Cognitive apprenticeship: Teaching the crafts of reading, writing, and mathematics

Knowing, Learning, and Instruction: Essays in Honor of Robert Glaser

Volumn , Issue , 2018, Pages 453-494

  Collins, Allan ^a   Brown, John Seely ^b   Newman, Susan E ^b  

^a BBN TECHNOLOGIES   (United States)

^b PALO ALTO RESEARCH CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 85085411743     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.4324/9781315044408-14     Document Type: Chapter

References (37)

1. Baker, L., & Brown, A. L. (1980). Metacognitive skills of reading. In D. Pearson (Ed.), Handbook of reading research (pp. 353-394). New York: Longman.
2. Bereiter, C, & Scardamalia, M. (1987). The psychology of written composition. Hillsdale, NJ: Lawrence Erlbaum Associates.
3. Braden, V., & Bruns, W. (1977). Vic Braden’s tennis for the future. Boston: Little Brown.
4. Brown, J. S. (1985a). Process versus product; A perspective on tools for communal and informal electronic learning. Journal of Educational Computing Research, 1, 179-201.
5. Brown, J. S. (1985b). Idea-amplifiers: New kinds of electronic learning. Educational Honzons, 63, 108-112.
6. Brown, J. S., & Burton, R. (1978). Diagnostic models for procedural bugs in basic mathematical skills. Cognitive Science, 2, 155-192.
7. Brown, J. S., & VanLehn, K. (1980). Repair theory: A generative theory of bugs in procedural skills. Cognitive Science, 4, 379-426.
8. Burton, R., Brown, J. S., & Fischer, G. (1984). Skiing as a model of instruction. In B. Rogoff & J. Lave (Eds.), Everyday cognition: Its development in social context (pp. 139-150). Cambridge, MA: Harvard University Press.
9. Collins, A. (1986). Teaching reading and writing with personal computers. In J. Orasanu (Ed.), A decade of reading research: Implications for practice (pp. 171-187). Hillsdale, NJ: Lawrence Erlbaum Associates.
10. Collins, A., & Brown, J. S. (1988). The computer as a tool for learning through reflection. In H. Mandl & A. Lesgold (Eds.), Learning issues for intelligent tutoring systems (pp. 1-18). New York: Springer-Verlag.
11. Collins, A., Brown, J. S., & Larkin, K. M. (1980). Inference in text understanding. In R. J. Spiro, B. C. Bruce, & W. F. Brewer (Eds.), Theoretical issues in reading comprehension (pp. 385-407). Hillsdale, NJ: Lawrence Erlbaum Associates.
12. Collins, A., & Smith, E. E. (1982). Teaching the process of reading comprehension. In D. K. Detterman & R. J. Sternberg (Eds.), How much and how can intelligence be increased? (pp. 173-185). Norwood, NJ: Ablex.
13. Collins, A., & Stevens, A. L. (1982). Goals and strategies of inquiry teachers. In R. Glaser (Ed.), Advances in instructional psychology (Vol. 2, pp. 65-119). Hillsdale, NJ: Lawrence Erlbaum Associates.
14. Collins, A., & Stevens, A. L. (1983). A cognitive theory of interactive teaching. In C. M. Reigeluth (Ed.), Instructional design theories and models: An overview. Hillsdale, NJ: Lawrence Erlbaum Associates.
15. Cuban, L. (1984). How teachers taught. New York: Longman.
16. Galwey, W. T. (1974). The inner game of tennis. New York: Random House.
17. Getzels, J., & aikszentminhalyi, M. (1976). The creative vision: A longitudinal study of problem finding in art. New York: Wiley.
18. Hayes, J. R., & Flower, L. (1980). Identifying the organization of writing processes. In L. W. Gregg & E. R. Steinberg (Eds.), Cognitive processes in writing (pp. 1-32). Hillsdale, NJ: Lawrence Erlbaum Associates.
19. Lave, J. (1988). The culture of acquisition and the practice of understanding (Tech. Rep. No. 88-0007). Palo Alto, CA: Institute for Research on Learning.
20. Lave, J. (in preparation). Tailored learning: Education and everyday practice among craftsmen in West Africa.
21. Lave, J., Murtaugh, M., & de la Rocha, O. (1984). The dialectic of arithmetic in grocery shopping. In B. Rogoff & J. Lave (Eds.), Everyday cognition: Its development in social context (pp. 67-94). Cambridge, MA: Harvard University Press.
22. Lepper, M. R., & Greene, D. (1979). The hidden costs of reward. Hillsdale, NJ: Lawrence Erlbaum Associates.
23. Levin, J. A. (1982). Microcomputer communication networks for education. The Quarterly Newsletter of the Laboratory of Comparative Human Cognition, 4, No. 2.
24. Malone, T. (1981). Toward a theory of intrinsically motivating instruction. Cognitive Science, 4, 333-369.
25. Palincsar, A. S. (1986). Metacognitive strategy instruction. Exceptional Children, 53, 118-124.
26. Palincsar, A. S., & Brown, A. L. (1984). Reciprocal teaching of comprehension-fostering and monitoring activities. Cognition and Instruction, 1, 117-175.
27. Papert, S. (1980). Mindstorms: Children, computers, and powerful ideas. New York: Basic Books.
28. Polya, G. (1945). How to solve it. Princeton, NJ: Princeton University Press.
29. Scardamalia, M., & Bereiter, C. (1983a). Child as co-investigator: Helping children gain insight into their own mental processes. In S. Paris, G. Olson, & H. Stevenson (Eds.), Learning and motivation in the classroom (pp. 83-107). Hillsdale, NJ: Lawrence Erlbaum Associates.
30. Scardamalia, M., & Bereiter, C. (1983b). The development of evaluative, diagnostic, and remedial capabilities in children’s composing. In M. Martlew (Ed.), The psychology of written language: A developmental approach (pp. 67-95). London: Wiley.
31. Scardamalia, M., & Bereiter, C. (1985). Fostering the development of self-regulation in children’s knowledge processing. In S. F. Chipman, J. W. Segal, & R. Glaser (Eds.), Thinking and learning skills: Research and open questions (pp. 563-577). Hillsdale, NJ: Lawrence Erlbaum Associates.
32. Scardamalia, M., Bereiter, C, & Steinbach, R. (1984). Teachability of reflective processes in written composition. Cognitive Science, 8, 173-190.
33. Schoenfeld, A. H. (1983). Problem solving in the mathematics curriculum: A report, recommendations and an annotated bibliography. The Mathematical Association of America, MA A Notes, No. 1.
34. Schoenfeld, A. H. (1985). Mathematical problem solving. New York: Academic Press.
35. VanLehn, K., & Brown, J. S. (1980). Planning Nets: A representation for formalizing analogies and semantic models for procedural skills. In R. E. Snow, P. A. Federico, & W. E. Montague, (Eds.), Aptitude learning and instruction, Vol. 2: Cognitive process analyses of learning and problem-solving (pp. 95-137). Hillsdale, NJ: Lawrence Erlbaum Associates.
36. White, B. Y. (1984). Designing computer games to help physics students understand Newton’s laws of motion. Cognition and Instruction, 1, 69-108.
37. White, B. Y., & Frederiksen, J. (in press). Progressions of qualitative models as a foundation for intelligent learning environments. Artificial Intelligence.