A study on the rare itemsets of students' learning effectiveness by using fuzzy data mining
Chen‐Tung Arthur Chen, Kai-Yi Chang · 2016
To increase the learning effectiveness and willingness of students became the most important issue for the Universities in Taiwan. Therefore, we must find the important factors of the learning effectiveness to improve the learn willingness of students. However, it is not easy to measure the learning effectiveness because the subjective judgment of evaluators and the attributes of factors are always fuzzy. In additional, the most learning behaviors of students are normal and easy to find out in the educational data. But, the negative behaviors or the rare learning data are not easily excavated. Therefore, a fuzzy association rules by combining fuzzy set theory with data mining is proposed here to explore the key factors of rare itemsets of learning effectiveness. And then, a case study is implemented to illustrate the computational process of the proposed method. Finally, the conclusions and research directions in the future are discussed at the end of this paper.