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Study of Features of Problem Group and Prediction of Understanding Level

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4252))

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Abstract

In the previous works, we have developed Web education system using the dynamically changing three layered learning materials and estimation method of understanding level to maintain the eagerness for self learning by changing learning material based on the understanding level. In those studies, the ratio of correct answers was used directly to estimate understanding level. In this study, we developed an understanding level judging system based on the two parameter logistic function obtained from a cumulative frequency distribution and Fuzzy membership functions based on response time and number of explanation referred.

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Author information

Authors and Affiliations

  1. Chubu University, 1200 Matsumoto-Cho, Kasugai, Aichi, 487-8501, Japan

    Yoshinori Adachi, Masahiro Ozaki & Yuji Iwahori

Authors
  1. Yoshinori Adachi
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  2. Masahiro Ozaki
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  3. Yuji Iwahori
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Editor information

Editors and Affiliations

  1. School of Design, Engineering and Computing, Bournemouth University, UK

    Bogdan Gabrys

  2. Centre for SMART Systems, School of Environment and Technology, University of Brighton, BN2 4GJ, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, SA, 5095, Mawson Lakes, Australia

    Lakhmi C. Jain

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© 2006 Springer-Verlag Berlin Heidelberg

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Adachi, Y., Ozaki, M., Iwahori, Y. (2006). Study of Features of Problem Group and Prediction of Understanding Level. In: Gabrys, B., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2006. Lecture Notes in Computer Science(), vol 4252. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11893004_149

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  • DOI: https://doi.org/10.1007/11893004_149

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-46537-9

  • Online ISBN: 978-3-540-46539-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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