Jansen, Marc, Kohen-Vacs, Dan, Otero, Nuno ORCID: 0000-0003-2446-8727 and Milrad, Marcelo (2018) A complementary view for better understanding the term computational thinking. In: Proceedings of the International Conference on Computational Thinking Education 2018. CoolThink@JC . The Hong Kong Jockey Club, The Education University of Hong Kong, Hong Kong, pp. 2-7. ISBN 978-9887703457 ISSN 2664-035X (Print), 2664-5661 (Online)

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Abstract

The term Computational Thinking is closely related to efforts connected to teach a systematic and well-structured way of problem solving that includes a set of tools and techniques used in Computer Science. While substantial research in this field has shown promising outcomes concerning distinct intervention programs and teaching initiatives, the term Computational Thinking itself requires to be revised in order to get a wider consensus about its meaning and purpose. This paper contributes to the ongoing quest concerning the definition of the term by starting with a fundamental perspective on computational theory and corresponding concepts in order to describe the theoretical building blocks of a systematic view to further elaborate on an approach for teaching and learning about Computational Thinking. Additionally, based on this foundational effort, more advanced concepts are presented and discussed in order to better understand this domain. Finally, the paper identifies and discusses a set of relevant challenges taking a cognitive psychology perspective on Computational Thinking.

Item Type:	Conference Proceedings
Title of Proceedings:	Proceedings of the International Conference on Computational Thinking Education 2018
Additional Information:	Unmapped bibliographic data: JO - CoolThink@ JC. International Conference on Computational Thinking Education 2018. 14-16 June 2018 [Field not mapped to EPrints]
Uncontrolled Keywords:	computational thinking; 21st century skills; computability; cognitive psychology; knowledge transfer; multiple external representations
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / School / Research Centre / Research Group:	Faculty of Engineering & Science Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS)
Last Modified:	07 Jun 2023 14:51
URI:	http://gala.gre.ac.uk/id/eprint/38204

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