How can new media improve university research and instruction?

Part of the Multimedia und Telekooperation book series (MMTK)


Faculty and students at universities face a similar challenge. Rapidly advancing technologies require that everyone become a lifelong technology learner in their discipline. A National Academy of Sciences report recently this goal as fluency with information technology.2


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  1. Agogino, A. M., Linn, M. C.: Retaining female engineering students. Will early design experiences help? in M. Wilson (ed) NSF Directions, 5(2) (1992), pp. 8–9.Google Scholar
  2. Bell, J. E., Linn, M. C. et al.: “Knowledge integration in introductory programming: CodeProbe and interactive case studies.”, in: Interactive Learning Environments 4(1) (1994), pp. 75–95.Google Scholar
  3. Clancy, M. J., Linn, M. C.: Designing Pascal solutions: A case study approach, in: Principles of Computer Science (1st ed.), New York, NY (1992).Google Scholar
  4. Clancy, M. J., Linn, M. C.: Designing Pascal solutions: Case studies with data structures (1st ed.), New York, NY (1996).Google Scholar
  5. Hsi, S.: Facilitating knowledge integration in science through electronic discussion: The Multimedia Forum Kiosk, Unpublished doctoral dissertation, University of California, Berkeley, CA (1997).Google Scholar
  6. Linn, M. C., Clancy, M. J.: The case for case studies of programming problems. Communications of the ACM, 35 (3) (1992), pp. 121–132.CrossRefGoogle Scholar
  7. Linn, M. C., Clark, H. C.: When are science projects learning opportunities? Research Matters — To the Science Teacher, National Association for Research in Science Teaching (1997), URL: Scholar
  8. Linn, M. C., Hsi, S.: Computers, teachers, peers: Science Learning Partners, Hillsdale/NJ (in press).Google Scholar
  9. Linn, M. C., diSessa, A., Pea, R. D., Songer, N. B.: Can research on science learning and instruction inform standards for science education?, in: Journal of Science Education and Technology, 3(1) (1994), pp. 7–15.Google Scholar
  10. Linn, M. C., Shear, L., Beil, P., Slotta, J. D.: Organizing principles for science education partnerships: Case studies of students’ learning about “rats in space” and “deformed frogs”, in: Educational Technology Research and Development, 47(2) (1999), pp. 61–85.Google Scholar
  11. Linn, M. C.: Designing the Knowledge Integration Environment: The partnership inquiry process, in: International Journal of Science Education (in press).Google Scholar
  12. Schecker, H. P.: Integration of Experimenting and Modeling by Educational Technology: Examples from Nuclear Physics, in: Fraser, B., Tobin, K. (ed): International Handbook of Science Education (Vol. 1), Kluwer/The Netherlands (1998), pp. 383–398.Google Scholar
  13. Snyder, L., Aho, A.V., Linn, M.C. et al: Be FIT! Being fluent with information technology, Washington/D.C. (1999).Google Scholar
  14. Tufte, E. R.: Envisioning information. Chelshire, Connecticut (1990).Google Scholar
  15. Tufte, E. R.: Visual explanations: Images and quantities, evidence and narrative, Chelshire/Connecticut (1997).Google Scholar
  16. Wason, P. C., Johnson-Laird, P. N.: Psychology of reasoning; structure and content. Cambridge/Mass. (1972).Google Scholar

Copyright information

© Betriebswirtschaftlicher Verlag Dr. Th. Gabler GmbH, Wiesbaden, und Deutscher Universitäts-Verlag GmbH, Wiesbaden 2000

Authors and Affiliations

  1. 1.Graduate School of EducationUniversity of CaliforniaBerkeleyUSA

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