A personalized courseware recommendation system based on fuzzy item response theory

Proceedings - 2004 IEEE International Conference on e-Technology, e-Commerce and e-Service, EEE 2004

Volumn , Issue , 2004, Pages 305-308

  Chen, Chih Ming ^a   Duh, Ling Jiun ^b   Liu, Chao Yu ^a  

^a National Hualien Teachers College   (Taiwan)

^b NATIONAL TAIWAN NORMAL UNIVERSITY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; DATABASE SYSTEMS; ELECTRONIC COMMERCE; FUNCTIONS; FUZZY SETS; INTELLIGENT AGENTS; MATHEMATICAL MODELS; PROBABILITY;

BAYESIAN ESTIMATION; COURSEWARE; FEEDBACK AGENTS; FUZZY ITEM RESPONSE THEORY (FIRT);

LEARNING SYSTEMS;

EID: 4544325273     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. Brusilovsky P., "Adaptive and Intelligent Technologies for Web-based Education," In Rollinger, C.; Peylo, C. (eds.), Special Issue on Intelligent Systems and Teleteaching, Künstliche Intelligenz, vol. 4, pp. 19-25, 1999.
2. Kyparisia A. Papanikolaou and Maria Grigoriadou, "Towards New Forms of Knowledge Communication: the Adaptive Dimensions of a Web-based Learning Environment," Computers & Education, vol. 39, pp. 333-360, 2002.
3. Myung-Geun Lee, "Profiling Students' Adaptation Styles in Web-based Learning," Computers & Education, vol. 36, pp. 121-132, 2001.
4. Mobasher B., Cooley R., Srivastava J., "Automatic Personalization Based on Web Usage Mining," Communications of the ACM, vol. 43, no. 8, pp. 142-151, August 2000.
5. Balabanovic M., Shoham Y., "Fab: Content-based, Collaborative Recommendation," Communications of the ACM, vol. 40, no. 3, pp. 66-72, March 1997.
6. Baker and Frank B., Item Response Theory: Parameter Estimation Techniques, New York: Marcel Dekker, 1992.