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Emerging Issues in Distance Education Research and Practice

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Title: Emerging Issues in Distance Education Research and Practice


1
Emerging 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

2
Overview
  • Interaction as compelling research question
  • Example of our work with educational objects
  • Implications for where this fits with the
    emerging educational semantic web

3
Context 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
4
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5
Wayne Gretzky
"Some people skate to the puck. I skate to where
the puck is going to be. 61 NHL records
6
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7
Education is about Interaction
8
Fundamental problem of Distance Education-
Getting the Mix Right
  • Daniel and Marquis (1979) getting the mixture
    right between independent study and interactive
    learning strategies

9
Educational Media
Face-to-face
Computer conferencing
Video conferencing
Interaction
Audio conferencing
Radio
Television
Correspondence/CAL
Independence of Time and Distance
10
Educational Media
Face-to-face
Computer conferencing
Net Based Learning
Video conferencing
Interaction
Audio conferencing
Radio
Television
Correspondence
Independence of Time and Distance
11
Defining 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).

12
The 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)

13
Functions 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

14
Therefore 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

15
Educational Interactions
Learner / learner
Learner
Learner / teacher
Learner / content
Teacher
Content
Teacher / content.
Teacher / teacher
Content / content
  • Anderson (2002) Equivalency Theorem

16
Are 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.

17
What 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

18
Implications 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).

19
Teacher 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

20
Content 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

21
From 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.
22
What 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).

23
Student 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

24
http//www.cs.usask.ca/i-help
25
Content 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

26
Teacher 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

27
Hietala, Pentti. (1996) A prototype for a social
learning system with intelligent
agents http//www.uta.fi/ph/papers/EuroAIED96/nod
e3.html
28
BUT.Agents cannot work effectively in an
unstructured domain
29
The 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

30
Purpose 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)

31
Semantic Web
E-Commerce
Education and Learning
E-Health and Wellness
32
The Educational Experience and the Semantic web
  • Step one - Learning Objects

33
Learning Objects Definition
  • Any digital resource that can be reused to
    support learning. David Wiley (2000)
  • Focussed on digitisation, retrieveability, and
    re-use.

34
Metadata - 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.

35
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36
Moving 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

37
Educational 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

38
Value 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

39
EML Unit of Study Model (Koper, 2001)
40
EML expressed as XML (Koper, 2001)
41
Conclusion
  • 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!

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