Design of individualizing learning framework with fuzzy expert system and variable learning route model: a case study of UML

  • Authors:

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

  • 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:
  • WSEAS Transactions on Computers
  • Year:
  • 2008

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Abstract

In this paper, we discuss how a fuzzy expert system 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. The 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 the learning model with a simulative example. Unified Modeling Language (UML) is utilized in this paper to describe the structures and behaviors of the proposed framework. Discussion and concluding remarks are finally provided at the end of this paper.