Designing a Knowledge representation approach for the generation of pedagogical interventions by MTTs

International Journal of Artificial Intelligence in Education

Volumn 25, Issue 1, 2015, Pages 118-156

  Paquette, Luc ^a   Lebeau, Jean Franc¸ois ^b   Beaulieu, Gabriel ^b   Mayers, André ^b  

^a Teachers College Columbia University ^*  (United States)

^b UNIVERSITÉ DE SHERBROOKE   (Canada)

Author keywords

Knowledge representation; Model tracing; Negative feedback; Nextstep hints; Pedagogical intervention

Indexed keywords

FEEDBACK; KNOWLEDGE BASED SYSTEMS; KNOWLEDGE REPRESENTATION; SEMANTICS; STUDENTS; TEACHING;

LEVEL OF AUTOMATIONS; MODEL TRACING TUTORS; MODEL TRACINGS; NEXTSTEP HINTS; PEDAGOGICAL INTERVENTION; PRELIMINARY ASSESSMENT; SMALL-SCALE EXPERIMENT; UNDERGRADUATE STUDENTS;

EDUCATION;

EID: 84920848744     PISSN: 15604292     EISSN: 15604306     Source Type: Journal    
DOI: 10.1007/s40593-014-0030-z     Document Type: Article

References (43)

1. Adelson-Velskii, G. M., & Landis, E. M. (1962). An Algorithm for the Organization of Information. Soviet Mathematics Doklady, 3, 1259-1262.
2. Aleven, V. (2010). Rule-Based Cognitive Modeling for Intelligent Systems. In Nkambou R., Bourdeau J. & Mizoguchi R. (Eds.) Advances in Intelligent Tutoring Systems, 33-62.
3. Aleven, V., & Koedinger, K. R. (2008). An Effective Metacognitive Strategy: Learning by Doing and Explaining with a Computer-Based Cognitive Tutor. Cognitive Science, 26, 147-179.
4. Aleven, V., McLaren, B. M., & Sewall, J. (2009a). Scaling Up Programming by Demonstration for Intelligent Tutoring Systems Development: An Open-Access Website for Middle School Mathematics Learning. IEEE Transactions on Learning Technologies, 2(2), 64-78.
5. Aleven, V., McLaren, B. M., Sewall, J., & Koedinger, K. R. (2006). The Cognitive Tutor Authoring Tools (CTAT): Preliminary Evaluation of Efficiency Gains. In Proceedings of Intelligent Tutoring Systems, 2006, 61-70.
6. Aleven, V., McLaren, B.M., Sewall, J., Koedinger, K.R. (2009). Example-Tracing Tutors: A New Paradigm for Intelligent Tutoring Systems. International Journal of Artificial Intelligence in Education, Special Issue on "Authoring Systems for Intelligent Tutoring Systems", 105-154.
7. Anderson, J. R., Boyle, C. F., Corbett, A., & Lewis, M. W. (1990). Cognitive Modeling and Intelligent Tutoring. Artificial Intelligence, 42, 7-49.
8. Anderson, J. R., Conrad, F. G., & Corbett, A. T. (1989). Skill Acquisition and the LISP Tutor. Cognitive Science, 13, 467-505.
9. Anderson, J. R., Corbett, A. T., Koedinger, K. R., & Pelletier, R. (1995). Cognitive Tutors: Lessons Learned. The Journal of the Learning Sciences, 4, 167-207.
10. Anderson, J.R., Pelletier, R. (1991). A Development System for Model-Tracing Tutors. In Proceedings of the International Conference of the Learning Sciences, 1-8
11. Barnes, T., Stamper, J., Croy, M., & Lehman, L. (2008). A Pilot Study on Logic Proof Tutoring Using Hints Generated from Historical Student Data. In Proceedings of Educational Data Mining, 2008, 197-201.
12. Conati, C., & VanLehn, K. (1999). Teaching Meta-Cognitive Skills: Implementation and Evaluation of a Tutoring System to Guide Self-Explanation while Learning from Examples. Proceedings of Artificial Intelligence in Education, 1999, 297-304.
13. Corbett, A.T., Koedinger, K.R., Anderson, J.R. (1997). Intelligent Tutoring Systems. In Handbook of Human-Computer Interaction (2nd ed.), 849-874.
14. Erol, K., Hendler, J., & Nau, D. S. (1994). UCMP: A Sound and Complete Procedure for Hierarchical Task-Network Planning. In Proceedings of the International Conference of Artificial Intelligence Planning Systems (pp. 249-254).
15. Heffernan, N. T., Koedinger, K., & Razzaq, L. (2008). Expanding the Model-Tracing Architecture: A 3rd Generation Intelligent Tutor for Algebra Symbolization. International Journal of Artificial Intelligence in Education, 18, 153-178.
16. Hill, R.W., Johnson, L.W. (1993). Impasse-Driven Tutoring for Reactive Skill Acquisition. In Proceedings of the Conference on Intelligent Computer-Aided Training and Virtual Environement Technology
17. Hill, R.W., & Johnson, L.W. (1995). Situated Plan Attribution. International Journal of Artificial Intelligence in Education, 6, 35-66.
18. Johnson, L. W. (1990). Understanding and Debugging Novice Programs. In Artificial Intelligence, 42, 51-97.
19. Koedinger, K., & Anderson, J. R. (1993). Effective Use of Intelligent Software in High School Math Classrooms. Proceedings of Artificial Intelligence in Education, 1993, 241-248.
20. McKendree, J. (1990). Effective Feedback Content for Tutoring Complex Skills. Human-Computer Interaction, 5, 381-413.
21. McLaren, B. M., & Isotani, S. (2011). When is it Best to Learn with All Worked Examples? Proceedings of Artificial Intelligence in Education, 2011, 222-229.
22. McLaren, B.M., Lim, S., Koedinger K.R. (2008). When and How Often Should Worked Examples be Given to Students? New Results and a Summary of the Current State of Research. Proceedings of the Cognitive Science Conference
23. Mitrovic, A. (1998). A Knowledge-Based Teaching System for SQL. In Proceedings of ED-MEDIA, 1998, 1027-1032.
24. Mitrovic, A. (2010). Modeling Domains and Students with Constraint-Based Modeling. In Nkambou R., Bourdeau J. & Mizoguchi R. (Eds.) Advances in Intelligent Tutoring Systems, 63-80.
25. Mitrovic, A., & Ohlsson, S. (1999). Evaluation of a Constraint-Based Tutor for a Database Language. Artificial Intelligent in Education, 10, 238-256.
26. Mitrovic, A., & Weerasinghe, A. (2009). Revisiting Ill-Definedness and the Consequences for ITSs. In Proceedings of Artificial Intelligence in Education, 2009, 375-382.
27. Ohlsson, S. (2008). Computational Models of Skill Acquisition. The Cambridge Handbook of Computational Psychology, Cambridge University Press, 359-395
28. Paquette, L., Lebeau, J.-F., Mayers, A. (2010). Authoring Problem-Solving Tutors: A Comparison Between CTAT and ASTUS. In Nkambou R., Bourdeau J. & Mizoguchi R. (Eds.) Advances in Intelligent Tutoring Systems, 377-405.
29. Paquette, L., Lebeau, J.-F., & Mayers, A. (2012a). Automating the Modeling of Learners' Erroneous Behaviors in Model-Tracing Tutors. In Proceedings of User Modeling, Adaptation and Personalization, 2012, 316-321.
30. Paquette, L., Lebeau, J.-F., Mayers, A. (2013). Diagnosing Errors from Off-Path Steps in Model-Tracing Tutors. In Proceedings of Artificial Intelligence in Education 2013
31. Paquette, L., Lebeau, J.-F., Beaulieu, G., & Mayers, A. (2012b). Automating Next-Step Hints Generation Using ASTUS. In Proceedings of Intelligent Tutoring Systems, 2012, 201-211.
32. Paquette, L., Lebeau, J.-F., Mbungira, J. P., & Mayers, A. (2011). Generating Task-Specific Next-Step Hints Using Domain-Independent Structures. In Proceedings of Artificial Intelligence in Education, 2011, 525-527.
33. Reiser, B.J., Kimberg, D.Y., Lovett, M.C., Ranney, M. (1992). Knowledge Representation and Explanation in GIL, An Intelligent Tutor for Programming. In Computer-Assisted Instruction and Intelligent Tutoring Systems, 111-149
34. Rickel, J. (1988). An Intelligent Tutoring Framework for Task-Oriented Domains. In Proceedings of Intelligent Tutoring Systems, 1988, 109-115.
35. Rickel, J., & Johnson, L. W. (1999). Animated Agents for Procedural Training in Virtual Reality: Perception, Cognition, and Motor Control. Applied Artificial Intelligence, 13, 343-382.
36. Sacerdoti, E. D. (1975). A Structure for Plans and Behavior. New York: Elsevier.
37. Sottilare, R.A., Goldberg, B.S., Brawner, K.W., Holden, H.K. (2012). A Modular Framework to Support the Authoring and Assessment of Adaptive Computer-Based Tutoring Systems (CBTS). In Proceedings of the Interservice/Industry Training, Simulation, and Education Conference.
38. Stamper, J., Barnes, T., Croy, M., & Eagle, M. (2013). Experimental Evaluation of Automatic Hint Generation for a Logic Tutor. International Journal of Artificial Intelligence in Education, 22(1), 29-41.
39. VanLehn, K. (1990). Mind Bugs: The Origin of Procedural Misconceptions. MIT Press
40. VanLehn, K. (2006). The Behavior of Tutoring Systems. International Journal of Artificial Intelligence in Education, 16, 227-265.
41. VanLehn, K., Lynch, C., Schultz, K., Shapiro, J. A., Shelby, R., Taylor, L., Treacy, D., Weinstein, A., & Wintersgill, M. (2005). The Andes Physics Tutoring System: Lessons Learned. International Journal of Artificial Intelligence in Education, 15, 147-204.
42. Wenger, E. (1987). Artificial Intelligence and Tutoring Systems: Computational and Cognitive Approaches to the Communication of Knowledge. Morgan Kaufmann Publishers
43. Woolf, B. (2009). Building Intelligent Interactive Tutors: Student-Centered Strategies for Revolutionizing E-Learning. Morgan Kauffman Publishers