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E-Learning Application Requirements
Kevin Keenoy, Birkbeck, Part I
Don Peterson, Institute of Education, Part II
SeLeNe Startup Meeting, Crete, November 2002
2
Part I:
Learning Objects and Metadata Standards
SeLeNe Startup Meeting, Crete, November 2002
3
What is a Learning Object?
• The most general definition is very broad - “anything that can be referenced during technology supported learning”
• This includes everything that has ever existed in the history of the world!
• An important subset for SeLeNe is re-usable components of courses.
SeLeNe Startup Meeting, Crete, November 2002
4
Working Definition of Learning Objects
• May be useful to define a more specific usage of the term for within SeLeNe:Electronic, sharable ‘chunks’ of re-usable learning content, available on the Web.
• These are the kind of thing that the metadata we plan to deal with will generally describe.
SeLeNe Startup Meeting, Crete, November 2002
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Existing Metadata Standards• The Dublin Core (more general)
– Metadata standards for a wide range of domains.– Good basis of ‘core’ elements applicable to any
internet-based object.• IEEE LOM (more educational)
– Builds on Dublin Core– Basis of many other Learning Object Metadata
specifications.– Basis of SeLeNe metadata?
SeLeNe Startup Meeting, Crete, November 2002
6
User Profiles
• Some existing standards for user profiles:– vCard (electronic business card information)– IEEE PAPI (Personal And Private Information)– IMS LIP (Learner Information Package)– Universal Learning Format
SeLeNe Startup Meeting, Crete, November 2002
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Some Current Metadata Activities
• ARIADNE & IMS– These recommendations formed the basis of IEEE
LOM specifications.– Now promote their own metadata specifications, based
on LOM.
• CEN/ISSS LT– European Committee for Standardisation– Interested in multi-lingual IEEE LOM, and setting up
an e-Learning Technology Standards Observatory.
SeLeNe Startup Meeting, Crete, November 2002
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E-Learning: User Expectations and Requirements
• Very little requirements analysis for e-learning systems is available.
• Advice tends to be anecdotal and focused on web-design principles (ergonomics)
• We need: – personalised search over LO’s – theoretical models which bridge learning theory
(pedagogy) to this requirement.
SeLeNe Startup Meeting, Crete, November 2002
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Part II:
Learning Theoryand
Application Requirements
SeLeNe Startup Meeting, Crete, November 2002
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Theories of Learning
• Anamnesis (Plato)• Behaviourism (Skinner)• Cognitivism (Piaget)• Constructivism (Pappert)• Assisted (Vygotsky)• Experiential (Kolb)• Trail based (Bush)• Ampliative (Levene & Peterson)
SeLeNe Startup Meeting, Crete, November 2002
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Assisted Learning I(Vygotsky)
• Learner + assistant (parent, teacher etc) => performance
• The assistant is a guide to action (not a source of knowledge)
• Gradually the learner internalises the contribution of the assistant
• This is the ‘zone of proximal development’
SeLeNe Startup Meeting, Crete, November 2002
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Assisted Learning II
learner
assistant
performance
SeLeNe Startup Meeting, Crete, November 2002
13
Assisted Learning III
Requirements on the assistant:
• Adaptive
• Personalised
• Informed by a trusted community
• Monitored by a trusted community
SeLeNe Startup Meeting, Crete, November 2002
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Ampliative Learning I(Levene and Peterson 2002)
• We learn not isolated facts but trails of learning objects (cf Bush)
• E.g. in museums, libraries, or any space of learning objects
• A trail has 2 aspects: – a navigation history– a cognitive structure (cf schemas in Piaget,
Bartlett)
SeLeNe Startup Meeting, Crete, November 2002
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Ampliative Learning II
• In phase 1, we acquire a trail
• In phase 2, we expand, refine and personalise it (ampliative learning)
• In phase 3, we return again to the original experiences (cf Kolb)
SeLeNe Startup Meeting, Crete, November 2002
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Ampliative Learning III
Requirements on support:
• Representation of trails
• Storage, retrieval, editing of trails
• Assistance in expanding and refining trails
SeLeNe Startup Meeting, Crete, November 2002
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SynthesisThese frameworks combine to identify a
particular need --- assisted ampliative learning.
learner
assistant
performance = trail refinement
SeLeNe Startup Meeting, Crete, November 2002
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System Requirements
adaptive, personalised, community-based support for expansion and refinement
of trails of learning objects
user needs + profile + metadata => filtered search through LO’s =>
support for assisted ampliative learning.
SeLeNe Startup Meeting, Crete, November 2002
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Design Contexts
• Cognitive load --- support in an Age of Complexity (Reeves, Barnett)
• EU Integration --- use of LO’s across national, curriculum and other boundaries
• Re-enchantment --- the arts (meaning, understanding, interpretation), and perspectival technologies (cf Snow).
End.