Individualizing learning using fuzzy expert system and variable learning route model

  • Authors:

  • Che-Chern Lin;Chin-Chih Lin;Shen-Chien Chen

  • Affiliations:

  • Department of Industrial Technology Education, National Kaohsiung Normal University, Taiwan;Department of Industrial Technology Education, National Kaohsiung Normal University, Taiwan;Department of Industrial Technology Education, National Kaohsiung Normal University, Taiwan

  • Venue:
  • ICCOMP'08 Proceedings of the 12th WSEAS international conference on Computers
  • Year:
  • 2008

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Abstract

Recently with the rapid development in information technologies, artificial intelligence techniques have been widely applied in many fields. In this paper, we discuss how a fuzzy expert system, an artificial intelligence technique, is utilized in education. We present a conceptual framework for designing individualizing learning materials using a fuzzy expert system and a variable learning route model. The framework can help teachers to design their customized teaching materials for individual students based on the academic achievements of the students. In the framework, we first use pre-assessment to evaluate the students' academic achievements. The fuzzy expert system is then used to select suitable learning material for the students according to their academic achievements. Variable learning route model serves to determine the adaptive learning paths for the students based on the results of the fuzzy expert system. We introduce the concepts of learning model. We also explain how a fuzzy system is used to solve uncertainty problems. Finally, we present a simulation and draw the concluding remarks at the end of the paper.