Towards Learning Knowledge Objects

Authors:
Amal Zouaq;Roger Nkambou;Claude Frasson
Affiliations:
University of Montreal, CP 6128, Succ. Centre-Ville, Montreal, QC, H3C3J7, {zouaq, frasson}@iro.umontreal.ca;UQAM, CP 8888, Succ. Centre-Ville, Montreal, QC, H3C3P8, nkambou.roger@uqam.com;University of Montreal, CP 6128, Succ. Centre-Ville, Montreal, QC, H3C3J7, {zouaq, frasson}@iro.umontreal.ca
Venue:
Proceedings of the 2007 conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work
Year:
2007

Citing 2
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Abstract

In this paper, we present an ontology-based approach, The Knowledge Puzzle approach, that aims to exploit principles from the AIED and Intelligent Tutoring Systems fields to produce e-Learning resources more tailored to learner's needs. We present a semi-automatic process to annotate learning material from different points of view: domain, structural and pedagogical. We then use this knowledge to generate dynamically learning knowledge objects based on instructional theories.