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A systematic review of learning theory on computational thinking

Link to publisher's homepage at https://johdec.unimap.edu.my/

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Bibliographic Details
Main Authors: Wan Nor Ashiqin, Wan Ali, Wan Ahmad Jaafar, Wan Yahaya
Other Authors: ashiqinali@unimap.edu.my
Format: Article
Language:English
Published: Center for Communication Technology and Human Development (UniMAP) 2021
Subjects:
Systematic review
Computational thinking
Learning theory
Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/70408
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spelling my.unimap-704082021-03-23T00:44:54Z A systematic review of learning theory on computational thinking Wan Nor Ashiqin, Wan Ali Wan Ahmad Jaafar, Wan Yahaya ashiqinali@unimap.edu.my Systematic review Computational thinking Learning theory Link to publisher's homepage at https://johdec.unimap.edu.my/ This paper reviews systematically theory used in the past studies on computational thinking, learning theory used in past studies on computational thinking and explore how these learning theories on computational thinking can be improved for future studies conducted in Malaysia. Today, computational thinking is not just an ability that only focuses on computer scientist and being adapted by them, but an ability for everyone needs. It is because computational thinking is changing the way we think and become an integral part of our daily life. 18 out of 126 articles were identified for analytical purposes in tandem with the observed theme under keywords searched “theory AND computational thinking, theory on computational thinking” and 2 out of 4 articles were identified under keywords searched “learning theory AND computational thinking, learning theory on computational thinking”. This paper aims to study what are the recognised learning theory being studied and focused on computational thinking scope research areas. Further exploration on the type of research theory, type of intervention and respondent as well as technology being used or developed are discussed in details in this paper. The study findings highlight that constructivist learning theory is the well-known learning theory being used in computational thinking research area which focuses on primary and secondary school students in worldwide. 2021-03-23T00:44:53Z 2021-03-23T00:44:53Z 2020 Article Journal of Human Development and Communication (JoHDEC), vol.9, 2020, pages 11-22 2289-2702 (printed) 2232-1535 (online) http://dspace.unimap.edu.my:80/xmlui/handle/123456789/70408 https://johdec.unimap.edu.my/ en Center for Communication Technology and Human Development (UniMAP)
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Systematic review
Computational thinking
Learning theory
spellingShingle Systematic review
Computational thinking
Learning theory
Wan Nor Ashiqin, Wan Ali
Wan Ahmad Jaafar, Wan Yahaya
A systematic review of learning theory on computational thinking
description Link to publisher's homepage at https://johdec.unimap.edu.my/
author2 ashiqinali@unimap.edu.my
author_facet ashiqinali@unimap.edu.my
Wan Nor Ashiqin, Wan Ali
Wan Ahmad Jaafar, Wan Yahaya
format Article
author Wan Nor Ashiqin, Wan Ali
Wan Ahmad Jaafar, Wan Yahaya
author_sort Wan Nor Ashiqin, Wan Ali
title A systematic review of learning theory on computational thinking
title_short A systematic review of learning theory on computational thinking
title_full A systematic review of learning theory on computational thinking
title_fullStr A systematic review of learning theory on computational thinking
title_full_unstemmed A systematic review of learning theory on computational thinking
title_sort systematic review of learning theory on computational thinking
publisher Center for Communication Technology and Human Development (UniMAP)
publishDate 2021
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/70408
_version_ 1698698724311564288
score 13.214268

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