Teaching Machine Learning in K–12 Classroom: Pedagogical and Technological Trajectories for Artificial Intelligence Education

نویسندگان

چکیده

Over the past decades, numerous practical applications of machine learning techniques have shown potential AI-driven and data-driven approaches in a large number computing fields. Machine is increasingly included curricula higher education, quickly growing initiatives are expanding it K-12 too. As enters understanding how intuition agency context such systems developed becomes key research area. But as schools teachers already struggling with integrating traditional computational thinking artificial intelligence into school curricula, challenges behind teaching an even more daunting challenge for education research. Despite central position AI field modern computing, body literature contains remarkably few studies people learn to train, test, improve, deploy systems. This especially true curriculum space. article charts emerging trajectories educational practice, theory, technology related education. The situates existing work general, describes some differences that educators should take account when facing this challenge. focuses on aspects paradigm shift will be required order successfully integrate broader curricula. A crucial step abandoning belief rule-based “traditional” programming aspect building block developing next generation thinking.

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ژورنال

عنوان ژورنال: IEEE Access

سال: 2021

ISSN: ['2169-3536']

DOI: https://doi.org/10.1109/access.2021.3097962