Instruction Structure Analysis Appling Fuzzy Number

Seiji Saito, Takenobu Takizawa

2016

Abstract

Applying fuzzy clustering method to the instruction structure analysis, we can investigate whether the order of teaching item is suitable or not. However, when the teacher gives learners partial points, it is difficult to judge whether the leaner solve the problem correctly or not. In this paper, the authors regard the score of the test as the fuzzy number, and present a new analysis method using fuzzy number. We show some graphs required for analysis based on the results of examination for high school students and represent the effectivity of the method.

References

  1. Yamashita H. and Takizawa T. and more: “Introduction to Fuzzy Theory and Its Application”, Kyoritsu Shuppan, 2010 (in Japanese).
  2. Tsuda, E., Yamashita, H., and Nagashima, K.: “Opinion Survey Applying Fuzzy Graph”, Proceedings of the 22nd Annual Conference of Biomedical Fuzzy System Association, pp.127 - 130, 2009.
  3. Uesu H.: “Student's Needs Analysis Applying Type-2 Fuzzy Contingency Table for Media Lectures”, Proceedings of the 28th Annual Conference of Biomedical Fuzzy Systems Association, pp.293 - 296, 2015.
  4. Saito S., Takizawa T.: “Instruction Structure Analysis of High School Mathematics Applying Fuzzy Clustering”, Proceedings of the 28th Annual Conference of Biomedical Fuzzy Systems Association, pp.183 - 186, 2015.
  5. Saito S., Takizawa T.: “Structure Analysis of Instruction Items Appling Fuzzy Number”, Proceedings of The International Symposium on Information Theory and Its Applications 2016. (forthcoming).
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Paper Citation


in Harvard Style

Saito S. and Takizawa T. (2016). Instruction Structure Analysis Appling Fuzzy Number . In Proceedings of the 8th International Joint Conference on Computational Intelligence - Volume 2: FCTA, (IJCCI 2016) ISBN 978-989-758-201-1, pages 88-92. DOI: 10.5220/0006050200880092


in Bibtex Style

@conference{fcta16,
author={Seiji Saito and Takenobu Takizawa},
title={Instruction Structure Analysis Appling Fuzzy Number},
booktitle={Proceedings of the 8th International Joint Conference on Computational Intelligence - Volume 2: FCTA, (IJCCI 2016)},
year={2016},
pages={88-92},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006050200880092},
isbn={978-989-758-201-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 8th International Joint Conference on Computational Intelligence - Volume 2: FCTA, (IJCCI 2016)
TI - Instruction Structure Analysis Appling Fuzzy Number
SN - 978-989-758-201-1
AU - Saito S.
AU - Takizawa T.
PY - 2016
SP - 88
EP - 92
DO - 10.5220/0006050200880092