant knowledge can be explicitly
articulated
---> much knowledge is tacit and relies on tacit skills
teacher / manager as oracle ---> teacher / manager as facilitator or coach
operational environment: mass markets, simple
products and processes, slow change, certainty
---> customer orientation, complex products and
processes, rapid and substantial change,
uncertainty and conflicts
Table 1: Transcending Skinner and Taylor
The conceptual framework outline in Table 1 provides the foundation to differentiate between
school and lifelong learning, as illustrated by Table 2. Schools often create mindsets about
learning, teaching, and collaboration that would require a “big switch” at some point in people’s
lives: seeing themselves as active contributors rather than as passive consumers. To create
different mindsets, we need to change our formal educational institutions to environments in
which knowledge is (collaboratively) created, externalized and shared [Arias et al., 2000]. Skills
and processes that support learning as a lifetime habit must be developed, and efforts must be
undertaken for learners to develop a positive attitude, enjoyment, and motivation toward
learning — because no one will engage in processes and attitudes during their whole life for
goals and objectives that they do not like.

Gerhard Fischer 4 Encyclopedia of Social and Behavioral Sciences
School/University Lifelong Learning
emphasis “basic” skills; exposure; access education embedded in ongoing work
activities; informed participation
potential drawbacks decontextualized, not situated relevant concepts are not encountered
problems given constructed
new topics defined by curricula arise incidentally from work situations
structure pedagogic or “logical”
structure
work activity
roles expert-novice model asymmetry of knowledge; reciprocal
learning
teachers / coaches expound subject matter engage in work practice
mode instructionism
(knowledge absorption)
constructionism
(knowledge construction)
Table 2: Comparison of Different Conceptualizations of School/University and
Lifelong Learning
Emphasizing New Forms of Learning from a Lifelong Learning
Perspective
Lifelong learning refers to a society in which learning possibilities exist for those who want to
learn. Table 3 summarizes four innovative forms of lifelong learning, and addresses their
contributions toward the creation of mindsets and the media requirements generated by them.
Form Comple-
menting
Form
Contribution
toward Mindset
Creation
Major Challenges Media Requirements
self-directed
learning
prescribed
learning
authentic
problems
problem framing understanding
evolving tasks
learning on
demand
learning in
advance
coverage is
impossible;
obsolescence is
guaranteed
identifying the
breakdown leading to the
demand; integration of
working and learning
critics; supporting
reflection-in-action
informal
learning
formal
learning
learning by being
in the world
larger, purposive
activities provide learning
opportunities
end-user modifiability
organizational
learning
individual
learning
the individual
human mind is
limited
shared understanding externalizations
understandable by all
stakeholders
Table 3: Overview of New Forms of Learning Contributing to Lifelong Learning
The Impact of Lifelong Learning Themes on Mindsets
Impacting mindsets is a socio-technical design problem [Fischer, 1999]. Research and practice
should be conducted as an instrument of change to alter and improve the way people learn and
think. Creating innovative media and technologies supporting a “new” mindset requires the
following co-evolution: we must rethink and reinvent learning, working, collaboration, and
education in the context of new media, and simultaneously we must invent and create new
media in the context of learning, working, collaboration, and education.

Gerhard Fischer 5 Encyclopedia of Social and Behavioral Sciences
From Consumers to Active Contributors. To create designer mindsets, one of the major roles for
new media and new technologies is not to deliver predigested information to individuals, but to
provide the opportunity and resources for social debate, discussion, and collaborative knowledge
construction. In many human activities, learning cannot be restricted to finding knowledge that is
“out there.” If nobody knows the answer, we have to create new knowledge. The knowledge to
understand, frame, and solve many problems does not exist, but is constructed and evolved
during the process of solving these problems [Schön, 1983]. From this perspective, access to
existing information and knowledge (often seen as the major advance of new media) is a limiting
concept. Many social and technological innovations are limited to provide primarily better access,
leading to “consumer” cultures [Fischer, 1998a]. Our research focuses on and creates support for
lifelong learning activities grounded in informed participation [Arias et al., 2000]. This goal
creates the challenge to develop open, evolvable systems, allowing end-users themselves to
extend their tools and information spaces, and thereby become independent (if they desire) of
professionals.
New Media in Support of Lifelong Learning. The most promising way to provide opportunities
for an active contributor mindset is to allow learners and workers to engage in design activities by
creating environments supporting them in making external artifacts that they can reflect upon
and share with others. Over the last ten years we have built a large number of different domain-
oriented design environments supporting the different forms of learning described in Table 3. These
environments are not only used to instruct and assist novice designers, but they are able to
support designers as lifelong learners. A specific example of a domain-oriented design
environment is the Envisionment and Discovery Collaboratory [Arias et al., 2000]. This system (for
details see: http://www.cs.colorado.edu/~l3d/systems/EDC/) not only provides access to
existing information, but allows all participants to engage in self-directed learning by supporting
informed participation and collaborative knowledge construction. It combines physical and
computational simulations to allow organizational learning by supporting group decision-
making, mutual learning processes, and the creation of shared understanding. The incremental
design and construction of an externalized world provides numerous opportunities for all
involved stakeholders for self-directed learning and learning on demand.
The “open source” movement [O’Reilly, 1999] that is currently emerging as a new paradigm for
software development represents an exciting perspective for a society of lifelong learners. “Open
source” approaches regard software and other cognitive artifacts not as a commodity to be
consumed, but one that is collaboratively designed and constructed — providing a model for the
knowledge society of the future.
Evaluation
Self-directed learning, learning on demand, informal learning, and organizational learning are
fundamentally different from the traditional classroom learning dominated by curricula and
tests. Evaluation of these forms of learning is an important, unresolved research topic in itself;
there are no off-the-shelf assessment techniques available for these new forms of learning. These
new approaches require alternatives to standard tests and the experimental methods of
psychology, which measure how people perform on predetermined tasks undertaken by subjects
in a laboratory or in an instructionist classroom. Approaches from anthropology, sociology and
ethnography that study people “in the wild,” as they go about their everyday activities in offices,
homes, schools, laboratories, or wherever they live their lives are needed to evaluate these forms
of learning. It is all too easy to collect data and statistics about those things that are easiest to
identify and count or measure but have little or no connection with the objectives in which we are
really interested. We have to develop evaluation techniques based on performance-based
examinations or execution of large-scale projects and portfolios [Gardner, 1991]. It is obvious that
a change of mindsets cannot be evaluated by a test; it requires assessment of motivation, interest
level, and participation in communities of learners combined with techniques for long-term
longitudinal assessment.

Gerhard Fischer 6 Encyclopedia of Social and Behavioral Sciences
Conclusions
Peter Drucker argued that “There is nothing so useless as doing efficiently that which should not be done
at all.” Adding new media and new technologies to existing practices will not change the
mindsets that learners will acquire in our formal educational institutions. These mindsets are the
major stumbling blocks preventing people from engaging in lifelong learning. Moving beyond
the “gift-wrapping approach” requires that we explore fundamentally new possibilities and
limitations of computational media on how we think, create, work, learn, and collaborate. New
tools will not just help people do cognitive jobs more easily but in the same way they used to, but
they will also lead to fundamental alterations in the way problems are solved. A lifelong learning
perspective requires that we change mindsets. This will include, for example, that teachers
understand their roles not only as truth-tellers and oracles, but as coaches, facilitators, and
mentors; and that knowledge is not presented as a commodity to be acquired or delivered, but as
a human struggle to understand and as a source to deal with personally meaningful problems.
The future of how we live, think, create, work, learn, and collaborate is not out there to be
“discovered”— it has to be invented and designed. Mindsets grounded in seeing learning as an
important part of human lives will be an integral part of the future.
Acknowledgments
The author would like to thank the members of the Center for LifeLong Learning & Design (L3D)
and the Institute of Cognitive Science at the University of Colorado, who have made major
contributions to the conceptual framework and systems described in this paper. The research was
supported by (1) the National Science Foundation, Grants REC-9631396 and IRI-9711951; (2)
Software Research Associates, Tokyo, Japan; and (3) PFU, Tokyo, Japan.
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