From OER to PLAR: Credentialing for open education

Abstract

Recent developments in OER and MOOCs (Open Educational Resources and Massive Open Online Courses) have raised questions as to how learners engaging with these courses and components might be assessed or credentialed. This descriptive and exploratory paper examines PLAR (Prior Learning Assessment and Recognition) as a possible answer to these questions. It highlights three possible connections between PLAR and open education which hold the greatest promise for credentialing open learning experiences: 1) PLAR may be used to assess and credential open educational activities through the use of exam banks such as CLEP (College Level Examination Program); 2) Learning occurring in xMOOCs (MOOCs based on already credentialed courses) and in other open contexts resembling “courses” may be assessed in PLAR through course-based portfolios; and 3) PLAR may also be enabled through the specification of “gap learning” facilitated through OER of many different kinds. After describing these options, the paper concludes that although the connections leading from open educational contexts to PLAR credentialing are currently disparate and ad hoc, they may become more widespread and also more readily recognized in the PLAR and OER communities.

Full text

Open Praxis, vol. 5 issue 1, January–March 2013, pp. 49–58
Special theme: Openness in higher education
Reception date: 25 July 2012 • Acceptance date: 12 December 2012
DOI: http://dx.doi.org/10.5044/openpraxis.5.1.22
From OER to PLAR: Credentialing for open education
Norm Friesen & Christine Wihak
Thompson Rivers University (Canada)
Abstract
Recent developments in OER and MOOCs (Open Educational Resources and Massive Open Online Courses)
have raised questions as to how learners engaging with these courses and components might be assessed
or credentialed. This descriptive and exploratory paper examines PLAR (Prior Learning Assessment and
Recognition) as a possible answer to these questions. It highlights three possible connections between
PLAR and open education which hold the greatest promise for credentialing open learning experiences: 1)
PLAR may be used to assess and credential open educational activities through the use of exam banks
such as CLEP (College Level Examination Program); 2) Learning occurring in xMOOCs (MOOCs based on
already credentialed courses) and in other open contexts resembling “courses” may be assessed in PLAR
through course-based portfolios; and 3) PLAR may also be enabled through the specication of “gap learn-
ing” facilitated through OER of many different kinds. After describing these options, the paper concludes that
although the connections leading from open educational contexts to PLAR credentialing are currently disparate
and ad hoc, they may become more widespread and also more readily recognized in the PLAR and OER
communities.
Keywords: OER; PLAR; MOOCs; self-directed learning; informal learning; credentialing
Introduction
In the decade since the founding of MIT’s Open Courseware Initiative in 2002, Open Educational
Resource (OER) projects offering course materials online at no cost have proliferated in number
and kind. Efforts such as WikiEducator and OER Commons provide tens of thousands of course
components; the Open Courseware Consortium offers similar numbers of whole courses. Initiatives
such as OERu, nally, are working to provide entire degree programs complete with tutorial services
online at zero (or minimal) cost.
All of these developments raise the question as to how learners who work through these
components, courses or programs might be assessed and credentialed. If the many existing OER
initiatives are to realize their full potential, the education that they facilitate must be recognized and
also rewarded in some way by prospective employers and by educational institutions. This issue
has recently attracted a great deal of attention, with one area of particular interest being the use
of “micro-credentials” or “open badges” (e.g., Peck, 2012; The Mozilla Foundation, Peer 2 Peer
University & The MacArthur Foundation, 2012). This paper addresses the matter of credentialing
open education by critically comparing and contrasting the solutions suggested within the OER world
with an established educational alternative. This alternative is PLAR, Prior Learning Assessment
and Recognition1 a service already available at many colleges and universities, particularly those
with exible or open admissions policies. In the light of the developments described above, PLAR
has been called “a less-hyped ‘disruption’ to traditional higher education” (Fain, 2012, n.p.).
The paper begins with a survey of the aspects of OER that are relevant to credentialing, placing
special emphasis on open badges and synchronously delivered open online courses (also known
as MOOCs, or Massively Open Online Courses). It then introduces PLAR as a set of policies and
practices, and also examines the compatibility of PLAR with OER projects and practices. It shows

50 Norm Friesen and Christine Wihak
Open Praxis, vol. 5 issue 1, January–March 2013, pp. 49–58
that some of the most popular approaches to OER and to credentialing, such as badges, personal
learning environments and/or the use of course components for self-study are actually least compat-
ible with PLAR assessment, and that emerging open course models and established standardized
testing procedures actually present far greater possibilities for credentialing through PLAR.
OER, OCW, MOOCs and badges
OER, a term rst adopted at a 2002 UNESCO forum, is generally taken to refer to the “provision
of educational resources, enabled by information and communication technologies, for consulta-
tion, use and adaptation by a community of users for non-commercial purposes” (UNESCO, 2002,
p. 24). Thus dened, such resources can be of relatively ne “granularity” (e.g., modular course
components supporting small units of learning), or much coarser (e.g., a 13-week course or even a
program, for example). These larger components are generally referred to as “Open Courseware” or
OCW. Whether courses or course components, these resources could conceivably be reused (with
or without modication) by an instructor in an online or face-to-face classroom. However, as the
breadth of the denition of OER indicates—and as conrmed by empirical research (e.g., Masterman
& Wild, 2011)—the typical uses of OER are generally much less structured. Their users are generally
individuals or small groups of self-directed learners engaged in self-study. For example, among the
most popular uses of OER is “addressing learners’ specic needs [by] providing opportunities for
supplementary learning, skills development and presenting content in different ways” (Masterman
& Wild, 2011, p. ii). Additionally, a study of the resources made available by the MIT OCW Initiative
shows that the vast majority of access is for the purpose of informal, unstructured learning (including
most prominently, for “enhancing personal knowledge” or “complimenting a course” or “exploring
interests outside of [one’s] professional eld” [MIT OCW, 2011]).
Both MOOCs and badges refer to phenomena or ideas that are much more recent than OER.
There are currently no studies of overall forms of use, design or utility of MOOCs or badges—only
news items, discussion papers and exploratory reports. As an idea and a set of practices, the
synchronous “open course” was pioneered in Canada by George Siemens and Stephen Downes
in 2008, with Stanford and other institutions following their lead in 2011 and 2012. In the case of
the Stanford course mentioned above, news outlets reported that tens of thousands of users from
over 150 countries signed up for the class (see: Markoff, 2011; Leckart, 2012). The creators of this
course have since founded Udacity, a private venture offering six eight-week courses in computer
science for the fall of 2012. MIT undertook a similar open course (6.002x, Circuits and Electron-
ics) in the same timeframe, and garnered 120,000 registrants. It is subsequently developing MITx,
which as MIT explains “will offer a portfolio of MIT courses for free to a virtual community of learners
around the world” (MITx, 2012, n.p.). MIT has also joined up with Harvard to form EdX, which has
similar ambitions—but is larger in scale—than Udacity or MITx. In terms of certication, it is worth
noting that both the Stanford and the MIT open courses offered students successfully completing
the course a “Statement” or “Certicate of Accomplishment”—which make clear, however, that the
accomplishment is not equivalent to a the completion of a “normal” Stanford or MIT course. Other
start-ups and individual innovators are following suit in institutions across the US, including the
for-prot Coursera, which has almost 2 million registrants, over 100 courses, as well as a rather
controversial business model (Coursera, 2012b).
A digital or open badge refers to “an online record of achievements, tracking the recipient’s
communities of interaction that issued the badge and the work completed to get it” (The Mozilla
Foundation et al., 2012, p. 3). This denition is provided by a discussion paper from the Mozilla
Foundation (responsible for developing the Firefox browser). Coming from this foundation, it is not

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surprising to learn that open badges have been dened largely in technical, infrastructural terms.
Specically, these badges are described as an open technical infrastructure or “framework,” one
that would allow anyone on the web to issue a visual symbol of achievement to anyone else on the
web in a manner that can be controlled, veried and designed to prevent forgeries.2 This framework
has attracted considerable interest, as The Chronicle of Higher Education reports:
[These] education badges [are] designed to . . . give potential employers details about the distinctions at
the click of a mouse. Hundreds of educational institutions, traditional and nontraditional, have ocked to
a $2-million grant program run in coordination with the John D. and Catherine T. MacArthur Foundation,
seeking nancial support to experiment with the educational-badge platform. (Young, 2012, n.p.)
In keeping with the relatively ne granularity of some open educational resources mentioned above,
these badges are typically not seen as standing in for credentials on the level of an entire program
or course. They are instead envisioned as signifying fairly specic kinds of achievements and com-
petencies. Examples offered in the Mozilla discussion paper include credentialing for success in
a “‘hackfest’ competition” or for knowledge gained through work on “personal projects.” Professor
and open education advocate David Wiley, who has experimented with badges in online teaching,
explains:
rather than being a token representing course-level achievement, each badge is a token representing the
achievement of a learning outcome. . . . In the open education course I’m currently teaching. . . [s]uccessful
completion of an assignment results in the learner receiving a badge” (Wiley, 2012, n.p.; see also The
Mozilla Foundation et al., 2012, p. 5).
Wiley goes on to argue that used in this way, these badges offer the potential to address a range
of problems that are currently presented by transcripts and other credentialing systems for both
the institution and the learner. These begin, he explains, in difculties in accessing and deciphering
course grades and transcripts:
They can be shared publicly by a learner (or not—the learner is in control of his own data) so that any
potential employer or school can review them. . . their authenticity can be veried by any interested party.
They indicate mastery of a specic learning outcome as opposed to a “grade” in a “course.” And they
can optionally provide links through to the artifacts students submitted to demonstrate mastery. Students
get control of their own learning data and employers and schools get both immediate access and better
detail. . . So a move to learning outcomes-aligned badges. . . [is one] in which both the institution and
the learner win. (Wiley, 2012, n.p.)
As an infrastructure or framework, Mozilla’s solution clearly models a small subset of functions
provided by a registrar’s ofce at any postsecondary institution (albeit with the potential of much
greater efciency, possibly also with greater potential for security issues). As a credential, the con-
ditions under which a badge is awarded can be controlled by the organization issuing the badge.
Access to it can be precisely controlled by the student or graduate. It potentially forms a highly
efcient conduit for controlling, transmitting and receiving credentials. However, it is not clear exactly
what signicance the credentials travelling on this efcient and user-friendly infrastructure will have.
The Mozilla discussion paper admits that “in order for any badge system to accumulate value and for
badges to carry or contend with the weight of formal grades or degrees, quality and vetted assess-
ments will be critical” (The Mozilla Foundation et al., 2012, p. 8). However, the same document
offers little indication of how these critical issues of quality and “weight” will be addressed.
Badges, open courses, open resources and courseware all present promising possibilities for
credentialing. At the same time, the questions of quality and weight referenced in the Mozilla report
apply to nearly all of these resource types and technologies. Because courses and educational
content are being made available online in unprecedented quantity, it does not follow that issues of
quality are also automatically satised. And a system such as Mozilla badges leaves unaddressed

52 Norm Friesen and Christine Wihak
Open Praxis, vol. 5 issue 1, January–March 2013, pp. 49–58
the complex and urgent question of how the academic signicance or market value of these creden-
tials will be measured and understood. It is one thing to bring educational content and credentialing
data to the celebrated speed and ubiquity of the Internet; it is another to establish fruitful connections
with systems of economic value and social capital—systems predicated on economies of scarcity
and lack rather than instantaneity and plenitude.
PLAR basics
This last point sets the stage for the practices and policies of PLAR, which offer an established
alternative for operating in the credentialing “economy” of degree-granting institutions. As an inter-
national eld of practical and administrative endeavour, Prior Learning Assessment and Recogni-
tion has developed in a range of institutional contexts over the last 50 years, with its policies and
practices only very recently being brought together and compared internationally. These practices
and policies differ quite widely between countries and even institutions; consequently, the eld can
be best characterized on either a macro or a micro level, on the most general terms or through
quite specic examples. One source denes PLAR in general terms as
a systematic process to evaluate and accredit learning gained in a variety of contexts by assessing
relevant learning against the standards required by the admitting institution’s courses and programs.
[It] includes all those things individuals know or can do at the point where they decide they wish to
obtain recognition, that is, become formally qualied. . . through a credential awarded by a recognized
postsecondary institution. (Wong, 1996, pp. 1–2)
This denition makes the institutional origins and orientation of PLAR quite clear: the focus is to
evaluate learning that has occurred outside of a given degree-granting institution, but still in relatively
strict accordance with the criteria of that institution. Unlike the scenarios invoked by the Mozilla dis-
cussion paper, the credentialing offered by PLAR is not on the level of detail or granularity of many
open educational resources or activities. The type of recognition offered by PLAR would not be, for
example, for winning a “hackfest” competition or for the completion of a single course outcome or
assignment. Instead, for PLAR, the “course” is generally the smallest unit of analysis, with groups
of courses or course credits being the most common objects of assessment in this eld. Reecting
its origins some 20 years before the advent of the World Wide Web (to say nothing of the Web’s
more recent 2.0 or participatory incarnations), PLAR has generally focused on learning occurring
in the widest range of contexts, including:
1. Formal learning obtained at institutions without the possibility of direct credit transfer, includ-
ing overseas qualications (e.g. granted in a foreign language) and continuing education
courses;
2. Work-related experience and training, such as on-the-job training or employer-sponsored
training programs;
3. Local community or political work, generally undertaken on a volunteer basis;
4. Informal, self-directed learning, alone or in a work or community context. (see: Wong, 1996,
p. 2)
In many cases, it is only informal, self-directed learning, the last of these various types of learning,
that is given sustained consideration in discussions of accreditation for OER. From the perspec-
tive of PLAR, learning occurring on the Web is only one of a number of types of learning to be
addressed under this particular rubric. PLAR scholars in Canada point out, for example, that 80%
or more of working-age adults participate in informal learning of some kind (Wihak & Hall, 2011),
and that in the workplace, 70% of relevant learning is acquired through informal means of various
kinds (Carliner, 2012).

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The ways in which PLAR seeks to address and accredit at least some constituents of this vast
“sea” of unrecognized learning is through processes of assessment that are generally quite localized
and individualized. These typically involve the work of a PLAR ofce or facilitator (e.g., one made
available by a community college, a distance education institution or a professional association)
who assists the student to document learning claims. This PLAR expert is sometimes joined by
one or more content experts (e.g. professors) who may also assess the learning. The methods for
assessing and accrediting typically used in PLAR include:
1. The assessment of a portfolio compiled by the learner documenting previous learning either
in terms of general competencies (e.g., those acquired through a degree program) or spe-
cic outcomes (e.g., those acquired through a course). Portfolios of this kind typically serve
to summarize the learning gained from a range of non-formal and informal learning experi-
ences. From an open or online learning perspective, they can be considered equivalent to
e-portfolios, but with a signicant reective emphasis.
2. The assessment of knowledge through an examination, also known as a “challenge exam.”
As the phrase suggests, this is a type of test that learners can take in order to prove that they
possess forms of knowledge (and less often, skills) that are equivalent to those required in
or produced through a particular course or curriculum.
3. The assessment of knowledge in an interview or other context in which performance and
competency (e.g., in verbal communication) can be assessed.
With the possible exception of the second option, of taking a challenge exam, the methods used
in PLAR to assess learner achievement are rather demanding, both from a time and resource per-
spective. They frequently involve not only an expert in PLAR, but also one in the subject matter or
competency being assessed. Moreover, these methods of assessment are often used in different
combinations. A portfolio may be assessed along with an interview with the learner, or the results
of an examination may be used together with more qualitative kinds of data. Consequently, as one
study concludes: “PLAR methodologies are presently very labour intensive and unlikely to scale
well for large numbers of learners” (TEKRI, 2011, p. 9).
However, this has not prevented some relatively optimistic speculation about the adaptability of
PLAR to OER. For example, the document “OER for assessment and credit for students project”
[sic] claims as follows:
The knowledge, research and experience derived from the large-scale open distance learning institu-
tions in providing assessment services at a distance, combined with renements to existing protocols
for Prior Learning Assessment and Recognition (PLAR) could open pathways for assessment and credit
services for students where traditional delivery models are unable to respond to the growing need for
post-secondary education worldwide. (TEKRI, 2011, p. 1)
It remains to be seen how adaptable PLAR may be to the yet unknown levels of demand produced
through OER.
PLAR portfolios
One of the most popular forms for PLAR is the portfolio, but it is signicantly more labour intensive
and less scalable than challenge exams (which are discussed below). Portfolios used in PLAR can
vary in structure and in terms of the evaluation process to which they may be subjected.
Course-based portfolios seek to identify very clear one-to-one correspondence between student
learning to be evaluated and recognized, and the learning outcomes of a specic course. A student
might, for example, be given a list of the learning outcomes for an introductory business course on
management (e.g., “differentiate where a supervisor ts into an overall organization hierarchy”), and

54 Norm Friesen and Christine Wihak
Open Praxis, vol. 5 issue 1, January–March 2013, pp. 49–58
then describe his or her relevant experience as a manager related to each outcome. This type of
technique is used at many post-secondary institutions where PLAR services are provided.
A small number of institutions in North America, including Thompson Rivers University, Athabasca
University, and Empire State College, take this “matching” or “correspondence” approach even fur-
ther. They allow students to submit portfolios that may be considered equivalent to multiple courses
or blocks of elective credits. These institutions see portfolios as having the potential to demonstrate
learning that would be equivalent to more general, program-level learning outcomes, rather than
the very specic outcomes of individual courses or course-units. For example, Thompson Rivers
University (TRU) differentiates between competency- and course-based portfolios (TRU, 2012).
Competency-based portfolios in this context are generally assembled to make the case that a stu-
dent has knowledge and learning equivalent to a number of elective credits (rather than required
credits) to be accumulated for the completion of a degree program. Both the elective credits and
the relevant life experience are selected from a range of possibilities, implying a certain amount of
exibility on both the institutional and the individual sides of the PLAR equation. Learning acquired,
for example, through a combination of paid and volunteer work experience would be described
in detail, and supported through a wide range of third party documentation, from supervisors,
organizations, etc.
Of course, various portfolio types and other demonstrations of competency can be combined
to produce different collections of evidence: Matches between individual experience and course
outcomes might be combined with an interview, paper or a test through which other aspects of
learning are demonstrated. Quoting one PLAR expert, a recent article appearing Inside Higher Ed
explains:
the student must explain that he or she has learned the concepts taught in a particular course at
an accredited college. . . complete with detailed information that matches up with the content and actual
syllabus of that course. Each course-based description is “very similar to an end-of-course term paper,”
[as one PLAR expert says]. And although it can be a bit less formal than a research paper, “each concept
needs to be addressed specically.” (Fain, 2012, n.p.)
The conclusion that this same article draws based on this rather rigorous set of demands is that
gaining credit equivalencies through PLAR may be only slightly less challenging and less expensive
than learning in a formal educational context: Some “. . .students might decide it’s easier to retake
an equivalent course at a traditional college than to seek prior-learning credit” (Fain, 2012, n.p.).
While exible and broadly accommodating, the portfolio method of assessment is likely not the most
attractive pathway—either for a student having completed an open learning experience or for an
institution wishing to assess one.
OER to PLAR: Not getting lost in translation
However, it would be misleading to conclude that there is no direct or effective path from OER to
PLAR: The institutional orientation of PLAR, and the individualized uses typical for OER present
a number of possibilities that may be attractive for learners and institutions alike. These are to be
found where bodies of knowledge or sets of skills required for credit are highly standardized, and
where the uses of OER are not particularly idiosyncratic or personalized. In these cases, a general
uniformity in the kind of knowledge required, or in the type of learning experience assessed, present
attractive possibilities of moving from OER to PLAR.
Challenge exams and standardized high-stakes testing can, in some knowledge domains, be used
to demonstrate knowledge that is equivalent to that which might be gained in a course or set of
courses. This type of testing of extra-institutional learning for accreditation has long been a feature
of higher education in the US (Keeton, 2000; Travers, 2011). Operated by the College Entrance

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Examination Board, the College Level Examination Program (CLEP) a particularly important resource
or service in this regard was developed in 1967. CLEP exams focus on lower level postsecondary
learning, with 33 exams in 5 subject areas: History & Social Sciences, Composition & Literature,
Science & Mathematics, Business & World Languages. (Specic exam topics include introductory
psychology, principles of management, pre-calculus and college composition; see CLEP, 2012.)
The DANTES (Defence Activity for non-Traditional Education Support) is a similar resource which
allows military personnel to earn academic credits for their learning from military training and experi-
ence (e.g., in “Introduction to World Religions” or “Organizational Behavior”, DANTES, 2012). Both
Thomas Edison State College (http://tesc.edu/) and Excelsior College (http://excelsior.edu/) have
created exam programs similar to those of CLEP and DANTES. CLEP and the Excelsior College
exams are already endorsed by the American Council on Education for acceptance as academic
credit towards college and university programs. Administered through international networks of
secure, computerized testing centres, these standardized exam programs have the potential to
provide large scale assessment at a distance.
These existing exam programs could be used to assess learning from open courses or MOOCs, to
the extent that this course-based content might line up against the subject-matter tested in a given
assessment. Indeed, the UNESCO-funded OER University has identied eight courses available
as OER content from consortium partners to use as prototypes for such study and examinations.
Four of these courses have content related to existing CLEP exams: College Composition, College
Math, Introductory Psychology, and Principles of Management. Recognizing this opportunity, Excel-
sior College, which has its own examination program, has already introduced the “$10K Degree”
program which allows distance education students to earn a degree cheaply (by North American
standards) through a variety of selected OERs (e.g. those of Khan Academy), which have been
matched with Excelsior’s examinations (Fain, 2012). Of course, the range of subjects covered by
existing exam programs is quite limited. It is much more difcult, for example, to see standardized
testing as being able to measure the equivalent of courses in classroom management or advanced
philosophy than basic courses in chemistry or calculus.
Central to the second path leading from OER to PLAR is the synchronous open online course
or MOOC. Synchronous, open, online courses offer particular promise because of the general
uniformity of the learning experience and structure that would likely be part of the successful com-
pletion of such a course. Indeed, the article from Inside Higher Ed cited above refers precisely to
the possibility of a connection between MOOCs and PLAR, and quotes a PLAR expert as saying:
“We see MOOCs as yet another structured learning experience offered outside of the traditional
college classroom setting” (Fain, 2012, n.p.). It is this structure that allows the outcomes of an open
online course (massive or otherwise) and of its various components to be compared in a PLAR
assessment to that offered by an institution already afliated with the PLAR service. The fact that
the open course in this example may have been developed and offered by a faculty member from
Stanford or MIT—and that the student received a statement of accomplishment from the same
institution—would only make the PLAR process easier. This same article on MOOCs and PLAR
provides the following scenario:
A student successfully completes a MOOC. . . . The student then describes what he or she learned in
that course, backing it up with proof, in a portfolio developed with the help of LearningCounts.org or
another service, perhaps offered by a college. . . “It’s just a matter of time,” said Chari Leader Kelley, vice
president for LearningCounts.org, which is a subsidiary of the Council for Adult and Experiential Learning
(CAEL). And Kelley said CAEL will be ready to handle those submissions. “We are set up to do that. The
infrastructure is there.” (Fain, 2012, n.p.)
Alternatively, given the large numbers of students enrolled in many MOOCS, it might be feasible for
a proctored challenge process to be created that tests students learning and allows them to earn

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academic credit. This route may be explored by the institution that itself originated the MOOC or it
may be developed by an unrelated institution. For example, Coursera is having a few of its MOOCs
evaluated by the American Council on Education for academic credit (Coursera, 2012a). PLAR
experts are indeed ready and able to translate the experience of a successful MOOC participant
into the language of accreditation used by a registrar’s ofce.
MOOCs and OCW may also help to solve a persistent problem in the use of course-based PLAR
methods. Often, a student is able to meet some but not all of the learning objectives of a particular
course. In the typical post-secondary context, such a student is left with no option but to take the
entire course to acquire the absent components. MOOCs, however, may offer students the oppor-
tunity for “gap training” needed to ll in this missing knowledge, and to then complete the course
successfully through a PLAR portfolio and/or challenge exam.
The reason for the compatibility between MOOCs or OCW and PLAR, of course, is because the
terms of reference used on either side of the PLAR equation referenced above are readily compa-
rable. MOOCs and OCW both offer a learning experience readily comparable to a course for which
a student would be eligible for credit. For similar reasons, very specically dened competencies
or sets of competencies, acquired through OER or similar resources, could also be translated into
institutional accreditation through the successful completion of an exam designed to test these
competencies. It is possible to schematize these hypothetical elements and their interrelationships
as follows (Figure 1, below).
Figure 1: Open education learning experiences and their possible recognition via PLAR processes

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Conclusion: From humble beginnings. . .
The worlds of OER, OCW and MOOCs on the one hand and institutional accreditation on the other
can be bridged, as the above diagram indicates, if one or more bases for comparison between
open educational experiences and institutional categories and requirements can be established.
The relatively amorphous and varied forms of self-directed learning shown on the left in this dia-
gram can be considered comparable to institutional categories on the right only if they can take
on a “shape” or “form” that ts the comparatively uniform expectations of an accrediting institution.
Through standardized examinations, and other, admittedly more resource-intensive processes such
as portfolio assessment and identication of gap training opportunities, PLAR has the potential to
make crucial contributions to this translation process. In this scenario, a technical infrastructure such
as open badges may have a role to play, but any difculties of access and transmission between
granter, student and other recipients of credentials are dwarfed by the challenge of having these
parties agree on their actual value.
As the above diagram shows, the possibilities for translation between the worlds of OER and
PLAR are clearly represent exceptions, rather than any sort of prevailing rule. They are fragmen-
tary, piecemeal and as of yet, largely untested. However, it is conceivable that from these humble
beginnings, a wide range of educational and credentialing practices may soon emerge.
Notes
1 The process of assessing and granting some type of formal recognition for learning acquired outside of
formal education is known by different acronyms around the world: RPL (Recognition of Prior Learning),
PLA (Prior Learning Assessment), VINFL (Validation of informal and non-formal learning), and APEL
(Assessment of Prior Experiential Learning), to name those most commonly used.
2 Technically, it takes the form of an API [application program interface] and a metadata specication that
links granter and recipient (and optionally, the product or creation that the student produced to receive
the credential).
References
Carliner, S. (2012). Informal Learning Basics. Alexandria VA: ASTD Press.
College Level Examination Program (CLEP). (2012). College Level Examination Program. Retrieved
from http://clep.collegeboard.org/
Coursera. (2012a, November 13). American Council on Education to Evaluate Credit Equiva-
lency for Coursera’s Online Courses. Retrieved Dec. 10, 2012 from http://blog.coursera.org/
post/35647313909/american-council-on-education-to-evaluate-credit.
Coursera. (2012b, December 6). In Wikipedia, The Free Encyclopedia. Retrieved December 9,
2012, from http://en.wikipedia.org/w/index.php?title=Coursera&oldid=526731436
Defence Activity for non-Traditional Education Support (DANTES). (2012). Examinations Programs—
DSST. Retrieved from http://www.dantes.doded.mil/Sub%20Pages/Exams/Exams_DSST.html
Fain, P. (June 15, 2012). Making It Count. Inside Higher Ed. Retrieved from http://www.insidehighered.
com/news/2012/06/15/earning-college-credit-moocs-through-prior-learning-assessment
Keeton, M. (2000). Recognizing learning outside of schools in the United States of America.
In N. Evans (ed.) Experiential learning around the world (pp. 31–48). Philadelphia: Jessica
Kingsley.
Leckart, S. (March 20, 2012). The Stanford Education Experiment Could Change Higher Learn-
ing Forever. Wired Magazine. Retrieved from http://www.wired.com/wiredscience/2012/03/ff_
aiclass/all/1

58 Norm Friesen and Christine Wihak
Open Praxis, vol. 5 issue 1, January–March 2013, pp. 49–58
Markoff, J. (Aug. 15, 2011). Virtual and Articial, but 58,000 Want Course. New York Times. Retrieved
July 13, 2012 from: http://www.nytimes.com/2011/08/16/science/16stanford.html?_r=3
Masterman, L. & Wild, J. (2011). OER Impact Study: Research Report. Retrieved from http://
www.jisc.ac.uk/media/documents/programmes/elearning/oer/JISCOERImpactStudyResearch-
Reportv1-0.pdf
MIT OCW. (2011). MIT Opencourseware 2011 Program Evaluation Findings Summary. Retrieved July
13, 2012 from: http://ocw.mit.edu/about/site-statistics/11_Eval_Summary_112311_MITOCW.pdf
MITx. (2012). MITx: MIT’s new online learning initiative. Retrieved from http://mitx.mit.edu/
Peck, K. (2012). Five MORE Reasons to Like Badges. Retrieved from http://www.personal.psu.
edu/faculty/p/1/p16/BadgingAtPSU/Learning_%26_Badges/Entries/2012/3/2_Five_MORE_
Reasons_to_Like_Badges.html
Technology Enhanced Knowledge Research Institute (TEKRI). (2011). Open Education Resources
(OER) for Assessment and Credit for Students Project. Towards a Logic Model and Plan for
Action. Retrieved from http://auspace.athabascau.ca/bitstream/2149/3039/1/Report_OACS-
FinalVersion.pdf
The Mozilla Foundation, Peer 2 Peer University & The MacArthur Foundation. (2012). Open Badges
for Lifelong Learning: Exploring an open badge ecosystem to support skill development and
lifelong learning for real results such as jobs and advancement. Retrieved from https://wiki.
mozilla.org/images/b/b1/OpenBadges-Working-Paper_092011.pdf
Thompson Rivers University (TRU). (2012). PLAR Portfolios. Retrieved from http://www.tru.ca/
distance/plar-ol/plar-sample.html
Travers, N. (2011). United States of America: Prior Learning Assessment (PLA) research in colleges
and universities. In J. Harris, M. Breier & C. Wihak (eds.) Researching the Recognition of Prior
Learning: International perspectives (pp. 248–283). Leicester, UK: NIACE.
UNESCO (2002). Forum on the impact of Open Courseware for higher education in developing
countries nal report. Retrieved July 13, 2012 from: http://unesdoc.unesco.org/images/0012/
001285/128515e.pdf.
Wihak, C. & Hall, G. (2011). Work-related Informal Learning—National Adult Literacy Database.
Ottawa: Centre for Workplace Skills.
Wiley, D. (March 19, 2012). Why Universities will be the Biggest Awarder of Badges (and When).
Iterating towards Openness. Retrieved July 13, 2012 from: http://opencontent.org/blog/
archives/2208
Wong, A.T. (1996). Prior Learning Assessment: A Guide for University Faculty and Administrators.
Saskatoon, SK: University Extension Press.
Young, J.R. (January 8, 2012). “Badges” Earned Online Pose Challenge to Traditional College
Diplomas. The Chronicle of Higher Education. Retrieved July 13, 2012 from: http://chronicle.
com/article/Badges-Earned-Online-Pose/130241/
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