A Study on the Rare Factors Exploration of Learning Effectiveness by Using Fuzzy Data Mining
 
 
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1
National United University
 
2
Department of Information Management, National United University
 
 
Publication date: 2017-06-15
 
 
Corresponding author
Chen-Tung Chen   

National United University, No.1, Lien Da, Kung-Ching Li, Miao-Li 360, Taiwan., 360 Maio-Li, Taiwan
 
 
EURASIA J. Math., Sci Tech. Ed 2017;13(6):2235–2253
 
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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.
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