A systematic review of learning theory on computational thinking
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Date
2020Author
Wan Nor Ashiqin, Wan Ali
Wan Ahmad Jaafar, Wan Yahaya
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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.