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Personally tailored teaching in WHURLE using conditional transclusion

Personally tailored teaching in WHURLE using conditional transclusion. Adam Moore, Tim Brailsford, Craig Stewart. University of Nottingham. http://whurle.sourceforge.net. Weaknesses of current Technology Based Learning. Proprietary format / clients Weak pedagogic models

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Personally tailored teaching in WHURLE using conditional transclusion

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  1. Personally tailored teaching in WHURLE using conditional transclusion Adam Moore, Tim Brailsford, Craig Stewart University of Nottingham http://whurle.sourceforge.net

  2. Weaknesses of current Technology Based Learning Proprietary format / clients Weak pedagogic models Require technical expertise Static experience

  3. Requirements for an idealised ILE • Pedagogically informed • Adaptive to learner needs • Repurposing of information • Open standards • Usable by IT naïfs - learners and teachers

  4. Web-based Hierarchical Universal Reactive Learning Environment

  5. Designing for adaptability Hierarchies Domain information naturally organized into hierarchies by humans Discrete ‘chunks’ of information Information storage requires discretization Passing of atomistic elements of information Melange System awareness of users Profiles

  6. Conditional transclusion - an approach Virtual document Users’ illusion View over system components Content (chunks) Environment (interface, navigation and links) Default Narrative Lesson plan External linkbase(s)

  7. Delivering dynamic, adaptive teaching material Adaptation Content Presentation Building a profile: Infer Learning styles Ability Inform Preferences

  8. WHURLE System Model User User Virtual Doc. Virtual Doc. Virtual Doc. User UP UP UP UP UP UP=User Profile DN=Default Narrative =Lesson Plan + LinkBase DN DN DN DN DN DN DN DN Melange Assemblage

  9. Current status Chunk ML working draft Linkbases Transclusion - XInclude Preliminary work on adaptation and lesson plans Join us: http://whurle.sourceforge.net

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