Technology meets constructivism: Do they make a marriage?

Constructivism and the Technology of Instruction: A Conversation

Volumn , Issue , 2013, Pages 45-55

  Perkins, D N ^a  

^a HARVARD GRADUATE SCHOOL OF EDUCATION   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84917094842     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.4324/9780203461976     Document Type: Chapter

References (21)

1. Anderson, J. R. (1983). The architecture of cognition. Cambridge, MA: Harvard University Press.
2. Anderson, J. R., Farrell, R., & Sauers, R. (1984). Learning to program in LISP. Cognitive Science, 8, 87-129.
3. Anderson, J. R., & Thompson, R. (1989). Use of analogy in a production system architecture. In S. Vosniadou & A. Ortony (Eds.), Similarity and analogical reasoning (pp. 267-297). New York: Cambridge University Press.
4. Boyer, E. (1983). High school: A report on secondary education in America. New York: Harper & Row.
5. Bransford, J. D., Franks, J. J., Vye, N. J., & Sherwood, R. D. (1989). New approaches to instruction: Because wisdom can’t be told. In S. Vosniadou & A. Ortony (Eds.), Similarity and analogical reasoning. New York: Cambridge University Press.
6. Brown, J. S., Collins, A., & Duguid, P. (1989). Situated cognition and the culture of learning. Educational Researcher, 18(4), 32-42.
7. Bruner, J. (1973). Beyond the information given: Studies in the psychology of knowing. New York: Norton.
8. Clement, J. (1982). Students’ preconceptions in introductory mechanics. American Journal of Physics, 50, 66-71.
9. Clement, J. (1983). A conceptual model discussed by Galileo and used intuitively by physics students. In D. Gentner & A. L. Stevens (Eds.), Mental models. Hillsdale, NJ: Lawrence Erlbaum Associates.
10. Goodlad, J. (1984). A place called school: Prospects for the future. New York: McGraw-Hill.
11. McCloskey, M. (1983). Naive theories of motion. In D. Gentner & A. L. Stevens (Eds.), Mental models (pp. 299-324). Hillsdale, NJ: Lawrence Erlbaum Associates.
12. Papert, S. (1980). Mindstorms: Children, computers, and powerful ideas. New York: Basic Books.
13. Perkins, D., Crismond, D., Simmons, R., & Unger, C. (In press). Inside understanding. In D. Perkins, M. West, J. Schwartz, & M. Wiske (Eds.), Making sense of the future: Teaching for understanding in the age of technology.
14. Perkins, D. N. (1989). Art as understanding. In H. Gardner & D. Perkins (Eds.), Art, mind and education: Research from project zero. Urbana, IL: University of Illinois Press.
15. Perkins, D. N., & Simmons, R. (1988). Patterns of misunderstanding: An integrative model of misconceptions in science, mathematics, and programming. Review of Educational Research, 58(3), 303-326.
16. Ravitch, D., & Finn, C. (1987). What do our 17-year-olds know?: A report on the first national assessment of history and literature. New York: Harper & Row.
17. Rumelhart, D. E. (1989). Toward a microstructural account of human reasoning. In S. Vosniadou & A. Ortony (Eds.), Similarity and analogical reasoning (pp. 298-312). New York: Cambridge University Press.
18. Salomon, G., & Perkins, D. N. (1989). Rocky roads to transfer: Rethinking mechanisms of a neglected phenomenon. Educational Psychologist, 24(2), 113-142.
19. Schwartz, J. L., & Yerushalmy, M. (1987). The geometric supposer: Using microcomputers to restore invention to the learning of mathematics. In D. N. Perkins, J. Lochhead, & J. Bishop (Eds.), Thinking: Proceedings of the second international conference (pp. 525-536). Hillsdale, NJ: Lawrence Erlbaum Associates.
20. White, B. (1984). Designing computer games to help physics students understand Newton’s laws of motion. Cognition and Instruction, 1, 69108.
21. White, B., & Horwitz, P. (1987). ThinkerTools: Enabling children to understand physical laws (BBN Inc. Report No. 6470). Cambridge, MA: BBN Laboratories Inc.