Relationship between computational thinking and a measure of intelligence as a general problem-solving ability

Kay Dennis Boom, Matt Bower, Amaël Arguel, Jens Siemon, Antonia Scholkmann

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

3 Citations (Scopus)
284 Downloads (Pure)

Abstract

Computational thinking – the ability to solve problems using concepts from computer science – has been widely discussed in the computer science education field. However, the relationship of computational thinking to intelligence – seen as the general ability to understand and solve complex problems – is contestable and has not been extensively explored. The present study addressed the question of how computational thinking is related to intelligence. To find an answer to this question, 71 pre-service teacher students completed a survey with 20 Bebras tasks as a measure of computational thinking and a non-verbal intelligence test (TONI-3) to assess their general problem-solving ability. The large and significant correlation of r(70) = .53, p < .001, indicates that both concepts are highly related. Implications of the findings are discussed, including the meaning of the relationship between computational thinking and intelligence during teaching and assessment, and the possibility of more holistic measures of computational thinking that incorporate procedural aspects.

Original languageEnglish
Title of host publicationITiCSE 2018
Subtitle of host publicationproceedings of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education
Place of PublicationNew York, NY
PublisherAssociation for Computing Machinery
Pages206-211
Number of pages6
ISBN (Electronic)9781450357074
DOIs
Publication statusPublished - 2018
EventAnnual ACM Conference on Innovation and Technology in Computer Science Education (23rd : 2018) - Larnaca, Cyprus
Duration: 2 Jul 20184 Jul 2018

Conference

ConferenceAnnual ACM Conference on Innovation and Technology in Computer Science Education (23rd : 2018)
Abbreviated titleITiCSE 2018
CountryCyprus
CityLarnaca
Period2/07/184/07/18

Keywords

  • computational thinking
  • non-verbal intelligence
  • Bebras Challenge
  • problem-solving
  • discriminate validity

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    Boom, K. D., Bower, M., Arguel, A., Siemon, J., & Scholkmann, A. (2018). Relationship between computational thinking and a measure of intelligence as a general problem-solving ability. In ITiCSE 2018: proceedings of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education (pp. 206-211). New York, NY: Association for Computing Machinery. https://doi.org/10.1145/3197091.3197104