Encyclopedia of Education and Information Technologies

2020 Edition
| Editors: Arthur Tatnall

Curricula in Computer Science

  • Mary E. WebbEmail author
Reference work entry
DOI: https://doi.org/10.1007/978-3-030-10576-1_7


In recent years, a number of reports from various countries have expressed concerns about Computer Science being neglected and school curricula not serving learners’ or their countries’ needs well (Joint Informatics Europe and ACM Europe Working Group on Informatics Education 2013; The Royal Society 2012; Wilson et al. 2010). Subsequently many countries have reviewed their curricula and in some cases brought in major reforms that focus on incorporating more Computer Science (Webb et al. 2017). This article aims to review concerns and recent changes and to examine their rationale. Furthermore, the article discusses the challenges associated with achieving a curriculum, incorporating Computer Science, that is fit for purpose. First key terminology in relation to Computer Science curricula is defined since variations in the use of terminology can be a source of confusion.

Terminology and Definitions

When discussing curricula for Computer Science, the need to identify an...
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  1. ACM (2003) A model curriculum for K-12 Computer Science: final report of the ACM K-12 task force curriculum committee. ACM, New YorkGoogle Scholar
  2. Bruner JS (1960) The process of education. Harvard University Press, Cambridge, MAGoogle Scholar
  3. Denning PJ (2007) The profession of IT: computing is a natural science. Commun ACM 50:13–18CrossRefGoogle Scholar
  4. Department for Education (2013) National curriculum in England: computing programmes of study. London, England. available at: https://www.gov.uk/government/publications/national-curriculum-in-england-computing-programmes-of-study
  5. Duncan C, Bell T, Tanimoto S (2015) Should your 8-year-old learn coding? In: Proceedings of the 9th workshop in primary and secondary computing education (WIPSCE 2015). ACM, New York, 2670774, pp 60–69Google Scholar
  6. Fluck A, Webb ME, Cox M, Angeli C, Malyn-Smith J, Voogt J, Zagami J (2016) Arguing for Computer Science in the school curriculum. Educ Technol Soc 19:38–46Google Scholar
  7. Joint Informatics Europe & ACM Europe Working Group on Informatics Education (2013) Informatics education: Europe cannot afford to miss the boat: report of the joint Informatics Europe & ACM Europe Working Group on Informatics EducationGoogle Scholar
  8. Ministry of Education New Zealand (2017) Digital technologies|Hangarau Matihiko. Draft for consultation. Available at: https://education.govt.nz/assets/Documents/Ministry/consultations/DT-consultation/DTCP1701-Digital-Technologies-Hangarau-Matihiko-ENG.pdf
  9. Papert S (1996) An exploration in the space of mathematics educations. Int J Comput Math Learn 1:95–123Google Scholar
  10. Rich KM, Strickland C, Binkowski TA, Moran C, Franklin D (2018) K–8 learning trajectories derived from research literature: sequence, repetition, conditionals. ACM Inroads 9:46–55CrossRefGoogle Scholar
  11. Robins A, Rountree J, Rountree N (2003) Learning and teaching programming: a review and discussion. Comput Sci Educ 13:137–172CrossRefGoogle Scholar
  12. Sahami M, Roach S, Cuadros-Vargas E, LeBlanc R (2013) ACM/IEEE-CS Computer Science curriculum 2013: reviewing the ironman report. In: Proceeding of the 44th ACM technical symposium on Computer Science education. ACM, Denver, pp 13–14Google Scholar
  13. Sztajn P, Confrey J, Wilson PH, Edgington C (2012) Learning trajectory based instruction: toward a theory of teaching. Educ Res 41:147–156CrossRefGoogle Scholar
  14. The Royal Society (2012) Shut down or restart? The way forward for computing in UK schools. The Royal Society, LondonGoogle Scholar
  15. Webb ME, Fluck A, Cox M, Angeli-Valanides C, Malyn-Smith J, Voogt J, Zagami J (2015) Thematic Working Group 9: curriculum – advancing understanding of the roles of Computer Science/Informatics in the curriculum. In: Lai K-W (ed) EDUsummIT 2015 summary report: technology advance quality learning for all. Bangkok, pp 60–69, available at: http://www.curtin.edu.au/edusummit/local/docs/edusummit2015-ebook.pdf
  16. Webb ME, Davis N, Bell T, Katz YJ, Reynolds N, Chambers DP, Sysło MM (2017) Computer Science in K-12 school curricula of the 2lst century: why, what and when? Educ Inf Technol 22:445–468CrossRefGoogle Scholar
  17. Wilson C, Sudol LA, Stephenson C, Stehlik M (2010) Running on empty: the failure to teach K-12 Computer Science in the digital age. Association for Computing Machinery (ACM), Computer Science Teachers Association (CSTA), New YorkGoogle Scholar
  18. Winch C (2013) Curriculum design and epistemic ascent. J Philos Educ 47:128–146CrossRefGoogle Scholar
  19. Wing J (2006) Computational thinking. Commun ACM 49:33–36CrossRefGoogle Scholar
  20. Young M (2013) Overcoming the crisis in curriculum theory: a knowledge-based approach. J Curric Stud 45:101–118CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.King’s College LondonLondonUK

Section editors and affiliations

  • Sigrid Schubert
    • 1
  1. 1.Faculty IV: Science and TechnologyUniversity of SiegenSiegenGermany