Application of componential IRT model for diagnostic test in a standard-conformant eLearning system

Proceedings - Sixth International Conference on Advanced Learning Technologies, ICALT 2006

Volumn 2006, Issue , 2006, Pages 237-241

  Wang, Feng Hsu ^a  

^a MING CHUAN UNIVERSITY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COGNITIVE SYSTEMS; E-LEARNING; INFORMATION ANALYSIS; LEARNING SYSTEMS; STUDENTS;

DIAGNOSIS ALGORITHMS; ITEM RESPONSE THEORY (IRT);

MATHEMATICAL MODELS;

EID: 34247161867     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. S.Y. Cheng, C.S. Lin, H.H. Chen, and J.S. Heh, "Learning and Diagnosis of Individual and Class Conceptual erspectives: an Intelligent Systems Approach Using Clustering Techniques", Computers & Education, 2005 4(3), pp. 257-283.
2. J.C. Chang, C.K. Hsu, Y.Y. Lin, J.S., Heh, "Concept-based Learning Diagnosis and the Application to Distance Testing", Journal of Computer Assisted Learning.
3. L. V. DiBello, W.F. Stout, and L. A. Roussos, "Unified Cognitive/Psychometric Diagnostic Assessment Likelihood-based Classification Techniques". In P. D. Nichols, S. F. Chipman & R. L. Brennan (Eds.) Cognitively Diagnostic Assessment. Hillsdale, NJ: Erlbaum, 1995.
4. C.K. Hsu, J.C. Chang, M. Chang, J.C. Jehng , J. S. Heh, "An Approach for Automatic Learning and Inference by Knowledge Map", Proceedings of the International Conference on Computers in Education, 2002, p.957.
5. G.J. Hwang, C.L. Hsiao and Judy C.R. Tseng, "A Computer-Assisted Approach to Diagnosing Student Learning Problems in Science Courses", Journal of Information Science and Engineering 19, 2003, pp. 229-248.
6. R. Kuo, M. Chang, D.X. Dong, and J.S. Heh, "Applying Knowledge Map to Intelligent Agents in Problem Solving Systems", Proceedings of World Conference on Educational Multimedia, Hypermedia & Telecommunications (ED-Media 2002).
7. F.M. Lord, Applications of item response theory to practical testing problems, Lawrence Erlbaum Associates, Hinsdale, NJ., 1980.
8. F.M. Lord and M. R. Novick, Statistical Theories of Mental Test Scores, Reading, MA: Addison-Wesley, 1968.
9. M. Hoskens and P. D. Boeck, "Multidimensional Componential Item Response Theory Models for Polytomous Items", Applied Psychological Measurement, 25(1), 2001, pp. 19-37.
10. F. Samejima, "A Cognitive Diagnosis Method Using Latent Trait Models: Competency Space Approach and its Relationship with DiBello and Stout's Unified Cognitive-Psychometric Diagnosis Model", In P. D. Nichols, S. F. Chipman & R. L. Brennan (Eds.) Cognitively Diagnostic Assessment. Hillsdale, NJ: Erlbaum, 1995.
11. K.K. Tatsuoka, "Toward an Integration of Item-Response Theory and Cognitive Error Diagnoses", In N. Fredericksen, R. L. Glaser, A. M. Lesgold & M. G. Shafto (Eds), Diagnostic Monitoring of Skill and Knowledge Acquisition. Hillsdale, NJ: Erlbaum, 1990.
12. K.K. Tatsuoka, "Architecture of Knowledge Structures and Cognitive Diagnosis: A Statistical Pattern Recognition and Classification Approach", In P. D.Nichols, S. F. Chipman & R. L. Brennan (Eds.) Cognitively Diagnostic Assessment. Hillsdale, NJ: Erlbaum, 1995.
13. K. VanLehn, Z. Niu, S. Siler, and A. Gertner, "Student Modeling from Conventional Test Data: A Bayesian Approach without Priors", Proceedings of the 4th Intelligent Tutoring Systems ITS'98 Conference. Springer-Verlag Berlin Heidelberg, 1998. pp. 434-443.
14. C. D. Vale, "Linking item parameters onto a common scale", Applied Psychological Measurement, 10, 1986, pp. 333-344.