ºÝºÝߣ

ºÝºÝߣShare a Scribd company logo

ALEF: A Framework for Adaptive Web-based Learning 2.0

•
•
A
ariquis

The document introduces ALEF, an Adaptive Learning Framework that merges adaptive learning with Web 2.0 concepts. ALEF uses lightweight domain modeling, extensible personalization and adaptation, and supports student active participation. It addresses limitations of previous adaptive learning environments. ALEF's core domain model centers around users, content, annotations, learning objects, concepts, tags, blogs, and comments. It describes two activity flows for learning and creating/collaborating and shows how the user model, semantic logger, inferencer, personalizer, presenter, and content creator work together.

1 of 14
Downloaded 18 times
ALEF: A Framework for Adaptive Web-based Learning 2.0 Marián Šimko, Michal Barla, Mária Bieliková Institute of Informatics and Software Engineering Slovak University of Technology
State-of-the-art • collaborative learning environments – „one size fits all“ – lack personalization • adaptive learning environments – do not leverage emerging Web 2.0 concepts – limited support for collaboration => Adaptive Web-based Learning 2.0
ALEF: A Framework for Adaptive Web-based Learning 2.0
ALEF: A Framework for Adaptive Web-based Learning 2.0
?
Adaptive Web-based Learning 2.0 • principles: – simplified domain modeling – extensible personalization and course adaptation – student active participation in a learning process • addressed by: ALEF: Adaptive LEarning Framework
ALEF domain model core User Content Annotation
ALEF domain model core User Content Annotation Learning Concept Tag object Blog Comment
Two activity flows • Learning • Creating/Collaborating
Learning and Collaborating user model semantic logger inferencer user model presenter personalizer domain model collaborative adaptive content creator
Learning and Collaborating user model semantic logger inferencer user model presenter personalizer domain model collaborative adaptive content creator
Learning and Collaborating user model semantic logger inferencer user model presenter personalizer domain model collaborative adaptive content creator
ALEF: A Framework for Adaptive Web-based Learning 2.0
Conclusions • ALEF = Adaptive LEarning Framework • merging adaptive learning with Web 2.0 concepts • lightweight domain modeling • extensible personalization/adaptation • student active participations support

More Related Content

ALEF: A Framework for Adaptive Web-based Learning 2.0

  • 1. ALEF: A Framework for Adaptive Web-based Learning 2.0 Marián Å imko, Michal Barla, Mária Bieliková Institute of Informatics and Software Engineering Slovak University of Technology
  • 2. State-of-the-art • collaborative learning environments – „one size fits all“ – lack personalization • adaptive learning environments – do not leverage emerging Web 2.0 concepts – limited support for collaboration => Adaptive Web-based Learning 2.0
  • 5. ?
  • 6. Adaptive Web-based Learning 2.0 • principles: – simplified domain modeling – extensible personalization and course adaptation – student active participation in a learning process • addressed by: ALEF: Adaptive LEarning Framework
  • 7. ALEF domain model core User Content Annotation
  • 8. ALEF domain model core User Content Annotation Learning Concept Tag object Blog Comment
  • 9. Two activity flows • Learning • Creating/Collaborating
  • 10. Learning and Collaborating user model semantic logger inferencer user model presenter personalizer domain model collaborative adaptive content creator
  • 11. Learning and Collaborating user model semantic logger inferencer user model presenter personalizer domain model collaborative adaptive content creator
  • 12. Learning and Collaborating user model semantic logger inferencer user model presenter personalizer domain model collaborative adaptive content creator
  • 14. Conclusions • ALEF = Adaptive LEarning Framework • merging adaptive learning with Web 2.0 concepts • lightweight domain modeling • extensible personalization/adaptation • student active participations support