AI and STEM Is it Possible to Merge the Two Worlds? Determinants and Perspectives
DOI:
https://doi.org/10.51724/hjstemed.v4i1.58Keywords:
AI, Education, Generative AI, STEM, TPACKAbstract
Over the last three decades, discussions, rhetoric, recommendations have proposed numerous suggestions for the integration of AI in Education (AI Ed). Research on AI Ed focuses on its goals, how it is applied in teaching and learning sequences, how it is perceived by teachers and students as well as by policy makers. Other issues closely related to AI Ed are: a) the difficulty in defining AI due to the interdisciplinary nature of the field, b) the possibility of AI Ed for learning that is more adaptive, inclusive, and engaging, c) the effective encompassment of assessment, d) the predictive tools AI Ed provides, e) the relation of TPACK with generative AI, f) the epistemology of STEM with the impact of AI, and also g) ethics considerations.
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