FUZZY LOGIC APPROACH ON COGNITION DIAGNOSIS WITH APPLICATION ON NUMBER CONCEPT FOR PUPILS

摘要：

The purpose of this research is to provide an integrated methodology of fuzzy logic approach on cognition diagnosis. Based on the item concept matrix of testing data, the integrated methodology could provide individualized knowledge structure and clustering of students. The algorithm of this integrated methodology consists of fuzzy logic model of perception (FLMP), interpretive structural modeling (ISM) and fuzzy clustering. The individualized knowledge structure will clearly display features of knowledge structure for each student Clustering of all students will illustrate the segment of total sample so that students within the same cluster own similar concept structures. Remedial instruction will also become feasible according to the analytic results. An empirical data on number concept for pupils is analyzed and it shows that features of knowledge structures vary with testing score and response patterns.

关键词： Cognition diagnosis Fuzzy theory Knowledge structure

作者: YUAN-HORNG LIN JENG-MING YIH

作者单位: Department of Mathematics Education, National Taichung University, Taiwan

会议类型: 国际会议

会议名称: 2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)

会议地点: 昆明

会议语种:英文

页码: 3575-3580

在线出版日期: 2008-07-12（万方平台首次上网日期，不代表论文的发表时间）