Widening the knowledge acquisition bottleneck for constraint-based tutors

International Journal of Artificial Intelligence in Education

Volumn 20, Issue 2, 2010, Pages 137-173

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

^a UNIVERSITY OF CANTERBURY   (New Zealand)

Author keywords

Authoring systems; constraint based ITSs; domain model authoring; evaluation

Indexed keywords

EID: 78650287759     PISSN: 15604292     EISSN: None     Source Type: Journal    
DOI: 10.3233/JAI-2010-0005     Document Type: Article

References (36)

1. Altova - XML, Data Management, UML, and Web Services Tools, http://www.altova.com, 2005.
2. Aleven, V., McLaren, B., Sewall, J., and Koedinger, K., The Cognitive Tutor Authoring Tools (CTAT): Preliminary Evaluation of Efficiency Gains, in Intelligent Tutoring Systems 2006, Taiwan, 2006, pp. 61-70.
3. Angros, R., Johnson, W. L., Rickel, J., and Scholer, A., Learning Domain Knowledge for Teaching Procedural Skills, in First Int. joint conference on Autonomous agents and multiagent systems, Bologna, Italy, 2002, pp. 1372-1378.
4. Bechhofer, S., Horrocks, I., Goble, C., and Stevens, R., OilEd: a Reason-able Ontology Editor for the Semantic Web, in 14th Int. Workshop on Description Logics, DL2001, Stanford, USA, 2001, pp. 396-408. (Pubitemid 33347350)
5. Blessing, S. B., A Programming by Demonstration Authoring Tool for Model-Tracing Tutors, Int. Journal of Artificial Intelligence in Education, vol. 8, pp. 233-261, 1997.
6. Chen, P. P., The Entity Relationship Model - Toward a Unified View of Data, ACM Transactions Database Systems, vol. 1, pp. 9-36, 1976.
7. Clutterbuck, P. M., The Art of Teaching Spelling: a Ready Reference and Classroom Active Resource for Australian Primary Schools. Melbourne: Longman Australia Pty Ltd, 1990.
8. Elmasri, R. and Navathe, S. B., Fundamentals of Database Systems, Fourth Edition. Boston, MA, USA: Addison-Wesley Longman Publishing Co., Inc., 2003.
9. Gruber, T. R., A Translation Approach to Portable Ontologies, Knowledge Acquisition, vol. 5, pp. 199-220, 1993.
10. Jarvis, M., Nuzzo-Jones, G., and Heffernan, N., Applying Machine Learning Techniques to Rule Generation in Intelligent Tutoring Systems, in Intelligent Tutoring Systems 2004, Maceio, Brazil, 2004, pp. 541-553.
11. Koedinger, K., Aleven, V., Heffernan, N., McLaren, B., and Hockenberry, M., Opening the Door to Nonprogrammers: Authoring Intelligent Tutor Behavior by Demonstration, in Intelligent Tutoring Systems 2004, Maceio, Brazil, 2004, pp. 162-174.
12. Koedinger, K. R., Anderson, J. R., Hadley, W. H., and Mark, M. A., Intelligent Tutoring Goes to School in the Big City, Int. Journal of Artificial Intelligence in Education, vol. 8, pp. 30-43, 1997.
13. Martin, B., Intelligent Tutoring Systems: The Practical Implementation of Constraint-based Modelling, PhD thesis, University of Canterbury, 2002.
14. Martin, B. and Mitrovic, A., Domain Modelling: Art or Science?, in 11th Int. Conference on Artificial Intelligence in Education, Sydney, Australia, 2003, pp. 183-190.
15. Martin, B. and Mitrovic, A., Using Learning Curves to Mine Student Models, in User Modelling 2005, Edinburgh, 2005, pp. 79-88.
16. Martin, B. and Mitrovic, A., The Effect of Adapting Feedback Granularity in ITS, in 4th Int. Conference on Adaptive Hypermedia and Adaptive Web-Based Systems, AH2006, Dublin Ireland, 2006, pp. 192-202.
17. Matsuda, N., Cohen, W., Sewall, J., Lacerda, G., and Koedinger, K., Evaluating a Simulated Student using real students data for training and testing, in User Modelling 2007, C. Conati, K. McCoy, and G. Paliouras, Eds. Corfu, Greece: Springer, 2007, pp. 61-70.
18. Mitrovic, A., Experiences in Implementing Constraint-Based Modelling in SQL-Tutor, in Intelligent Tutoring Systems 1998, San Antonio, 1998, pp. 414-423.
19. Mitrovic, A., Scaffolding Answer Explanation in a Data Normalization Tutor, Facta Universitatis, Series Elec. Energ., vol. 18, pp. 151-163, 2005.
20. Mitrovic, A., Koedinger, K., and Martin, B., A Comparative Analysis of Cognitive Tutoring and Constraintbased Modeling, in User Modelling 2003, Pittsburgh, USA, 2003, pp. 313-322.
21. Mitrovic, A. and Ohlsson, S., Evaluation of a Constraint-based Tutor for a Database Language, Int. Journal of Artificial Intelligence in Education, vol. 10, pp. 238-256, 1999.
22. Murray, T., Expanding the Knowledge Acquisition Bottleneck for Intelligent Tutoring Systems, Int. Journal of Artificial Intelligence in Education, vol. 8, pp. 222-232, 1997.
23. Murray, T., Authoring Intelligent Tutoring Systems: an Analysis of the State of the Art, Int. Journal of Artificial Intelligence in Education, Part II of the Special Issue on Authoring Systems for Intelligent Tutoring Systems, vol. 10, pp. 98-129, 1999.
24. Murray, T., An Overview of Intelligent Tutoring System Authoring Tools: Updated analysis of the state of the art, Authoring tools for advanced technology learning environments, pp. 491-545, 2003.
25. Ohlsson, S., Constraint-based Student Modelling, in Student Modelling: the Key to Individualized Knowledgebased Instruction, Berlin, 1994, pp. 167-189.
26. OWL, OWL Web Ontology Language, http://www.w3.org/TR/owl-features, 2004.
27. Protege, The Protege Ontology Editor and Knowledge Acquisition System, http://protege.stanford.edu, 2006.
28. Suraweera, P. and Mitrovic, A., KERMIT: a Constraint-based Tutor for Database Modeling, in Intelligent Tutoring Systems 2002, Biarritz, France, 2002, pp. 377-387.
29. Suraweera, P. and Mitrovic, A., An Intelligent Tutoring System for Entity Relationship Modelling, Int. Journal of Artificial Intelligence in Education, vol. 14, pp. 375-417, 2004.
30. Suraweera, P., Mitrovic, A., and Martin, B., The Role of Domain Ontology in Knowledge Acquisition for ITSs, in Intelligent Tutoring Systems 2004, Maceio, Brazil, 2004, pp. 207-216.
31. Suraweera, P., Mitrovic, A., and Martin, B., The use of Ontologies in ITS Domain Knowledge Authoring, in 2nd Int. Workshop on Applications of Semantic Web for E-learning SWEL'04, ITS 2004, Maceio, Brazil, 2004, pp. 41-49.
32. Suraweera, P., Mitrovic, A., and Martin, B., A Knowledge Acquisition System for Constraint-based Intelligent Tutoring Systems, in Artificial Intelligence in Education 2005, Amsterdam, Netherlands, 2005, pp. 638-645.
33. Suraweera, P., Mitrovic, A., and Martin, B., Constraint Authoring System: An Empirical Evaluation, in Artificial Intelligence in Education 2007, Marina del Rey, los Angles, 2007, pp. 451-458.
34. Tecuci, G., Building Intelligent Agents: An Apprenticeship Multistrategy Learning Theory, Methodology, Tool and Case Studies: Academic press, 1998.
35. Tecuci, G. and Keeling, H., Developing an Intelligent Educational Agent with Disciple, Int. Journal of Artificial Intelligence in Education, vol. 10, pp. 221-237, 1999.
36. Tecuci, G., Wright, K., Lee, S. W., Boicu, M., and Bowman, M. A Learning Agent Shell and Methodology for Developing Intelligent Agents, in AAAI-98 Workshop: Software Tools for Developing Agents, Madison, Wisconsin, 1998.