Exploring and comparing computational thinking skills in students who take GCSE Computer Science and those who do not

  • Lauren Gillott Mulberry Academy Shoreditch
  • Andrew Joyce-Gibbons Grupo de Análisis para el Desarrollo de Perú
  • Elizabeth Hidson University of Sunderland http://orcid.org/0000-0001-7387-5666
Keywords: computational thinking, computer science, computing, automation, GCSE

Abstract

This study compares computational thinking skills evidenced by two groups of students in two different secondary schools: one group per school was studying a qualification in Computer Science. The aim was to establish which elements of computational thinking were more prevalent in students studying Computer Science to a higher level. This in turn would evidence those elements likely to be present from their earlier computing education or through their complementary studies in Science or Mathematics, which all students also studied. Understanding this difference was important to identify any increased competence in computational thinking that was present in the Computer Science groups. Artefact-based interviews were carried out using questions and practical computing problems designed to elicit and demonstrate the students’ computational thinking skills based on the Brennan and Resnick (2016) model of computational concepts, practices and perspectives. Analysis of students’ responses showed surprisingly little difference between the computational thinking practices of the two groups in relation to abstraction, decomposition, evaluation, generalisation/reusing, logical reasoning and debugging/testing. The study concludes that general computational thinking skills can be developed either at a lower level of study or in cognate curriculum areas, leaving computer science as the rightful locus of computational thinking for automation.  

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Author Biographies

Lauren Gillott, Mulberry Academy Shoreditch
Lauren Gillott is a Computer Science teacher at Mulberry Academy Shoreditch, London; she researches and teaches Computer Science and computational thinking.
Andrew Joyce-Gibbons, Grupo de Análisis para el Desarrollo de Perú
Andrew Joyce-Gibbons is an Honorary Fellow at Durham University School of Education; his research interests focus on pedagogies for collaborative learning, CSCL and Computational Thinking.
Elizabeth Hidson, University of Sunderland
Elizabeth Hidson is a Senior Lecturer in Education at the University of Sunderland; her research interests include technology-enhanced learning and computing education.

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Published
2020-05-05
How to Cite
Gillott, L., Joyce-Gibbons, A., & Hidson, E. (2020). Exploring and comparing computational thinking skills in students who take GCSE Computer Science and those who do not. International Journal of Computer Science Education in Schools, 3(4), 3-22. https://doi.org/10.21585/ijcses.v3i4.77