DT tutor: A decision-theoretic, dynamic approach for optimal selection of tutorial actions

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

Volumn 1839, Issue , 2000, Pages 153-162

  Charles Murray, R ^a   VanLehn, Kurt ^a  

^a UNIVERSITY OF PITTSBURGH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CALCULATIONS; COMPUTER AIDED INSTRUCTION; STUDENTS; USER INTERFACES;

DECISION THEORETIC APPROACH; DECISION-THEORETIC; DYNAMIC APPROACHES; DYNAMIC DECISION NETWORK; FOCUS OF ATTENTION; MULTIPLE-OBJECTIVES; OPTIMAL SELECTION; STUDENT MODELING;

PROBLEM SOLVING;

EID: 84944324163     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: None     Document Type: Conference Paper

References (24)

1. Anderson, J. R. (1993). Rules of the Mind. Lawrence Erlbaum Associates.
2. Conati, C., Gertner, A., VanLehn, K., & Druzdzel, M. (1997). On-line student modeling for coached problem solving using Bayesian networks. 6th International Conference on User Modeling, pp. 231-242.
3. Cooper, G. F. (1988). A method for using belief networks as influence diagrams. Workshop on Uncertainty in Artificial Intelligence, pp. 55-63.
4. Cousins, S. B., Chen, W., & Frisse, M. E. (1993). A tutorial introduction to stochastic simulation algorithms for belief networks. AI in Medicine 5, pp. 315-340.
5. del Soldato, T., & du Boulay, B. (1995). Implementation of motivational tactics in tutoring systems. Journal of Artificial Intelligence in Education 6(4), pp. 337-378.
6. Domingos, P., & Pazzani, M. (1997). On the optimality of the simple Bayesian classifier under zero-one loss. Machine Learning 29, pp. 103-130.
7. Graesser, A. C., Person, N. K., & Magliano, J. P. (1995). Collaborative dialogue patterns in naturalistic one-to-one tutoring. Applied Cognitive Psychology 9, pp. 495-522.
8. Henrion, M., Pradhan, M., Del Favero, B., Huang, K., Provan, G., & O'Rorke, P. (1996). Why is diagnosis in belief networks insensitive to imprecision in probabilities? Twelfth Annual Conference on Uncertainty in Artificial Intelligence.
9. Huang, C., & Darwiche, A. (1996). Inference in belief networks: A procedural guide. International Journal of Approximate Reasoning 15, pp. 225-263.
10. Huang, T., Koller, D., Malik, J., Ogasawara, G., Rao, B., Russell, S., & Weber, J. (1994). Automated symbolic traffic scene analysis using belief networks. Twelfth National Conference on Artificial Intelligence, pp. 966-972.
11. Huber, M. J., Durfee, E. H., & Wellman, M. P. (1994). The automated mapping of plans for plan recognition. Tenth Conference on Uncertainty in Artificial Intelligence, pp. 344-350.
12. Jameson, A. (1996). Numerical uncertainty management in user and student modeling: An overview of systems and issues. User Modeling and User-Adapted Interaction 5(3-4), pp. 103-251.
13. Keeney, R., & Raiffa, H. (1976). Decisions with Multiple Objectives. Wiley.
14. Lepper, M. R., Woolverton, M., Mumme, D. L., & Gurtner, J.-L. (1993). Motivational techniques of expert human tutors: Lessons for the design of computer-based tutors. Computers as Cognitive Tools (pp. 75-105). Lawrence Erlbaum Associates.
15. Merrill, D. C., Reiser, B. J., Merrill, S. K., & Landes, S. (1995). Tutoring: Guided learning by doing. Cognition and Instruction 13(3), pp. 315-372.
16. Mislevy, R. J., & Gitomer, D. H. (1996). The role of probability-based inference in an intelligent tutoring system. User Modeling and User-Adapted Interaction 5(3-4).
17. Murray, R. C. (1999). A dynamic, decision-theoretic model of tutorial action selection. Unpublished MS Thesis, University of Pittsburgh. http://www.isp.pitt.edu/~chas/
18. Newell, A., & Simon, H. A. (1972). Human Problem Solving. Prentice-Hall, Inc.
19. Reye, J. (1995). A goal-centred architecture for intelligent tutoring systems. World Conference on Artificial Intelligence in Education, pp. 307-314.
20. Reye, J. (1996). A belief net backbone for student modeling. Intelligent Tutoring Systems, Third International Conference, pp. 596-604.
21. Reye, J. (1998). Two-phase updating of student models based on dynamic belief networks. Fourth International Conference on Intelligent Tutoring Systems, pp. 274-283.
22. Shachter, R. D., & Peot, M. A. (1990). Simulation approaches to general probabilistic inference on belief networks. Uncertainty in Artificial Intelligence, pp. 221-231.
23. Singley, M. K. (1990). The reification of goal structures in a calculus tutor: Effects on problem solving performance. Interactive Learning Environments 1, pp. 102-123.
24. VanLehn, K., Siler, S., Murray, C., Yamauchi, T., & Baggett, W. B. (in press). Human tutoring: Why do only some events cause learning? Cognition and Instruction.