Prospects for Scientific Visualization as an Educational Technology

Journal of the Learning Sciences

Volumn 4, Issue 3, 1995, Pages 249-279

  Gordin, Douglas N ^a   Pea, Roy D ^a  

^a NORTHWESTERN UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0000024857     PISSN: 10508406     EISSN: 15327809     Source Type: Journal    
DOI: 10.1207/s15327809jls0403_1     Document Type: Article

References (44)

1. Barkstrom, B. R. (1984). The earth radiation budget experiment (ERBE) data sets [Machine-readable data file]. Hampton, VA: Atmospheric Sciences Division NASA/Langley Research Center (Producer). Greenbelt, MD: NASA Climate Data System, Distributed Active Archive Center (Distributor).
2. Becker, R. A., & Cleveland, W. S. (1991, July–August). Take a broader view of scientific visualization. Pixel, pp. 42–44.
3. Brodie, K. W., Carpenter, L. A., Earnshaw, R. A., Gallop, J. R., Hubbold, R. J., Mumford, A. M., Osland, C. D., & Quarendon P. (1992). Scientific visualization. Berlin, Germany: Springer-Verlag.
4. Brown, J. S., Collins A., & Duguid, P. (1989). Situated cognition and the culture of learning. Educational Researcher, 18, 32–42.
5. Cohen, D. K. (1988). Educational technology and school organization. In R. S. Nickerson & P. P. Zodhiates (Eds.), Technology in education: Looking toward 2020 (pp. 231–264). Hillsdale, NJ: Lawrence Erlbaum Associates, Inc.
6. Confrey. J. (1990). A review of the research on student conceptions in mathematics, science, and programming. In C. Cazden (Ed.), Review of research in education (Vol. 16, pp. 3–56). Washington, DC: American Educational Research Association.
7. Cuban, L. (1986). Teachers and machines: The classroom use of technology since 1920. New York: Teachers College Press.
8. diSessa, A. (1993). Toward an epistemology of physics. Cognition and Instruction, 10, 105–225.
9. Domenico, B., Bates, S., & Fulker, D. (1994, January). Unidata internet data distribution (IDD). In D. R. Smith & L. Bastiaans (Chairs), Proceedings of the Third Symposium on Education of the American Meteorological Society. Nashville, TN.
10. Elvins, T. T. (1992). A survey of algorithms for volume visualization. Computer Graphics, 26, 194–201.
11. Feiner, S., & Beshers. C. (1990). Visualizing in-dimensional virtual worlds with n-Vision. Proceedings of the 1990 Symposium on Interactive 3D Graphics (pp. 37–38). Snowbird, UT.
12. Greenberg, R. (1992, November). Scanning the images of science. The Science Teacher, pp. 14–18.
13. Greenberg, R., Kolvoord, R. A., Magisos, M., Strom, R. G., & Croft, S. (1993). Image processing for teaching. Journal of Science Education and Technology, 2, 469–480.
14. Gregory, R. L. (1981). Mind in science. New York: Cambridge University Press.
15. Griffin, P., & Cole. M. (1987). Computers' impact on the context of instruction. In P. Griffin & M. Cole (Eds.), Contextual factors in education (pp. 43–62). Madison: Wisconsin Center for Education Research.
16. Hall, S. S. (1992). Mapping the next millennium. New York: Vintage.
17. Hawkins, J., & Pea, R. D. (1987). Tools for bridging everyday and scientific thinking. Journal for Research in Science Teaching, 24, 291–307.
18. Honey, M., & Henriquez, A. (1993). Telecommunications and K-12 educators: Findings from a national survey. New York: Bank Street College of Education.
19. Knorr-Cetina, K. D. (1981). The manufacture of knowledge. New York: Pergamon.
20. Koker, T., & Rowe, B. (1993). ChemViz: An NSF sponsored program to bring high performance computing to America's high schools [Machine-readable data file]. Urbana-Champaign: University of Illinois, National Center for Supercomputing Applications ChemViz Project (Producer). Urbana-Champaign: University of Illinois, National Center for Supercomputing Applications (Distributor).
21. Latour, B. (1988). Drawing things together. In M. Lynch & S. Woolgar (Eds.), Representation in scientific practice (pp. 19–68). Cambridge, MA: MIT Press.
22. Latour, B., & Woolgar, S. (1986). Laboratory life: The construction of scientific facts. Princeton, NJ: Princeton University Press.
23. Lave, J., & Wenger, E. (1991). Situated learning: Legitimate peripheral participation. Cambridge, England: Cambridge University Press.
24. Linn, M. C., diSessa, A., Pea, R. D., & Songer, N. B. (in press). Can research on science learning and instruction inform standards for science education? Journal of Science Education and Technology.
25. Linn, M. C., Songer, N. B., & Eylon, B. (in press). Shifts and convergences in science learning and instruction. In D. Berliner & R. Calfee (Eds.), Handbook of educational psychology.
26. Lynch, M., & Woolgar, S. (1988). Introduction: Sociological orientations to representational practice in science. In M. Lynch & S. Woolgar (Eds.). Representation in scientific practice (pp. 1–18). Cambridge, MA: MIT Press.
27. McCormick, B. H., DeFanti, T. A., & Brown, M. D. (Eds.). (1987). Visualization in scientific computing. Computer Graphics, 21(6).
28. Meyer, G. W. (1991). Color vs. black-and-white in visualization. In G. M. Nielson & L. Rosenblum (Eds), Proceedings of Visualization '91 (pp. 336–339). Los Alamitos, CA: IEEE Computer Society Press.
29. Novak, J. D. (Ed.). (1987). Proceedings of the second international seminar on misconceptions and teaching strategies in science and mathematics. Ithaca, NY: Cornell University.
30. Office of Science and Technology Policy. (1991, February). Grand challenges: High performance computing and communications: The FY 1992 U.S. research and development program. (A report by the Committee on Physical, Mathematical, and Engineering Sciences, Federal Coordinating Council for Science, Engineering, and Technology.) Washington, DC: Executive Office of the President.
31. Pea, R. D. (1992). Augmenting the discourse of learning with computer-based learning environments. In E. de Corte, M. Linn, H. Mandl, & L. Verschaffel (Eds.), Computer-based learning environments and problem-solving (pp. 313–343). New York: Springer-Verlag.
32. Pea, R. D. (1993a). The Collaborative Visualization Project. Communications of the ACM, 36(5), 60–63.
33. Pea, R. D. (1993b). Practices of distributed intelligence and designs for education. In G. Salomon (Ed.), Distributed cognition (pp. 47–87). New York: Cambridge University Press.
34. Pea, R. D. (1994). Seeing what we build together: Distributed multimedia learning environments for transformative communications. The Journal of the Learning Sciences, 3, 285–299.
35. Pea, R., & Gomez, L. (1992). Distributed multimedia learning environments: Why and how? Interactive Learning Environments, 2, 73–109.
36. Postman, N. (1992). Technopoly: The surrender of culture to technology. New York: Knopf.
37. Ross, T. F. (1994, January). NCDC's CD-ROM products and on-line services—A useful tool for educators preparing students for the 21st century. In D. R. Smith & L. Bastiaans (Chairs), Proceedings of the Third Symposium on Education of the American Meteorological Society. Nashville, TN.
38. Ruopp. R., Gal, S., Drayton, B., & Pfister, M. (Eds.). (1993). LabNet: Toward a community of practice. Hillsdale, NJ: Lawrence Erlbaum Associates, Inc.
39. Sampson, P., Sternberg, A., Ferguson, J., Kamprath, M., Masters, J., Hay, K., Monan, M., & Mullen, T. (1994, January). Blue-skies: A new interactive teaching tool for K-12 education. In D. R. Smith & L. Bastiaans (Chairs), Proceedings of the Third Symposium on Education of the American Meteorological Society. Nashville, TN.
40. Szlichcinski, K. P. (1979). Diagrams and illustrations as aids to problem solving. Instructional Science. 8. 253–274.
41. Technical Education Research Center. (1991). Global laboratory notebook. Cambridge, MA: Author.
42. Toulmin, S. (1953). The philosophy of science. New York: Harper & Row.
43. Watson, J. D. (1968). The double helix. New York: Atheneum.
44. Wolff, R., & Yaeger, L. (1993). Visualization of natural phenomena [includes CD-ROM]. New York: Springer-Verlag.