ITS domain modelling with ontology

Journal of Universal Computer Science

Volumn 14, Issue 17, 2008, Pages 2758-2776

  Martin, Brent ^a   Mitrovic, Antonija ^a   Suraweera, Pramuditha ^b  

^a UNIVERSITY OF CANTERBURY   (New Zealand)

^b Carnegie Learning Inc   (United States)

Author keywords

Authoring systems; Constraint based modeling; Domain models; Intelligent tutoring systems; Ontology

Indexed keywords

EID: 61849162190     PISSN: 0958695X     EISSN: 09486968     Source Type: Journal    
DOI: None     Document Type: Article

References (25)

1. Ainsworth, S. E., Grimshaw, S.: Evaluating the REDEEM Authoring Tool: Can Teachers Create Effective Learning Environments? International Journal of Artificial Intelligence in Education 14(3): 279-312.
2. Anderson, J. R., Corbett, A. T., Koedinger, K.R., Pelletier, R.: Cognitive Tutors: Lessons Learned. Journal of the Learning Sciences 4(2): 167-207.
3. Baghaei, N., Mitrovic, A.: A Constraint-based Collaborative Environment for Learning UML Class Diagrams, In Proc. ITS2006, Taiwan, 2006, 176-186.
4. Barros, B., Mizoguchi, R., Verdejo, M. F.: A platform for collaboration analysis in CSCL. An ontological approach, In Proc. Tenth international conference on Artificial Intelligence in Education, San Antonio, USA, 2001, 530-532.
5. Dimitrova, V.: STyLE-OLM: Interactive Open Learner Modelling. International Journal of Artificial Intelligence in Education 13: 35-78.
6. http://allegroserve.sourceforge.net/
7. Harrer, A., McLaren, B. M., Walker, E., Bollen, L., Sewall, J.: Creating Cognitive Tutors for Collaborative Learning: Steps Toward Realization. User Modeling and User-Adapted Interaction 16: 175-209.
8. Knublauch, H., Fergerson, R. W., Noy, N.F., Musen, M.A.: The Protégé OWL Plugin: An Open Development Environment for Semantic Web Applications, In Proc. Third International Semantic Web Conference, Hiroshima, Japan, 2004.
9. Koedinger, K. R., Anderson, J. R., Hadley, W.H., Mark, M.A.: Intelligent Tutoring Goes To School in the Big City. International Journal of Artificial Intelligence in Education 8: 30-43.
10. Koedinger, K. R., Aleven, V., Heffernan, N., McLaren, B., Hockenberry, M.: Opening the Door to Non-programmers: Authoring Intelligent Tutor Behavior by Demonstration, In Proc. 7th Int. Conf. Intelligent Tutoring Systems, Maceio, Brazil, 2004, 162-174.
11. Martin, B., Mitrovic, A.: Tailoring Feedback by Correcting Student Answers, In Proc. Fifth International Conference on Intelligent Tutoring Systems, Montreal, 2000, 383-392.
12. Martin, B., Mitrovic, A.: Authoring web-based tutoring systems with WETAS, In Proc. International conference on computers in education, Auckland, 2002, 183-187.
13. Martin, B. Mitrovic, A.: Automatic Problem Generation in Constraint-Based Tutors, In Proc. Sixth International Conference on Intelligent Tutoring Systems, Biarritz, 2002, 388-398.
14. Martin, B. Mitrovic, A.: WETAS: A Web-Based Authoring System for Constraint-Based ITS, In Proc. Second International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems, Malaga, 2002, 543-546.
15. Martin, B., Mitrovic, A.: ITS Domain Modelling: Art or Science?, In Proc. International Conference on Artificial Intelligence in Education, AIED2003, Sydney, Australia, 2003, 183-190.
16. Mitrovic, A., Ohlsson, S.: Evaluation of a Constraint-Based Tutor for a Database Language. International Journal of Artificial Intelligence in Education 10: 238-256.
17. Mitrovic, A., Koedinger, K. R., Martin, B.: A Comparative Analysis of Cognitive Tutoring and Constraint-Based Modelling, In Proc. Ninth International Conference on User Modeling UM 2003, 2003, 313-322.
18. Mitrovic, A.: Large-Scale Deployment of three intelligent web-based database tutors, In Proc. Proceedings of ITI, Cavtat, Croatia, 2006, 135-140.
19. Mitrovic, A., Suraweera, P., Martin, B., Zakharov, K., Milik, N., Holland, J.: Authoring constraint-based tutors in ASPIRE, In Proc. ITS 2006, Taiwan, 2006, 41-50.
20. Mizoguchi, R., Bourdeau, J.: Using Ontological Engineering to Overcome Common AI-ED Problems. International Journal of Artificial Intelligence in Education 11: 107-121.
21. Murray, T.: Expanding the Knowledge Acquisition Bottleneck for Intelligent Tutoring Systems. International Journal of Artificial Intelligence in Education 8: 222-232.
22. Ohlsson, S.: Constraint-Based Student Modeling. Student Modeling: The Key to Individualized Knowledge-Based Instruction. J. Greer and G. McCalla. New York, Springer-Verlag: 167-189.
23. Ohlsson, S.: Learning from Performance Errors. Psychological Review 3(2): 241-262.
24. Puerta, A. R., Musen, M.: A multiple-method knowledge acquisition shell for the automatic generation of knowledge-acquisition tools. Knowledge Acquisition 4: 171-196.
25. Soller, A., Lesgold, A.: A Computational Approach to Analyzing Online Knowledge Sharing Interaction, In Proc. 11th international conference on Artificial Intelligence in Education, Sydney Australia, 2003, 253-260.