A Study on the Rare Factors Exploration of Learning Effectiveness by Using Fuzzy Data Mining
-Tung Chen 1 * , Kai-Yi Chang 2
More Detail
1 National United University
2 Department of Information Management, National United University
* Corresponding Author

Abstract

The phenomenon of low fertility has been negative impacted on the social structure of the educational environment in Taiwan. To increase the learning effectiveness of students became the most important issue for the Universities in Taiwan. Due to the subjective judgment of evaluators and the attributes of influenced factors are always fuzzy, it is not easy to measure the learning effectiveness by using the crisp values for the qualitative factors. In additional, the negative behaviors or the infrequent learning data (rare itemsets) cannot easily excavate from educational database. Therefore, a systematic mining method is proposed here by combining fuzzy set theory with data mining technology to explore the key factors of learning effectiveness from the infrequent data. A case study implemented in this paper and showed that the proposed method can effectively find the important factors and valuable patterns from the survey data. The results of this paper can provide the important information for teachers to help students to increase the learning effectiveness. Finally, the conclusions are addressed at the end of this paper.

License

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Article Type: Research Article

https://doi.org/10.12973/eurasia.2017.01223a

EURASIA J Math Sci Tech Ed, 2017 - Volume 13 Issue 6, pp. 2235-2253

Publication date: 15 Jun 2017

Article Views: 670

Article Downloads: 335

Open Access References How to cite this article