A category-based framework of a self-improving instructional planner;A category-based framework of a self-improving instructional planner

Transactions of the Japanese Society for Artificial Intelligence

Volumn 21, Issue 1, 2006, Pages 94-102

  Legaspi, Roberto ^a   Sison, Raymund ^b   Numao, Masayuki ^a  

^a OSAKA UNIVERSITY   (Japan)

^b DE LA SALLE UNIVERSITY   (Philippines)

Author keywords

Intelligent tutoring system; Learner categorization; Machine learning; Self improvement

Indexed keywords

EID: 30344473646     PISSN: 13460714     EISSN: 13468030     Source Type: Journal    
DOI: 10.1527/tjsai.21.94     Document Type: Article

References (21)

1. [Arroyo 00] Arroyo, I., Beck, J., Woolf, B., Bcal, C., and Schultz, K.: Macroadapting AnimalWatch to gender and cognitive differences with respect to hint interactivity and symbolism, Lecture Notes in Computer Science, Vol. 1839, pp. 574-583 (2000)
2. [Beck 02] Beck, J.: Directing development effort with simulated students, Lecture Notes in Computer Science, Vol. 2.363, pp. 851-860 (2002)
3. [Brusilovsky 01] Brusilovsky, P., Karagiannidis, C., and Sampson, D.: The benefits of layered evaluation of adaptive applications and services, in 8th International Conference on Ufer Modeling, Workshop on Empirical Evaluations of Adaptive Systems (2001)
4. [Dillenbourg 89] Dillenbourg, P.: The design of a self-improving tutor: PROTOTEG, Instructional Science, Vol. 18, No. 3, pp. 193-216 (1989)
5. [Duchastel 86] Duchastel, P. and Imbeau, J.: Instructible ICAI. in Doc. 86-07 du Laboratoire d'Intelligence Artificielle en Education (1986)
6. [Jonassen 99] Jonassen, D., Tessmer, M., and Hannum, W.: Task analysis methods for instructional design, Mahwah, NJ: Lawrence Earlbaum Associates, Inc. (1999)
7. [Karagiannidis 00] Karagiannidis, C. and Sampson, D.: Layered evaluation of adaptive applications and services, Lecture Notes in Computer Science, Vol. 1892, pp. 343-246 (2000)
8. [Kimball 82] Kimball, R.: A self-improving tutor for symbolic integration, in Sleeman, D. and Brown, J. eds., Intelligent Tutoring Systems, pp. 283-307, Academic Press, London (1982)
9. [MacMillan 87] MacMillan, S. and Sleeman, D.: An architecture for a self-improving instructional planner for intelligent tutoring systems, Computational Intelligence, Vol. 3, pp. 17-27 (1987)
10. [Mark 93] Mark, M. and Greer, J.: Evaluation methodologies for intelligent tutoring systems, International Journal of Artificial Intelligence in Education, Vol. 4, pp. 129-153 (1993)
11. [Mayo 01] Mayo, M. and Mitrovic, A.: Optimising ITS behaviour with Bayesian networks and decision theory, International Journal of Artificial Intelligence in Education, Vol. 12, pp. 124-153 (2001)
12. [O'Shea 79] O'Shea, T.: Self-improving tutoring systems, Birkhauser Verlag, Basel (1979)
13. [Reyes 02a] Reyes, R.: A case-based reasoning approach in designing explicit representation of pedagogical situations in an intelligent tutoring system, PhD thesis, College of Computer Studies, De La Salle University-Manila (2002)
14. [Reyes 02b] Reyes, R. and Sison, R.: Using case-based reasoning approach in planning instructional activities, Lecture Notes in Computer Science, Vol. 2417, pp. 502-511 (2002)
15. [Sison 98] Sison, R. and Shimura, M.: Student modeling and machine learning, International Journal of Artificial Intelligence in Education, Vol. 9, pp. 128-158 (1998)
16. [Sison 00] Sison, R., Numao, M., and Shimura, M.: Multistrategy discovery and detection of novice programming errors, Machine Learning, Vol. 38, pp. 157-180 (2000)
17. [Sutton 98] Sutton, B. and Barto, A.: Reinforcement learning: An introduction, MIT Press, Cambridge, MA (1998)
18. [Talmon 93] Talmon, J., Fonteijn, H., and Braspenning, P.: An analysis of the WITT algorithm, Machine Learning, Vol. 11, pp. 91-104 (1993)
19. [VanLehn 94] VanLehn, K., Ohlsson, S., and Nason, R.: Applications of simulated students: An exploration, International Journal of Artificial Intelligence in Education, Vol. 5, No. 2, pp. 135-175 (1994)
20. [Vassileva 96] Vassileva, J. arid Wasson, B.: Instructional planning approaches: From tutoring towards free learning, in Proceedings of European Conference on Artificial Intelligence in Education, pp. 1-8 (1990)
21. [Watkins 92] Watkins, J. and Dayan, P.: Q-learning, Machine Learning, Vol. 8, pp. 279-292 (1992)