kth.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
What Makes Computational Thinking so Troublesome?
KTH, School of Industrial Engineering and Management (ITM), Learning.ORCID iD: 0000-0002-5184-4743
Univ Eastern Finland, Sch Comp, Joensuu, Finland..
Univ Eastern Finland, Sch Appl Educ Sci & Teacher Educ, Joensuu, Finland..
Univ Eastern Finland, Sch Appl Educ Sci & Teacher Educ, Joensuu, Finland..
2021 (English)In: 2021 IEEE frontiers in education conference (FIE 2021), Institute of Electrical and Electronics Engineers (IEEE) , 2021Conference paper, Published paper (Refereed)
Abstract [en]

This Research Full Paper addresses the definition and implementation of Computational Thinking (CT) in K-12 education. CT is the focus of ongoing debate about the future of computing in schools, and this poses a number of challenges. Early discussions on the topic were plagued by vague and all-encompassing definitions of the term, which raised awareness of a need for school learning focused on emerging computational systems and their impact on society and the lives of citizens, but failed to address what should actually be included in the revised curricula. As some of those issues have been addressed, a number of problems remain. This paper analyses some recent and future developments in the field of computing, and expands the discussion on the vexed question of the nature and limits of computational thinking. We ask whether the current mainstream literature and curriculum for CT is well positioned in terms of the future towards which computing is heading. We conclude by summarising the implications these questions have for the future development of K-12 curricula and teaching practices.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2021.
Keywords [en]
computational thinking, machine learning, programming paradigms, artificial intelligence, data agency
National Category
Public Administration Studies
Identifiers
URN: urn:nbn:se:kth:diva-315888DOI: 10.1109/FIE49875.2021.9637416ISI: 000821947700305Scopus ID: 2-s2.0-85123857944OAI: oai:DiVA.org:kth-315888DiVA, id: diva2:1684825
Conference
IEEE Frontiers in Education Conference (FIE), OCT 13-16, 2021, Lincoln, NE
Note

Part of proceedings: ISBN 978-1-6654-3851-3

QC 20220728

Available from: 2022-07-28 Created: 2022-07-28 Last updated: 2025-02-21Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Pears, Arnold

Search in DiVA

By author/editor
Pears, Arnold
By organisation
Learning
Public Administration Studies

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 61 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf