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Didactic transposition in computer science education

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Published:01 December 2010Publication History
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Abstract

This paper introduces the concept of didactic transpositions in the context of computer science education (CSE). In general, didactic transposition refers to the adaptation of professional knowledge to teaching situations. With respect to CSE, we illustrate the concept of didactic transpositions with two research works that examined a didactic transposition of software development methods to educational frameworks: the first one---in the university; the second---in the high school.

References

  1. Abrahamsson, P., Salo, O., Ronkainen, J. and Warsta, J. (2002). Agile Software Development Methods-Review and Analysis, VTT publications 478. Available on line at: http://www.vtt.fi/inf/pdf/publications/2002/P478.pdfGoogle ScholarGoogle Scholar
  2. Beck, K. (with Andres, C., 2005, second edition). Extreme Programming Explained: Embrace Change, Addison-Wesley. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Chevallard, Y. (1985). La Transposition Didactique. Grenoble: La Pensée Sauvage.Google ScholarGoogle Scholar
  4. Chevallard, Y. (1988). On didactic transposition theory: Some introductory notes, Paper presented at the International Symposium on Research and Development in Mathematics, Bratislava, CzechoslavakiaGoogle ScholarGoogle Scholar
  5. Dubinsky, Y. and Hazzan, O. (2005). A framework for teaching software development methods, Computer Science Education 15(4), pp. 275--296.Google ScholarGoogle ScholarCross RefCross Ref
  6. Hazzan O. and Dubinsky Y. (2003). Teaching a software development methodology: The case of Extreme Programming, 16th International Conf. on SE Education and Training, pp. 176--184. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Hazzan, O. and Dubinsky, Y. (2008). Agile Software Engineering, Springer Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Highsmith, J. (2002). Agile Software Development Ecosystems, Addison-Wesley. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Kang, W. and Kilpatrick, J. (1992). Didactic transposition in mathematics textbooks, For the Learning of Mathematics 12(1), p. 2--7.Google ScholarGoogle Scholar
  10. Lewin, K. (1948). Resolving Social Conflicts; Selected Papers on Group Dynamics. Gertrude W. Lewin (ed.). New York: Harper & Row.Google ScholarGoogle Scholar
  11. Meerbaum-Salant, O. and Hazzan, O. (2008). Challenges in mentoring software development projects in the high school: Analysis according to Shulman's teacher knowledge base model, Journal of Computers in Mathematics and Science Teaching 28(1), pp. 23--43.Google ScholarGoogle Scholar
  12. Meerbaum-Salant, O. and Hazzan, O. (2010). An agile constructionist mentoring methodology for software projects in the high school, ACM Transactions on Computing Education - TOCE (former name: ACM Journal on Educational Resources in Computing - JERIC) 9(4). Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. Papert, S. (1991). Situating Constructionism. In Harel, L. and Papert, S. (Eds). Constructionism, Ablex Publishing Corporation, pp 1--12.Google ScholarGoogle Scholar
  14. Shulman, L. (1987). Knowledge and teaching: Foundations of the new reform, Harvard Educational Review, 57(1), pp. 1--22.Google ScholarGoogle ScholarCross RefCross Ref

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  1. Didactic transposition in computer science education

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        cover image ACM Inroads
        ACM Inroads  Volume 1, Issue 4
        December 2010
        75 pages
        ISSN:2153-2184
        EISSN:2153-2192
        DOI:10.1145/1869746
        Issue’s Table of Contents

        Copyright © 2010 ACM

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        Publication History

        • Published: 1 December 2010

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