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Student model diagnosis for adaptive instruction in ITS

  • Noboru Matsuda
  • Toshio Okamoto
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 608)

Abstract

This study is intended to investigate the role of the student model in ITS to develop an effective student model for adaptive instruction. We have provided the deeper level student model because just diagnose the problem solving knowledge applied by the student is not sufficient. The deeper level student model consists of diagnostic hypotheses which are able to explain the student's problem solving processes in terms of the domain axioms. In this paper, we discuss an appropriate student model that substantially contributes to adaptive instruction in the domain of problem solving. A hypotheses generating mechanism using the hypothesis-based reasoning is presented.

Keywords

Intelligent Tutor System Exploratory Learning Diagnostic Hypothesis Heuristic Knowledge Knowledge Exploration 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1992

Authors and Affiliations

  • Noboru Matsuda
    • 1
  • Toshio Okamoto
    • 2
  1. 1.Center for CAIKanazawa Institute of TechnologyJapan
  2. 2.Lab. of Systems of Knowledge ProcessingUniversity of Electronics and CommunicationJapan

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