Learning Strategies and Transfer in the Domain of Programming

Cognition and Instruction

Volumn 12, Issue 3, 1994, Pages 235-275

  Pirolli, Peter ^a   Recker, Margaret ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0001486010     PISSN: 07370008     EISSN: 1532690X     Source Type: Journal    
DOI: 10.1207/s1532690xci1203_2     Document Type: Article

References (39)

1. Anderson, J.R. (1976). Language, memory, and thought. Hillsdale, NJ: Lawrence Erlbaum Associates, Inc.
2. Anderson, J.R. (1983). The architecture of cognition. Cambridge, MA: Harvard University Press.
3. Anderson, J.R. (1987). Skill acquisition: The compilation of weak-method problem solutions. Psychological Review, 44, 192–210.
4. Anderson, J.R. (1989). A theory of the origins of human knowledge. Artificial Intelligence, 40, 313–351.
5. Anderson, J.R., Conrad, F., & Corbett, A. (1989). Skill acquisition and the Lisp Tutor. Cognitive Science, 13, 467–505.
6. Anderson, J.R., Corbett, A.T., & Reiser, B.J. (1987). Essential Lisp. Reading, MA: Addison-Wesley.
7. Anderson, J.R., Pirolli, P.L., & Farrell, R. (1988). Learning to program recursive functions. In M.T.H. Chi, R. Glaser, & M. Farr (Eds.), The nature of expertise (pp. 153–183). Hillsdale, NJ: Lawrence Erlbaum Associates, Inc.
8. Bovair, S., Kieras, D., & Poison, P.G. (1990). The acquisition and performance of text-editing skill: A cognitive complexity analysis. Human-Computer Interaction, 5, 1–48.
9. Charnov, E.L. (1976). Optimal foraging: The marginal value theorem. Theoretical Population Biology, 9, 129–136.
10. Chi, M.T.H., Bassok, M., Lewis, M.W., Reimann, P., & Glaser, R. (1989). Self-explanations: How students study and use examples in learning to solve problems. Cognitive Science, 13, 145–182.
11. DeJong, G., & Mooney, R. (1986). Explanation-based learning: An alternative view. Machine Learning, I, 145–176.
12. Ericsson, K.A., & Simon, H.A. (1984). Protocol analysis: Verbal reports as data. Cambridge, MA: MIT.
13. Hirshman, E., & Bjork, R.A. (1988). The generation effect: Support for a two-factor theory. Journal of Experimental Psychology: Learning, Memory, and Cognition, 14, 484–494.
14. Johnson-Laird, P.N. (1983). Mental models. New York: Columbia.
15. Kieras, D.E. (1985). Improving the comprehensibility of a simulated technical manual (Tech. Rep. No. 20 TR-85/ONR-20). Ann Arbor: University of Michigan.
16. Kieras, D.E., & Bovair, S. (1986). The acquisition of procedures from text: A production system analysis of transfer of training. Journal of Memory and Language, 25, 507–524.
17. Kintsch, W. (1986). Learning from text. Cognition and Instruction, 3, 87–108.
18. Kvålseth, T.O. (1985). Cautionary note about R2. The American Statistician, 39, 279–285.
19. Lorch, R.F., & Myers, J.L. (1990). Regression analyses of repeated measures data in cognitive research. Journal of Experimental Psychology: Learning, Memory, and Cognition, 16, 149–157.
20. Mitchell, T.M., Keller, R.M., & Kedar-Cabelli, S.T. (1986). Explanation-based generalization: A unifying view. Machine Learning, I, 47–80.
21. Newell, A. (1990). Unified theories of cognition. Cambridge, MA: Harvard University Press.
22. Newell, A., & Rosenbloom, P. (1981). Mechanisms of skill acquisition and the law of practice. In J.R. Anderson (ed.), Cognitive skills and their acquisition (pp. 1–55). Hillsdale, NJ: Lawrence Erlbaum Associates, Inc.
23. Newell, A., & Simon, H.A. (1972). Human problem solving. Englewood Cliffs, NJ: Prentice-Hall.
24. Pirolli, P. (1986). A cognitive model and computer tutor for programming recursion. Human-Computer Interaction, 2, 319–355.
25. Pirolli, P. (1991). Effects of examples and their explanation in a lesson on recursion: A production system analysis. Cognition and Instruction, 8, 207–259.
26. Pirolli, P., & Anderson, J.R. (1985). The role of learning from examples in the acquisition of recursive programming skills. Canadian Journal of Psychology, 39, 240–272.
27. Pirolli, P., & Wilson, M. (1992). Measuring learning strategies and understanding: A research framework. In C. Frasson, G. Gauthier, & G.I. McCalla (Eds.), Intelligent tutoring systems (pp. 539–558). Berlin: Springer-Verlag.
28. Recker, M., & Pirolli, P. (1991). Analyses of self-explanation verbal protocols: Description of a protocol coding scheme and representative protocols (Tech. Rep. No. CSM-5). Berkeley, CA: University of California, School Of Education.
29. Recker, M., & Pirolli, P. (1992). Student strategies for learning from a computational environment. In C. Frasson, G. Gauthier, & G.I. McCalla (Eds.), Intelligent tutoring systems (pp. 382–394). Berlin: Springer-Verlag.
30. Reder, L.M., Charney, D.H., & Morgan, K.I. (1986). The role of elaborations in learning a skill from an instructional text. Memory and Cognition, 14, 64–78.
31. Reiser, B.J., Anderson, J.R., & Farrell, R.G. (1985). Dynamic student modelling in an intelligent tutor for Lisp programming. Proceedings of the Ninth International Joint Conference on Artificial Intelligence (pp. 8–14). Los Altos, CA: Morgan-Kaufman.
32. Rich, C. (1981). Inspection methods in programming (Tech. Rep. No. AI-TR-604). Cambridge, MA: MIT.
33. Ryle, G. (1949). The concept of mind. New York: Barnes & Noble.
34. Singley, M.K., & Anderson, J.R. (1989). Transfer of cognitive skill. Cambridge, MA: Harvard University Press.
35. Spohrer, J.C., Soloway, E., & Pope, E. (1985). A goal/plan analysis of buggy Pascal programs. Human-Computer Interaction, 1, 163–207.
36. van Dijk, T., & Kintsch, W. (1983). Strategies of discourse comprehension. New York: Academic.
37. VanLehn, K. (1991). Rule acquisition events in the learning of a cognitive skill. Cognitive Science, 15, 1–47.
38. Waters, R.C. (1985). A step towards the Programmer's Apprentice (Tech. Rep. No. 753). Cambridge, MA: MIT Artificial Intelligence Laboratory.
39. Winer, B.J. (1962). Statistical principles in experimental design. New York: McGraw-Hill.