Adapting SME Learning Environments for Adaptivity

1
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

2
Outline

• Introduction
• LAOS
• MOT, Content-e, AHA!
• Content-e/LAOS
• Conclusion

3
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

4
LAOS

• domain model (DM)
• goal and constraints model (GM)
• user model (UM)
• presentation model (PM)
• adaptation model (AM)

5
From LAOS layers to adaptive product
6
(No Transcript)
7
(No Transcript)
8
(No Transcript)
9
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

10
(No Transcript)
11
(No Transcript)
12
(No Transcript)
13
(No Transcript)
14
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.

15
Thank you.http//www.stack.nl/angelo/