Verification of Prerequisite Relationship among Learning Objects

Authors:
King Kang Tsoi;Vincent To-Yee Ng
Affiliations:
Department of Computing, The Hong Kong Polytechnic University, Hong Kong. cskktsoi@comp.polyu.edu.hk;-
Venue:
Proceedings of the 2005 conference on Towards Sustainable and Scalable Educational Innovations Informed by the Learning Sciences: Sharing Good Practices of Research, Experimentation and Innovation
Year:
2005

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Adaptive Instructional Planning Using Ontologies

ICALT '04 Proceedings of the IEEE International Conference on Advanced Learning Technologies

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Abstract

Many Intelligent Tutoring Systems (ITS) support adaptive navigation according to the prerequisite relationship between the learning materials. This research aims to propose a method so that a system can verify and update the prerequisite relationship. We assume that the prerequisite can improve the learning result or is necessary for the study of the learning object. Prerequisite relationship can be verified by means of the conditional dependence of the passing rate in a learning object with that of its prior learning object. As a result, new learning paths can be formed adaptively to suit for different groups of learners.