The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON COMPUTERS
Transactions ID Number: 89-861
Full Name: Yuan-Horng Lin
Position: Professor
Age: ON
Sex: Male
Address: 5F-3 26 Shanxi 2nd St., Taichung City
Country: TAIWAN
Tel: +886-4-22964011
Tel prefix:
Fax: +886-4-22938698
E-mail address: lyh@mail.ntcu.edu.tw
Other E-mails: lyh@ms3.ntcu.edu.tw
Title of the Paper: Concept Structure based on Response Pattern Detection of S-P Chart with Application in Algebra Learning
Authors as they appear in the Paper: Jeng-Ming Yih, Yuan-Horng Lin
Email addresses of all the authors: yih@mail.ntcu.edu.tw, lyh@mail.ntcu.edu.tw
Number of paper pages: 10
Abstract: The main purpose of this study is to provide an integrated method for personal concept structure analysis. Based on the utility of S-P chart (student problem chart) to deal with classification for learning style, students of different learning style display its own features of concept structure. In this study, S-P chart is used to classify learning styles of students. Concept structure analysis (CSA) could display personalized concept structure. CSA algorithm is the major methodology and its foundation is fuzzy logic model of perception (FLMP) and interpretive structural modeling (ISM). CSA could clearly represent hierarchies and linkage among concepts. Therefore, CSA will be effectively to display features of personal concept structures. In this study, an empirical data for concepts of linear algebra from university students is discussed. The results show that students of varied learning styles own distinct knowledge structures. CSA combined with S-P chart coul!
d be feasible for cognitive diagnosis. According to the findings and results, some suggestions and recommendations for future research are discussed.
Keywords: concept structure, cognitive diagnosis, FLMP, ISM, S-P chart
EXTENSION of the file: .pdf
Special (Invited) Session: Fuzzy Basis on Clustering of Knowledge Structure with Cognition Diagnosis for Algebra Learning
Organizer of the Session: 637-323
How Did you learn about congress: Berlin Wu ( berlin@nccu.edu.tw), Sen-Chi Yu ( rhine@mail.ntcu.edu.tw) , Wen-Liang Hung ( wlhung@mail.nhcue.edu.tw) , Hsiao-Fang Lin (goodlyuna@gmail.com), Shyi-Ching Liang ( scliang@cyut.edu.tw)
IP ADDRESS: 114.38.106.150
