Tailoring feedback by correcting student answers

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1839, Issue , 2000, Pages 383-392

  Martin, Brent ^a   Mitrovic, Antonija ^a  

^a UNIVERSITY OF CANTERBURY   (New Zealand)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER AIDED INSTRUCTION; STUDENTS;

CONSTRAINT-BASED MODELS; CORRECT SOLUTION;

INTELLIGENT VEHICLE HIGHWAY SYSTEMS;

EID: 84944320276     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45108-0_42     Document Type: Conference Paper

References (10)

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3. Mayo, M., Mitrovic, A. Estimating Problem Value in an Intelligent Tutoring System using Bayesian Networks. Proc. 12th Australian Joint Conf. on AI, pp. 472-473, Sydney, 1999.
4. Mitrovic, A. Experiences in Implementing Constraint-Based Modeling in SQL-Tutor. Proceedings of ITS'98, pp. 414-423.
5. Mitrovic, A. and Ohlsson, S. Evaluation of a Constraint-Based Tutor for a Database Language. International Journal of Artificial Intelligence in Education, 1999.
6. Ohlsson, S. & Rees, E. The function of conceptual understanding in the learning of arithmetic procedures. Cognition & Instruction, 8. pp 103-179, 1991.
7. Ohlsson, S.: Constraint-Based Student Modeling. Student Modeling: The Key to Individualized Knowledge-Based Instruction. pp 167-189, Springer-Verlag, 1994.
8. Ohlsson, S. Learning from Performance Errors. Psychological Review, Vol 3. No 2, 241-262, 1996
9. Sammut, C. and Banerji, R.B.: Learning concepts by asking questions. Machine Learning: An Artificial Intelligence Approach, volume 2, 1986, Morgan Kaufmann, San Mateo, CA
10. Self, J. A. Bypassing the Intractable Problem of Student Modeling. In Intelligent Tutoring Systems: At the Crossroads of Artificial Intelligence and Education, C. Frasson and G. Gauthier, eds, pp 107-123, Ablex Publishing Corporation 1990