Title: Emerging Issues in Distance Education Research and Practice
1Emerging Issues in Distance Education Research
and Practice
Presentation at http//crdol.athabascau.ca/brazil
keynote.htm
Associação Brasileira deEducação a Distância
Sao Paula, Sept 2, 2002
- Terry Anderson Ph.D.
- Canada Research Chair
- - Distance Education
- Athabasca University
- Terrya_at_athabascau.ca
2Overview
- Interaction as compelling research question
- Example of our work with educational objects
- Implications for where this fits with the
emerging educational semantic web
3Context Athabasca University, Alberta, Canada
Largest Open University in Canada Fastest growing
University in Canada 50,000 enrolments Graduate
and undergraduate programs Largest Masters of
Distance Education program Largest MBA and MDE
programs in Canada
Athabasca University
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5Wayne Gretzky
"Some people skate to the puck. I skate to where
the puck is going to be. 61 NHL records
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7Education is about Interaction
8Fundamental problem of Distance Education-
Getting the Mix Right
- Daniel and Marquis (1979) getting the mixture
right between independent study and interactive
learning strategies
9Educational Media
Face-to-face
Computer conferencing
Video conferencing
Interaction
Audio conferencing
Radio
Television
Correspondence/CAL
Independence of Time and Distance
10Educational Media
Face-to-face
Computer conferencing
Net Based Learning
Video conferencing
Interaction
Audio conferencing
Radio
Television
Correspondence
Independence of Time and Distance
11Defining Interaction
- Wagners (1994) definition as reciprocal events
that require at least two objects and two
actions. Interactions occur when these objects
and events mutually influence one another(p. 8).
12The Compelling case for Interaction Research
- Interaction associated with
- Student satisfaction (Shea et al. 2001)
- Faculty satisfaction (Hartman, J. L. and
Truman-Davis, B, 2000) - Outcomes (Piccano, 2002)
- Awareness (Langer, 1997)
- Persistence (Coldeway, 1992)
- Cost of delivery (Bates, 1998)
13Functions of Interaction
- allowing for learner control,
- facilitating program adaptation based on learner
input, - Participation and communication building
community - aid to meaningful and personalized learning
- Pacing
- the value of another persons perspective, is a
key learning component in constructivist learning
theories
14Therefore is more interaction always Better??
- No !!
- Some students choose DE as a way to avoid
interaction - Interaction generally costs more than
non-interactive education and is much less
scaleable - there is a very wide range of student need and
preference for different combinations of paced
and un-paced synchronous and asynchronous
activity - strong desire for variety and exposure to
different modes and modularitys of educational
provision and activity
15Educational Interactions
Learner / learner
Learner
Learner / teacher
Learner / content
Teacher
Content
Teacher / content.
Teacher / teacher
Content / content
- Anderson (2002) Equivalency Theorem
16Are Interactions Equivalent?Anderson Equivalency
Theorum
- Sufficient levels of deep and meaningful learning
can be developed as long as one of the three
forms of interaction is at a very high level. The
other two may be offered at minimal levels or
even eliminated without degrading the educational
experience. - High levels of more then one of these three modes
may offer a more satisfying educational
experience, though these experiences will not be
as cost or time effective as less interactive
learning sequences.
17What is a high level of Learning?
- Results in looking at something in a new way
- Addresses learners needs
- Motivates learners to spend time
- Challenges learners to understand their own
learning - Frames understanding in multiple contexts
18Implications of the Interaction Theorem Student
interaction
- Student- teacher interaction currently has the
highest perceived value amongst students and thus
commands highest market value. - student student interaction is critical for
learning designs based upon constructivist
learning theories - Student- student interaction is critical for
collaborative or cooperative tasks. - student-content interaction is most readily
adapted via individualized student portfolios
that can influence design, assessment or delivery
customizations (mass customization).
19Teacher Interaction
- Teacher-student interaction is generally the
least scaleable type of interaction - Teacher-teacher collaboration critical to the
current model of university based research
production and evaluation - Teacher agents can perform many of the functions
that currently consumer teacher time, especially
those of a bookkeeping, clerical or
organizational nature, - Some teacher interaction can be substantiated
into learning objects (videos, animations,
assessment programs etc) thus migrating
student-teacher interaction to student-content
interaction
20Content Interaction
- Content, the most flexible of actors, willing
to undertake any combination and quantity of
interaction. - The cost and restrictions on value of content
interaction is falling much faster then
interaction involving the other two forms of
interaction (Moores and Metcalfes Laws) - Within 20 years computer of power and complexity
of human brain will cost 1000 (Kurzweils Law of
Increasing Returns) - The semantic web provides an environment in which
content can be formalized and manipulated,
stored, searched and computed automatically
through autonomous agent technologies. - The value of the content is dependent on the
extent to which it engages students or teachers
in interaction, leading to knowledge construction
21From Human Interaction to Agent Assisted
Interaction
- Learner Agents
- Scheduling and assisting individual learning
- Knowledge management
Learner
- Teacher Agents
- 24 hour a day assistants
.
Teacher
Content
- Content Agents
- Managing and updating
- Customizing itself to learner needs
6.
22What is an Agent?
- Autonomous
- Goal orientated
- Self starting
- Operates more or less continuously
- Human like personality
- Communicative abilities
- Adaptable
- Mobile or network enabled
- From Thaiupathump, C., Bourne, J., Campbell, O.
(1999).
23Student Agents
- Supports many of the traditional students tasks
of scheduling, searching, editing etc. - Making collaborative work effective in an
anytime/anyplace context - Example I-Help system from University of
Saskatchewan
24http//www.cs.usask.ca/i-help
25Content Agents
- Update and refresh content
- Manage intellectual property rights
- Repair and protect content
- Negotiate with student client to present
appropriate level and context of content
26Teacher Agents
- Marking, managing, tutoring, guiding
coordinating, scheduling - Inserting new content into course web site,
notifying and updating as necessary - Tracking developments in both discipline and
scholarship of teaching - Tutor agents secretarial agents research agents
27Hietala, Pentti. (1996) A prototype for a social
learning system with intelligent
agents http//www.uta.fi/ph/papers/EuroAIED96/nod
e3.html
28BUT.Agents cannot work effectively in an
unstructured domain
29The Semantic Web
- semantic of or relating to meaning
- Term coined by Tim Berners-Lee (inventor of the
WWW) in 1998 - see www.w3c.org or Scientific
America article - Adds structured meanings and organization to the
navigational and formatting structure of the
current web - Goal to make web space understandable and
navigable by both humans and agents - Minimum 10 year project
- Aids locating, accessing, querying, processing
and exchanging data across a distributed
heterogeneous network
30Purpose of the semantic web
- We are forming cells within a global brain and
we are excited that we might start to think
collectively. - However, what becomes of us still hangs crucially
on how we think individually Tim Berners-Lee,
(1997)
31Semantic Web
E-Commerce
Education and Learning
E-Health and Wellness
32The Educational Experience and the Semantic web
- Step one - Learning Objects
33Learning Objects Definition
- Any digital resource that can be reused to
support learning. David Wiley (2000) - Focussed on digitisation, retrieveability, and
re-use.
34Metadata - Function
- Search engines flounder in the mass of
undifferentiated documents that range vastly in
terms of quality, timeliness and relevance. We
need information about information, metadata,
to help us organize it Tim Berners-Lee (1997) - Education objects marked up using metadata such
as IEEE LOM, IMS or CanCore.
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36Moving Beyond Objects to Educational Modelling
Languages
To be re-useable a Shareable Content Object
should be independent of learning context so that
it may be re-used in different learning
experiences SCORM
- How can educational content be decontextualized?
- How can one evaluate an educational object
outside of this context? - Need for a structure, compatible with the
Semantic Web that defines actors, roles,
objectives, evaluation and other components of
educational context
37Educational Modeling Languages
- a semantic rich model and binding describing the
content and processes within units of learning
from a pedagogical perspective CEN/ISS - Most popular developed by Rob Koper at the Open
University of Netherlands - See http//eml.ou.nl
- Basic unit moves from a learning object to the
unit of study - Endorsed by IMS Learning Design Working Group,
May 2002
38Value of EML
- To formally describe and make accessible (on the
semantic web) the events and activity of
education. Such descriptions can then be
searched, formatted and recombined into new
educational activities. - Of immense value in describing and designing
education practice and relating these activities
to formal and evolving theory
39EML Unit of Study Model (Koper, 2001)
40EML expressed as XML (Koper, 2001)
41Conclusion
- Interaction comes in many forms and costs, but is
critical to all forms of education - E-Learning on a semantic web is the long term
future of life long learning - Need active research programs to use the semantic
web to enhance interaction quality especially
student-content formats - Thank you for your time and attention!
Your comments and questions???