Designing intelligent tutoring systems: Bayesian approach

ICEIS 2001 - Proceedings of the 3rd International Conference on Enterprise Information Systems

Volumn 1, Issue , 2001, Pages 452-458

  Gamboa, Hugo ^a   Fred, Ana ^b  

^a INSTITUTO POLITÉCNICO DE SETÚBAL   (Portugal)

^b INSTITUTO SUPERIOR TÉCNICO   (Portugal)

Author keywords

Bayesian networks; e learning; Intelligent tutoring systems

Indexed keywords

COMPUTER AIDED INSTRUCTION; E-LEARNING; EDUCATION COMPUTING; INFORMATION SYSTEMS; KNOWLEDGE BASED SYSTEMS; NETWORK ARCHITECTURE; TEACHING;

ADAPTATION MODULE; BAYESIAN APPROACHES; DESIGN MODELING; DOMAIN KNOWLEDGE; E-LEARNING TOOL; INTELLIGENT TUTORING SYSTEM; PEDAGOGICAL MODULE; PROPOSED ARCHITECTURES;

BAYESIAN NETWORKS;

EID: 84973639280     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (22)

1. Beck, J.; Stern, M.; and Haugsjaa, E. 1996. Applications of AI in Education. In Proceedings of the Third International Conference on Intelligent Tutoring Systems.
2. Bennett, F. 1997. Computers as Tutors: Solving the Crisis in Education. First Monday. http://www.firstmonday.dk/issues/issue6/intro/index.html.
3. Brusilovsky, P.; Schwarz, E.; and Weber, G. 1996. Elm-art: an intelligent tutoring system on world wide web. In C. Frasson, G. Gutier, A. L., ed., Intelligent Tutoring Systems, ITS'96, pp. 261-269.
4. Buchanan, B. G., and Shortliffe, E. H. 1985. Rule-Based Expert Systems: The MYCIN Experiments of the Stanford Heuristic Programming Project. Addison-Wesley.
5. Burns, H. L., and Capps, C. G. 1988. Foundations of Intelligent Tutoring Systems. In Polson, M. C., and Richardson, J. J., eds., Foundations of Intelligent Tutoring Systems. Lawrence Erlbaum Associates. chapter 3, 55-78.
6. Cozman, F. 1998. Javabayes version 0.34, bayesian networks in java usermanual. http://www.cs.cmu.edu/fgcozman/home.html.
7. Dechter, R. 1996. Bucket elimination: a unifying framework for several probabilistic inference algoritms. In Twelfth Annual Conference on Uncertainity in Artificial Inteligence.
8. Fleming, J. L., and Horwitz, C. 1996. Applications of the Rapid Intelligent Tutoring System Development Shell (RIDES). In ITS'96 Workshop on Architectures and Methods for Designing Cost-Effective and Reusable ITSs.
9. Frölich, P., and Nejdl, W. 1997. A Database-Oriented Approach to the Design of Educational Hyperbooks. In Proceedings of the workshop: Intelligent Educational Systems on the World Wib Web, 8th World Conference of the AIED Soceiety.
10. Fred, A. 1994. Expert systems: Conceptual, methodological and management aspects. Technical Report Project HC 1014, European Neurological Network.
11. Frey, B. 1998. Graphical Models for Machine Learning and Digital Communication. MIT Press.
12. Jensen, F. 1997. An Introduction to Bayesian Networks. Springer.
13. Murray, T. 1999. Authoring intelligent tutoring systems: An analysis of the state of the art. International Journal of Artificial Intelligence in Education 10: pp. 98-129.
14. Nilson, N. 1998. Artificial Intelligence: A New Synthesis. Morgan Kaufmann.
15. Pearl, J. 1998. Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. Morgan Kaufmann.
16. Russel, S., and Norvig, P. 1995. Artificial Intelligence: a modern approach. Prentice Hall.
17. Schulze, K. G.; Shelby, R. N.; Treacy, D. J.; Wintersgill, M. C.; Vanlehn, K.; and Gertner, A. 2000. Andes: An intelligent tutor for classical physics. The Journal of Electronic Publishing, University of Michigan Press. http://www.press.umich.edu/jep/06-01/schulze.html.
18. Ubell, R. 2000. Engineers turn to e-learning. IEEE Spectrum 37(10): pp. 59-63.
19. Urban-Lurain, M. 1996. Intelligent tutoring systems, an historic review in the context of the development of artificial inteligence and educational psychology. Technical report, Department of Computer Science and Engineering, Michigan State University. http://aral.cse.msu.edu/Publications/ITS/its.htm.
20. VanLehn, K.; Niu, Z.; Siler, S.; and Gertner, A. 1998. Student modeling from convencional test data: A bayesian approach without priors. In Goettl, B. P.; Halff, H. M.; edfield, C. L.; and Shute, V. J., eds., Intelligent Tutoring Systems, 4th International Conference, ITS'98, volume 1452. Springer.
21. VanLehn, K. 1988. Student Modeling. In Polson, M. C., and Richardson, J. J., eds., Foundations of Intelligent Tutoring Systems. Lawrence Erlbaum Associates. chapter 3, 55-78.
22. Zimmerman, H. J. 1991. Fuzzy Set Theory. Kluwer, 2nd edition.