The Darmstadt Model: A First Step towards a Research Framework for Computer Science Education in Schools

  • Peter Hubwieser
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7780)

Abstract

Due to the substantial differences of preconditions, circumstances and influence factors, it is often very difficult to compare or transfer research results in the field of Computer Science Education (CSE) in schools from one country to another. For this purpose we have started the development of a specific framework that, at the end, should reflect all factors that might be relevant for CSE. We collected five extensive case studies from five different countries and performed a qualitative text analysis on those, which was guided by the categories of the well-known Berlin Model as an initial theory. During the coding process we had to realize that this theory was not sufficient in many respects. At first, we noted that we had to deal with three different dimensions. Additionally, we found that we would need more categories, up to 70 at the end. The result of our coding process represents a first step towards the desired framework, that of course, has to be improved still a lot. This will be done by coding further case studies, extending, defining and explicating the categories.

Keywords

Computer sciene education research framework qualitative text analysis 

References

  1. 1.
    Tucker, A., Seehorn, D., Carey, S., Moix, D., Fuschetto, B., Lee, I., O’Grady-Cuniff, D., Stephenson, C., Verno, A.: CSTA K-12 Computer Science Standards. CSTA Standards Task Force (2011) (revised), http://csta.acm.org/Curriculum/sub/CurrFiles/CSTA_K-12_CSS.pdf
  2. 2.
    Forbes, J.: The CS 10K Project: mobilizing the computing community around high school education. J. Comput. Sci. Coll. 28(1), 5 (2012)MathSciNetGoogle Scholar
  3. 3.
    The Royal Society: Shutdown or Restart. The way forward for computing in UK schools, London (2012), http://royalsociety.org/uploadedFiles/Royal_Society_Content/education/policy/computing-in-schools/2012-01-12-Computing-in-Schools.pdf
  4. 4.
    Bell, T., Andreae, P., Lambert, L.: Computer Science in New Zealand high schools. In: Proceedings of the Twelfth Australasian Conference on Computing Education, vol. 103, pp. 15–22. Australian Computer Society, Inc., Brisbane (2010)Google Scholar
  5. 5.
    Hubwieser, P., Armoni, M., Brinda, T., Dagiene, V., Diethelm, I., Giannakos, M.N., Knobelsdorf, M., Magenheim, J., Mittermeir, R.T., Schubert, S.E.: Computer science/informatics in secondary education. In: Proceedings of the 16th Annual Conference Reports on Innovation and Technology in Computer Science Education, Working Group Reports, pp. 19–38. ACM, New York (2011)CrossRefGoogle Scholar
  6. 6.
    Heimann, P., Otto, G., Schulz, W.: Unterricht. Analyse und Planung. Schroedel, Hannover (1965)Google Scholar
  7. 7.
    Brinda, T., Hubwieser, P.: A Lecture about Teaching Informatics in Secondary Education - Lecture Design and First Experiences: Poster. In: Proceedings of the 15th Annual Conference on Innovation and Technology in Computer Science Education (ITiCSE 2010), p. 320. ACM (2010)Google Scholar
  8. 8.
    Brinda, T., Hubwieser, P.: How to teach didactics of informatics to informatics student teachers. In: New Developments in ICT and Informatics Education. IFIP (2010)Google Scholar
  9. 9.
    Uljens, M.: School didactics and learning. A school didactic model framing an analysis of pedagogical implications of learning theory. Psychology Press, Hove (1997)CrossRefGoogle Scholar
  10. 10.
    Heimann, P.: Didaktik als Theorie und Lehre. Die Deutsche Schule, p. 409 (1962)Google Scholar
  11. 11.
    Mayring, P.: Qualitative Content Analysis. Forum: Qualitative Social Research 1(2) (2000)Google Scholar
  12. 12.
    Malmi, L., Sheard, J., Simon, Bednarik, R., Helminen, J., Korhonen, A., Myller, N., Sorva, J., Taherkhani, A.: Characterizing research in computing education: a preliminary analysis of the literature. In: Proceedings of the Sixth International Workshop on Computing Education Research, pp. 3–12. ACM, New York (2010)Google Scholar
  13. 13.
    Hubwieser, P.: Computer Science Education in Secondary Schools. The Introduction of a New Compulsory Subject. Trans. Comput. Educ. 12(4), 16:1–16:41 (2012)CrossRefGoogle Scholar
  14. 14.
    Piaget, J.: The psychology of intelligence. Routledge, London (2001)Google Scholar
  15. 15.
    Sysło, M.M., Kwiatkowska, A.B.: The Challenging Face of Informatics Education in Poland. In: Mittermeir, R.T., Sysło, M.M. (eds.) ISSEP 2008. LNCS, vol. 5090, pp. 1–18. Springer, Heidelberg (2008)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Peter Hubwieser
    • 1
  1. 1.School of EducationTechnische Universität MünchenGarching b. MünchenGermany

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