Adapting SME Learning Environments for Adaptivity

ICALT06 – Adaptivity in Learning Systems, Kerkrade, 5th of July, 2006

TU/e eindhoven university of technology

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)



Converter

GM

AM

UM

DM

PM

Content-e or MOT

Text Editor

CAF

LAG

AHA! course

From LAOS layers to adaptive product









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.



Thank you.

http://www.stack.nl/~angelo/

Documents

Adapting SME Learning Environments for Adaptivity