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Using computers in science and technology education

Published:01 June 2001Publication History
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Abstract

This working group wishes to promote interaction of computer scientists and educational researchers. Such an interaction would benefit not only educational sciences and computer science education but also contribute to computer science e.g. through behaviour metaphors in robotics. We have initiated an analysis of computer uses in education starting from applications especially in science and technology education. Having analysed various roles of computers in educational processes in the above area we have also identified technological requirements of modern learning environments and defined the concept of a rich learning environment. We use the Open Market metaphor to concretise this concept in two different cases. Finally, we present as an outcome of our cooperative analysis basic goals for technological literacy and a description of a technology literate student.

References

  1. I. Schnackenberg, H. L., and Savenye, W. C. A Qualitative Look at Preservice Teacher's Perceptions of the Future of Computers in Education. Paper presented at the Annual Meeting of the Association for Educational Communications and Technology (Albuquerque, NM, February 12-16, 1997). ERIC ED403878 (1997).Google ScholarGoogle Scholar
  2. II. Roth, W.-M. Bridging the Gap between School and Real Life: Toward an Integration of Science, Mathematics and Technology in the Context of Authentic Practice. School Science and Mathematics, 92(6) (1992), 307-317.Google ScholarGoogle ScholarCross RefCross Ref
  3. III. Brownell, G. Computers and Teaching. St. Paul, NewYork, Los Angeles, San Francisco: West Publishing Company (1992). Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. IV. Moursund, D., and Bielefeldt, T. Will New Teachers Be Prepared To Teach in a Digital Age? A National Survey on Information Technology in Teacher Education. International Society for Technology in Education, Eugene. ERIC ED428072 (1999).Google ScholarGoogle Scholar
  5. V. Tinker, R. (ed). Microcomputer-Based Labs: Educational Research and Standards. Berlin: Springer-Verlag (1996). Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. VI. Madjidi, F., Hughes, H. W., Johnson, R. N., and Cary, K. Virtual Learning Environments. ERIC ED429565 (1999).Google ScholarGoogle Scholar
  7. VII. Davis, N. Developing Telecommunications within European Teacher Education: Progress, Plans, and Policy. In the Proceedings SITE 98: Society for Information Technology & Teacher Education International Conference (9th, Washington, DC, March 10-14, 1998). ERIC ED 421160 (1998).Google ScholarGoogle Scholar
  8. VIII. Baker, L. Metacognition, Reading and Science Education. In C. M. Santa and D. E. Alvermann. Science Learning: Processes and Applications. Newark: International reading association, ira (1991).Google ScholarGoogle Scholar
  9. IX. Webb, L. Spreadsheets in physics teaching. Physics Education 28, (1993), 77 - 82.Google ScholarGoogle ScholarCross RefCross Ref
  10. X. Roberts, N., Deal, R., Andersen, D., Garet, M. and Shaffer, W. Introduction to computer simulation: the system dynamics approach. Reading: Addison-Wesley Publishing Company (1983) Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. XI. CS101. Rethinking CS101: Innovations in Introductory Computer Programming. {July 12, 2000}. Available WWW: http://www.ai.mit.edu/projects/cs101/Google ScholarGoogle Scholar
  12. XII. Brown, J. S., Collins, A. and Duguid, P. Situated cognition and the culture of learning. Educational Researcher, 18 (1989), 32-42.Google ScholarGoogle ScholarCross RefCross Ref
  13. XIII. Masui, C., and De Corte, E. Enhancing learning and problem solving skills: orienting and self-judging, two powerful and trainable learning tools. Learning and Instruction, 9 (1999), 517-542.Google ScholarGoogle ScholarCross RefCross Ref
  14. XIV. Carey, D. M. Teacher Roles and Technology Integration: Moving from Teacher as Director to Teacher as Faciliator, Computers in the School, 9(2/3) (1993), 105-118. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. XV. Vygotsky, L. S. Thought and language, Cambridge MA MIT Press (1986).Google ScholarGoogle Scholar
  16. XVI. Hudson, T. Developing pupils' skills. In R. Levison (ed.) Teaching Science, London: Routledge (1994), 94-109.Google ScholarGoogle Scholar
  17. XVII. Meisalo, V. Information technology in a modern physics classroom. In M. Ahtee, J. Lavonen and V. Meisalo (eds.) Proceedings of the Finnish-Russian symposium on information technology in the modern physics classroom. Department of Teacher Education, University of Helsinki. Research Report, 123 (1994), 51-57.Google ScholarGoogle Scholar
  18. XVIII. Lavonen, J., and Meisalo, V. Current Research Activities in the LUONTI Project. In S. Tella (ed.) Aspects of Media Education: Strategic Imperatives in the Information Age. University of Helsinki, Department of Teacher Education, Media Education Centre, Publications, 8 (1998), 307-341.Google ScholarGoogle Scholar
  19. XIX. Cohen, V. L. Implications for Learning in a Technology-Rich School. Journal of Interactive Learning Research, 8(2) (1997), 153-74. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. XX. Meisalo, V. and Lavonen, J. Bits and Processes on Markets and Webs: An Analysis of Virtuality, Reality and Metaphors in a Modern Learning Environment. Paper presented at the Annual Conference on Research on Mathematics and Science Education, Jyväskylä University (2000).Google ScholarGoogle Scholar
  21. XXI. Minken, L., Stenseth, B., and Vavik, L. Pedagogisk programvare, Printing Datacenter A/S, Halden (1987)Google ScholarGoogle Scholar
  22. XXlI. Lorsbach, A., and Tobin, K. Toward a Critical Approaches to the Study of Learning Environments in Science Classrooms. Research in Science Education, 25(1) (1995), 19-32.Google ScholarGoogle ScholarCross RefCross Ref
  23. XXIII. Hofstein, N. O., Tamir, P., and Giddins, G. Development and Validation of and Instrument for Assessing the Learning Environment of Outdoor Science Activities. Science Education, 81 (1997), 161-171.Google ScholarGoogle ScholarCross RefCross Ref
  24. XXIV. Weller, H. G. Assessing the Impact of Computer-Based Learning in Science. Journal of Research on Computing in Education, 28(4) (1996), 461-485.Google ScholarGoogle ScholarCross RefCross Ref
  25. XXV. Scaife, J. Datalogging. Where are we now? Physics Education, 28 (1993), 83-86.Google ScholarGoogle ScholarCross RefCross Ref
  26. XXVI. Maor, D., and Taylor, P. C. Teacher Epistemology and Scientific Inquiry in Computerized Classroom Environments. Journal of Research in Science Teaching, 32(8) (1995), 839-854.Google ScholarGoogle ScholarCross RefCross Ref
  27. XXVII. Clark, A. Investigating school physics laboratory software and hardware. Physics Education, 28 (1993), 87-91.Google ScholarGoogle ScholarCross RefCross Ref
  28. XXVIII.Lavonen, J. Experimental nature of the teaching of physics and measurement automation. University of Helsinki. Report Series in Physics, HU-P-D64 (1996).Google ScholarGoogle Scholar
  29. XXIX. Hämäläinen, A. An open microcomputer-based laboratory system for perceptional experimentality. University of Helsinki. Report Series in Physics HU-P-D70 (1998).Google ScholarGoogle Scholar
  30. XXX. Pecori, B., and Torzo, G. Data acquisition technologies in the physics laboratory: a chance for developing physics knowledge and a confident attitude toward science and technology. Paper presented at the IOSTE Conference (sub-theme 3) (1999).Google ScholarGoogle Scholar
  31. XXXI. Sellwood, P. The investigative Learning Process, The Journal of the Design & Technology Teaching 24(1) (1991), 4-12.Google ScholarGoogle Scholar
  32. XXXII. Howe, C., Tolmie, A., Anderson, A., and Mackenzie, M. Conceptual knowledge in Physics: The Role of group interaction in computer-supported teaching. Learning and Instruction, 2 (1992), 161-183.Google ScholarGoogle ScholarCross RefCross Ref
  33. XXXIII.Duit, R., and Confrey, J. Reorganizing the Curriculum and Teaching to Improve Learning in Science and Mathematics. In D. F. Treagust, R. Duit, and B. J. Fraser (eds.) Improving Teaching and Learning in Science and Mathematics, New York: Teachers College Press, and Columbia University NY (1996), 79-93.Google ScholarGoogle Scholar
  34. XXXIV.Meisalo, V. and Lavonen, J. Bits and Processes on Markets and Webs: An Analysis of Virtuality, Reality and Metaphors in a Modern Learning Environment. Paper presented at the Annual Conference on Research on Mathematics and Science Education, Jyväskylä University (2000).Google ScholarGoogle Scholar
  35. XXXV. Lappalainen, A., Lavonen, J., and Meisalo, V. Environmental projects in primary school teacher training:River Vantaa is flowing - project as an example. Det sjätte nordiska forskarsymposiet om undervisning i naturvetenskap i skolan. Joensuun yliopisto, Joensuu. To be published (1999).Google ScholarGoogle Scholar
  36. XXXVI.Nakhkeh, M. B. A Review of Microcomputer-Based Labs: How Have They Affected Science Learning? Journal of Computers in Mathematics and Science Teaching, 13(4) (1994), 368-681. Google ScholarGoogle ScholarDigital LibraryDigital Library
  37. XXXVII.Van Horn, Royal. The virtual school. Phi Delta Kappan, 78(6) (1997), 481-483.Google ScholarGoogle ScholarCross RefCross Ref
  38. XXXVIII.Fisher, R. Teaching Children to Think. Oxford: Basil Blackwell Ltd (1990).Google ScholarGoogle Scholar
  39. XXXIX.Jarvis, T. Teaching design and technology in the primary school. London: Routledge (1993), 2, 194.Google ScholarGoogle Scholar
  40. XL. NETS, National Educational Technology Standards for Students. International Society for Technology Education (ISTE) (1998).Google ScholarGoogle Scholar
  41. XLI. Public Law 102-73. {July 12, 2000}. Available WWW: http://novel.nifl.gov/susanc/lbccsum.htmGoogle ScholarGoogle Scholar
  42. XLII. Bowyer, J. Scientific and Technological Literacy: Education for Change. Paper presented as a Special Study for the World Conference on Education For All, Thailand. ERIC ED 344758 (1990).Google ScholarGoogle Scholar
  43. XLIII. Whitty, G., and Willmott, E. Competence-based teacher education: Approaches and issues. Cambridge Journal of Education 21(3), (1991), 309-319.Google ScholarGoogle ScholarCross RefCross Ref
  44. XLIV. Custer, R. L. (ed.) Performance Based Education: Technology Activity Modules. Instructional Materials Laboratory, University of Missouri. ERIC ED379460 (1994).Google ScholarGoogle Scholar

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      • Published in

        cover image ACM SIGCSE Bulletin
        ACM SIGCSE Bulletin  Volume 33, Issue 2
        June 2001
        148 pages
        ISSN:0097-8418
        DOI:10.1145/571922
        Issue’s Table of Contents

        Copyright © 2001 Authors

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 1 June 2001

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