Extended Cognition Hypothesis Applied to Computational Thinking in Computer Science Education

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Abstract

Computational thinking is a much-used concept in computer science education. Here we examine the concept from the viewpoint of the extended cognition hypothesis. The analysis reveals that the extent of the concept is limited by its strong historical roots in computer science and software engineering. According to the extended cognition hypothesis, there is no meaningful distinction between human cognitive functions and the technology. This standpoint promotes a broader interpretation of the human-technology interaction. Human cognitive processes spontaneously adapt available technology enhanced skills when technology is used in cognitively relevant levels and modalities. A new concept technology synchronized thinking is presented to denote this conclusion. More diverse and practical approach is suggested for the computer scienceeducation.

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APA

Letonsaari, M. (2018). Extended Cognition Hypothesis Applied to Computational Thinking in Computer Science Education. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10862 LNCS, pp. 304–317). Springer Verlag. https://doi.org/10.1007/978-3-319-93713-7_25

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