Abstract
Computational thinking (CT) is an approach to problem-solving that has been introduced in the educational curriculum in K-12 in several countries around the world. This approach is based on a set of concepts and principles that are the foundation on which CT education is based. Artificial intelligence (AI) has recently started being incorporated in K-12 education and therefore some guidelines and frameworks are starting to be defined to allow teachers impart AI knowledge effectively. We conducted a limited scoped literature review aiming at finding some clues as for the interrelation that may exist between CT and AI. Our findings suggest that there are several CT concepts underlying AI techniques thus having CT education could contribute to a better understanding of AI. We also found some challenges of integrating CT and AI as there are some important differences between these two worlds that must be considered when teaching them as part of a whole.
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Zerega, R., Milrad, M. (2023). Computational Thinking & Artificial Intelligence in K-12 Education: Two Distinct but Still Complementary Worlds. In: Milrad, M., et al. Methodologies and Intelligent Systems for Technology Enhanced Learning, 13th International Conference. MIS4TEL 2023. Lecture Notes in Networks and Systems, vol 764. Springer, Cham. https://doi.org/10.1007/978-3-031-41226-4_22
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