A Framework for Intelligent Knowledge Sequencing and Task Sequencing
ITS '92 Proceedings of the Second International Conference on Intelligent Tutoring Systems
ELM-ART: An Intelligent Tutoring System on World Wide Web
ITS '96 Proceedings of the Third International Conference on Intelligent Tutoring Systems
Intelligent Guide: Combining User Knowledge Assessment with Pedagogical Guidance
ITS '96 Proceedings of the Third International Conference on Intelligent Tutoring Systems
PRICAI '02 Proceedings of the 7th Pacific Rim International Conference on Artificial Intelligence: Trends in Artificial Intelligence
Adaptive Content in an Online Lecture System
AH '00 Proceedings of the International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems
Adaptivity for Conceptual and Narrative Flow in Hyperbooks: The MetaLinks System
AH '00 Proceedings of the International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems
IDEAL: An Integrated Distributed Environment for Asynchronous Learning
DCW '00 Proceedings of the Third International Workshop on Distributed Communities on the Web
Evaluating the Need for Intelligence in an Adaptive Hypermedia System
ITS '00 Proceedings of the 5th International Conference on Intelligent Tutoring Systems
A Web-Based Intelligent Tutoring System Using Hybrid Rules as Its Representational Basis
ITS '02 Proceedings of the 6th International Conference on Intelligent Tutoring Systems
Towards Open Adaptive Hypermedia
AH '02 Proceedings of the Second International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems
Recommendation Algorithm for Learning Materials That Maximizes Expected Test Scores
PRICAI '08 Proceedings of the 10th Pacific Rim International Conference on Artificial Intelligence: Trends in Artificial Intelligence
Recommendation for English multiple-choice cloze questions based on expected test scores
International Journal of Knowledge-based and Intelligent Engineering Systems
Automated and flexible comparison of course sequencing algorithms in the LS-Lab framework
ITS'10 Proceedings of the 10th international conference on Intelligent Tutoring Systems - Volume Part II
Experience beyond knowledge: Pragmatic e-learning systems design with learning experience
Computers in Human Behavior
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In this paper, we discuss using a student model in a web-based course to sequence the curriculum. Since the teaching in a web-based course is usually non-linear, dynamic curriculum sequencing is important as there is not a linear path that will be appropriate for all students. Thus a student model needs to be constructed which can guide students through the non-linear curriculum. This student model is built on the student's quiz performance and on how well he studies the material. The student model is used to judge how well a topic has been "learned", which can then be used to determine which other topics are ready to be learned. In this paper, we discuss how the student model is constructed and used for curriculum sequencing.