skip to main content
10.1145/2670757.2670789acmotherconferencesArticle/Chapter ViewAbstractPublication PageswipsceConference Proceedingsconference-collections
research-article

The network of teaching excellence in computer science and master teachers

Published:05 November 2014Publication History

ABSTRACT

The current focus on computer science in the school curriculum in many countries has led to concerns about how teachers will manage this change and rise to the challenge of the new curriculum. In-service teachers have a need for professional development in computer science, both to develop their subject knowledge and their pedagogical skills.

Computing at School (CAS) has established a professional development programme called the Network of Teaching Excellence in Computer Science (NoE) to support the Computing curriculum changes in England. This programme use a model of training "Master Teachers", who are teachers with expertise in computer science as well as skills to impart this to other teachers; this model focuses on local, face-to-face, peer-to-peer delivery. Master Teachers run professional development sessions in their own schools at low cost, and offer support to their local community of teachers. The vision is that any teacher who needs to develop their skills in computer science has access to a particular individual with expertise who can support them. This paper describes the impact of the first full year of this programme on the computer science subject knowledge of teachers who have worked with Master Teachers.

References

  1. P. Bradshaw and J. Woollard. Computing At School: an emergent community of practice for a re-emergent subject. In Proceedings of the International Conference on ICT in Education, 2012.Google ScholarGoogle Scholar
  2. N. C. C. Brown, M. Kolling, T. Crick, S. Peyton-Jones, S. Humphreys, and S. Sentance. Bringing Computer Science back into Schools: Lessons from the UK. In Proceedings of the 44th ACM Technical Symposium on Computer science education, SIGCSE '13. ACM, 2013. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. N. C. C. Brown, S. Sentance, T. Crick, and S. Humphreys. Restart: The Resurgence of Computer Science in UK Schools. ACM Transactions of Computing Education, 14(2), Jun 2014. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. S. Cooper, S. Grover, and B. Simon. Building a Virtual Community of Practice for K-12 CS Teachers. Commun. ACM, 57(5):39--41, May 2014. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. CSTA. Running on Empty. Technical report, 2010.Google ScholarGoogle Scholar
  6. J. Cuny. Transforming high school computing: A call to action. ACM Inroads, 3(2):32--36, June 2012. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. CUREE. Understanding what enables high-quality professional learning. Technical report, 2013.Google ScholarGoogle Scholar
  8. B. Ericson, M. Guzdial, and M. Biggers. A Model for Improving Secondary CS Education. SIGCSE Bull., 37(1):332--336, Feb. 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. S. Fincher and J. Tenenberg. Warren's question. In Proceedings of the Third International Workshop on Computing Education Research, ICER '07, pages 51--60, New York, NY, USA, 2007. ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. J. Goode. If you build teachers, will students come? the role of teachers in broadening computer science learning for urban youth. Journal of Educational Computing Research, 36(1):65--88, 2007.Google ScholarGoogle ScholarCross RefCross Ref
  11. T. R. Guskey and K. S. Yoon. What works in Professional Development? The Leading Edge, 2009.Google ScholarGoogle ScholarCross RefCross Ref
  12. T. R. Gusky. Evaluating Professional Change. Corwin Press, 2000.Google ScholarGoogle Scholar
  13. O. Hazzan, J. Gal-Ezer, and L. Blum. A model for High School Computer Sscience Education: the four key elements that make it! In Proceedings of the 39th SIGCSE technical symposium on Computer science education, pages 281--285. ACM, 2008. ID: 84. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. A. Kennedy. Models of continuing professional development: a framework for analysis. Journal of In-Service Education, 31(2):235--250, 2005.Google ScholarGoogle ScholarCross RefCross Ref
  15. K. Lipowski, D. Jorde, M. Prenzel, and T. Seidel. Expert views on the implementation of teacher professional development in European countries. Professional Development in Education, 37(5):685--700, 11/01; 2012/06 2011.Google ScholarGoogle ScholarCross RefCross Ref
  16. P. Mayring. Qualitative content analysis. Forum of Qualitative Social Research, 1(2), Jun 2000.Google ScholarGoogle Scholar
  17. B. B. Morrison, L. Ni, and M. Guzdial. Adapting the disciplinary commons model for high school teachers: Improving recruitment, creating community. In Proceedings of the Ninth Annual International Conference on International Computing Education Research, ICER '12, pages 47--54, New York, NY, USA, 2012. ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. V. D. Opfer and D. Pedder. The lost promise of teacher professional development in England. European Journal of Teacher Education, 34(1):3--24, 2011.Google ScholarGoogle ScholarCross RefCross Ref
  19. C. Schulte, M. Hornung, S. Sentance, V. Dagiene, T. Jevsikova, N. Thota, A. Eckerdal, and A.-K. Peters. Computer science at school/cs teacher education: Koli working-group report on cs at school. In Proceedings of the 12th Koli Calling International Conference on Computing Education Research, Koli Calling '12, pages 29--38, New York, NY, USA, 2012. ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. S. Sentance, M. Dorling, and A. McNicol. Computer science in secondary schools in the uk: Ways to empower teachers. In Proceedings of the 6th International Conference on Informatics in Schools: Situation, Evolution, and Perspectives, ISSEP'13, pages 15--30, Berlin, Heidelberg, 2013. Springer-Verlag. Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. C. Silver and A. Lewins. QDA Miner 3.2 (with WordStat and Simstat) Distinguishing features and functions. 2010.Google ScholarGoogle Scholar
  22. J. Tenenberg and S. Fincher. Opening the door of the computer science classroom: The disciplinary commons. SIGCSE Bull., 39(1):514--518, Mar. 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  23. The Royal Society. Shut Down or Restart? The way forward for Computing in UK Schools. Technical Report January 2012, DES 2448, 2012.Google ScholarGoogle Scholar
  24. D. Thompson and T. Bell. Adoption of new Computer Science High School Standards by New Zealand teachers. In Proceedings of the 44th SIGCSE technical symposium on Computer science education, SIGCSE '13. ACM, 2013.Google ScholarGoogle ScholarDigital LibraryDigital Library
  25. E. Wenger. Communities of Practice and Learning Systems. Organization, 7(2):225--246, 2000.Google ScholarGoogle ScholarCross RefCross Ref

Index Terms

  1. The network of teaching excellence in computer science and master teachers

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Other conferences
      WiPSCE '14: Proceedings of the 9th Workshop in Primary and Secondary Computing Education
      November 2014
      150 pages
      ISBN:9781450332507
      DOI:10.1145/2670757

      Copyright © 2014 ACM

      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 5 November 2014

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • research-article

      Acceptance Rates

      Overall Acceptance Rate104of279submissions,37%

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader