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Adapting SME Learning Environments for Adaptivity. Angelo Wentzler, Alexandra Cristea, Egbert Heuvelman and Paul De Bra Information System Department, Faculty of Mathematics and Computing Science Eindhoven University of Technology. Outline. Introduction LAOS MOT, Content-e, AHA!
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Adapting SME Learning Environments for Adaptivity Angelo Wentzler, Alexandra Cristea, Egbert Heuvelman and Paul De Bra Information System Department, Faculty of Mathematics and Computing Science Eindhoven University of Technology
Outline • Introduction • LAOS • MOT, Content-e, AHA! • Content-e/LAOS • Conclusion
Motivation • There is a serious need of personalization and adaptation in commercial environments • AEH can provide a systematic framework • Our work is one of the first attempts of marrying the two worlds: commercial & AEH
LAOS • domain model (DM) • goal and constraints model (GM) • user model (UM) • presentation model (PM) • adaptation model (AM)
Content-e/LAOS • Equivalent to MOT, functioning in C-e • Extend functionality • Improve UI How: • New Concept / Goal map content-types • Import / publish CAF • Use AHA! for delivery
Conclusion • MOT was viewed as more stable, while C-e/LAOS was more appealing • More specific/limited is appreciated over flexible/complex • MOT: functional (SUS), C-e/LAOS: overall impression (specific questionnaire) • C-e/LAOS: higher learning threshold; might in the long run be more appreciated for its extra options. • This work represents one of the first attempts to systematically create an authoring environment for personalized learning in a commercial setting, therefore adapting commercial learning environments for adaptivity.
