Using planning techniques in intelligent tutoring systems
International Journal of Man-Machine Studies
Principles of artificial intelligence
Principles of artificial intelligence
Self-Adjusting Curriculum Planning in Sherlock II
ICCAL '92 Proceedings of the 4th International Conference on Computer Assisted Learning
Adaptive Tutoring Processes and Mental Plans
ITS '02 Proceedings of the 6th International Conference on Intelligent Tutoring Systems
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Intelligent tutorial planning (ITP) is an important component of intelligent tutorial system (ITS). Models of domain knowledge, models of tutorial methods and models of learner are three key elements of ITS. In this paper, the concept of extended knowledge structure graph (EKSG) is presented. An EKSG integrates models of domain knowledge, models of tutorial methods and models of learner organically. Based on the EKSG, algorithms JUDGE and TPLAN are put forward to resolve ITP problems. The algorithm JUDGE calculates the optimal solution graph when there is a solution, and the algorithm TPLAN calculates optimal tutorial plan based on the solution graph. Both algorithms are proved to be correct, the efficiency of them is also discussed.