ADVISOR: A Machine Learning Architecture for Intelligent Tutor Construction

Proceedings of the 17th National Conference on Artificial Intelligence and 12th Conference on Innovative Applications of Artificial Intelligence, AAAI 2000

Volumn , Issue , 2000, Pages 552-557

  Beck, Joseph E ^a   Woolf, Beverly Park ^a   Beal, Carole R ^b  

^a University of Massachusetts Amherst   (United States)

^b UNIVERSITY OF MASSACHUSETTS   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARCHITECTURE; COMPUTER AIDED INSTRUCTION; EDUCATION COMPUTING; INTELLIGENT AGENTS; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; REINFORCEMENT LEARNING; TEACHING;

CUSTOMISATION; EDUCATIONAL OBJECTIVES; INTELLIGENT TUTORING; INTELLIGENT TUTORS; LEARNING ARCHITECTURES; MACHINE-LEARNING; SINGLE COMPONENTS; STUDENTS' BEHAVIORS; TUTORING SYSTEM; TWO AGENTS;

STUDENTS;

EID: 85077012858     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

1. Arroyo, I.; Beck, J. E.; Schultz, K.; and Woolf. 1999. Piagetian psychology in intelligent tutoring systems. In Proceedings of the Ninth International Conference on Artificial Intelligence in Education.
2. Baffes, P., and Mooney, R. 1996. A novel application of theory refinement to student modeling. In Proceedings of American Association for Artificial Intelligence, 403-408.
3. Beck, J. E., and Woolf, B. P. 1998. Using a learning agent with a student model. In Proceedings Fourth International Conference on Intelligent Tutoring Systems, 6-15.
4. Beller, M., and Gafni, N. 1996. The 1991 international assessment of educational progress in mathematics and sciences: The gender differences perspective. Journal of Educational Psychology 88:365-377.
5. Bloom, C. P. 1996. Promoting the transfer of adanced training technologies. In Frasson, C.; Gauthier, G.; and Lesgold, A., eds., Proceedings of Third International Conference on Intelligent Tutoring Systems, 1-10. Springer.
6. Burton, R. 1982. Diagnosing bugs in a simple procedural skill. In Sleeman, and Brown., eds., Intelligent Tutoring Systems, 157-182. Academic Press.
7. Chiu, B. C., and Webb, G. I. 1998. Using decision trees for agent modeling: Improving prediction performance. User Modeling and User Adapted Interaction 8(1-2):131-152.
8. Conati, C.; Gertner, A.; VanLehn, K.; and Druzdel, M. 1997. On-line student modeling for coached problem solving using bayesian networks. In Proceedings of the Seventh International Conference on User Modeling, 231-242.
9. Crites, R., and Barto, A. 1998. Elevator group control using multiple reinforcement learning agents. Machine Learning 33:235-262.
10. Gertner, A. S.; Conati, C.; and VanLehn, K. 1998. Procedural help in ANDES: Generating hints using a Bayesian network student model. In Fifteenth National Conference on Artificial Intelligence, 106-111.
11. Sutton, R., and Barto, A. 1998. An Introduction to Reinforcement Learning. MIT Press.
12. Tesauro, G. 1995. Temporal difference learning and TD-Gammon. Communications of the ACM 38(3).
13. VanLehn, K.; Ohlsson, S.; and Nason, R. 1994. Applications of simulated students: An exploration. Journal of Artificial Intelligence in Education 5(2):135-175.