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文章基本信息

  • 标题:Combination of Bidirectional Conceptual Map and Genetic Algorithm for E-Learning Evaluation System
  • 本地全文:下载
  • 作者:Chin-Ling Lee, Cheng-Jian Lin
  • 期刊名称:International Journal of Computer Science and Network Security
  • 印刷版ISSN:1738-7906
  • 出版年度:2006
  • 卷号:6
  • 期号:9A
  • 页码:1-7
  • 出版社:International Journal of Computer Science and Network Security
  • 摘要:This paper mainly proposed an E-learning evaluation system to produce effective test sheets with adaptive difficulty degree and bidirectional concept. Our proposed method utilized the characteristics of optimal genetic algorithm based on a test-sheet generation model. The learner proceeded online measurement by the adoption of a measure model. Results of the measurement will be generated throughout the process of the automation analysis, feedback and recommendation. Then, the results will be feedbacked to the system, tutors and the students. For the students, the system will diagnose and lead the students to appropriate learning concept and progress. For the system, feedback model will adjust the adaptive difficulty degree of learning. For the tutors, the system will guide the tutors in the adjustment of appropriate teaching concept and difficulty degree. The simulation results showed that the proposed method was able produce the optimal test sheet that fit the learning target which helps the learners to penetrate the learning disabilities and increase the learning effectiveness
  • 关键词:E-learning, bidirectional concept, genetic algorithm
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