Implicit Versus Explicit Learning of Strategies in a Non-procedural Cognitive Skill

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3220, Issue , 2004, Pages 521-530

  Vanlehn, Kurt ^a   Dumiszewe Bhembe, D B ^a   Chi, Min ^a   Lynch, Collin ^a   Schulze, Kay ^b   Shelby, Robert ^a,b   Taylor, Linwood ^a   Treacy, Don ^b   Weinstein, Anders ^a   Wintersgill, Mary ^b  

^a UNIVERSITY OF PITTSBURGH   (United States)

^b UNITED STATES NAVAL ACADEMY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER AIDED INSTRUCTION; CONSTRAINT THEORY; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; STUDENTS; TEACHING;

COGNITIVE SKILL; EXPLICIT LEARNING; MODEL TRACING TUTORS; PYRENEES; STANDARD PROCEDURES; TUTORING SYSTEM;

PROBLEM SOLVING;

EID: 35048901509     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-30139-4_49     Document Type: Article

References (11)

1. Berry, E. C., & Broadbent, D. E. (1984). On the relationship between task performance and associated verbalizable knowledge. The Quarterly Journal of Experimental Psychology, 36A, 209-231.
2. Burton, R. R., & Brown, J. S. (1982). An investigation of computer coaching for informal learning activities. In D. Sleeman & J. S. Brown (Eds.), Intelligent Tutoring Systems. New York: Academic Press.
3. Corbett, A. T., & Bhatnagar, A. (1997). Student modeling in the ACT programming tutor: Adjusting a procedural learning model with declarative knowledge, Proceedings of the Sixth International Conference on User Modeling.
4. Graesser, A. C., VanLehn, K., Rose, C. P., Jordan, P. W., & Harter, D. (2001). Intelligent tutoring systems with conversational dialogue. AI Magazine, 22(4), 39-51.
5. Lesgold, A., Lajoie, S., Bunzo, M., & Eggan, G. (1992). Sherlock: A coached practice environment for an electronics troubleshooting job. In J. H. a. C. Larkin, R.W. (Ed.), Computer Assisted Instruction and Intelligent Tutoring Systems: Shared Goals and Complementary Approaches (pp. 201-238). Hillsdale, NJ: Lawrence Erlbaum Associates.
6. Mitrovic, A., & Ohlsson, S. (1999). Evaluation of a constraint-based tutor for a database language. International Journal of Artificial Intelligence and Education, 10, 238-256.
7. Reiser, B. J., Kimberg, D. Y., Lovett, M. C., & Ranney, M. (1992). Knowledge representation and explanation in GIL, an intelligent tutor for programming. In J. H. Larkin & R. W. Chabay (Eds.), Computer Assisted Instruction and Intelligent Tutoring Systems: Shared Goals and Complementary Approaches (pp. 111-150). Hillsdale, NJ: Lawrence Erlbaum Associates.
8. Scheines, R., & Sieg, W. (1994). Computer environments for proof construction. Interactive Learning Environments, 4(2), 159-169.
9. VanLehn, K., & Jones, R. M. (1993). Learning by explaining examples to oneself: A computational model. In S. Chipman & A. Meyrowitz (Eds.), Cognitive Models of Complex Learning (pp. 25-82). Boston, MA: Kluwer Academic Publishers.
10. VanLehn, K., Jones, R. M., & Chi, M. T. H. (1992). A model of the self-explanation effect. The Journal of the Learning Sciences, 2(1), 1-59.
11. VanLehn, K., Lynch, C., Taylor, L., Weinstein, A., Shelby, R., Schulze, k., Treacy, D., & Wintersgill, M. (2002). Minimally invasive tutoring of complex physics problem solving. In S. A. Cerri & G. Gouarderes & F. Paraguacu (Eds.), Intelligent Tutoring Systems 1001: Proceedings of the 6th International Conference (pp. 158-167). Berlin: Springer-Verlag.