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Title:
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UNLOCKING METACOGNITION THROUGH COMPUTATIONAL THINKING |
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Author(s):
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Giulia Paludo |
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ISBN:
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978-989-8704-72-6 |
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Editors:
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Demetrios G. Sampson, Dirk Ifenthaler and Pedro Isaías |
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Year:
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2025 |
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Edition:
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Single |
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Keywords:
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Computational Thinking, Metacognition, Educational Design, Problem Solving, Self-Regulated Learning |
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Type:
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Short Paper |
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First Page:
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383 |
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Last Page:
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386 |
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Language:
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English |
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Cover:
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Full Contents:
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Paper Abstract:
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Computational Thinking (CT) is the mental process of formulating problems and their solutions in such a way that allows
a third actor, whether human or machine, to effectively implement them. It includes a set of underlying processes such as
decomposition, abstraction, algorithmic thinking, and solution evaluation. The cognitive underpinnings of CT involve
advanced cognitive abilities, Higher Order Thinking Skills (HOTS) such as analysis, planning, evaluation and creativity
which are highly supported by metacognition which plays a pivotal role in enhancing learning and problem solving
processes. With this purpose, a scoping review was performed and from the literature retrieved, CT and metacognition
appear to have a strong connection, however this relationship is still little explored. This contribution investigates, through
a scoping review, the bidirectional relationship between CT and Metacognition, also in regard to educational practices. |
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