Teaching Machine Learning in K-12 Using Robotics

Artificial intelligence (AI) and machine learning (ML) are pursued in most fields of data analysis, and have already become a part of everyday applications. As AI and ML are an integral part of the Industry 4.0 era, it becomes necessary to introduce a basic understanding of what AI and ML means and...

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Bibliographic Details
Main Authors: Georgios Karalekas (Author), Stavros Vologiannidis (Author), John Kalomiros (Author)
Format: Book
Published: MDPI AG, 2023-01-01T00:00:00Z.
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Summary:Artificial intelligence (AI) and machine learning (ML) are pursued in most fields of data analysis, and have already become a part of everyday applications. As AI and ML are an integral part of the Industry 4.0 era, it becomes necessary to introduce a basic understanding of what AI and ML means and how it can be applied in K-12 education. Although educators need to prepare for this revolution, it is generally admitted that there is a shortage of suitable tools and methods toward this goal. In this article, we propose that it is necessary to design courses for machine learning using STEM-based robotic tools. We present selected robotic kits with ML capabilities that can be used to target concepts of machine learning in K-12 classrooms. Finally, we present our own conceptual rules on how constructivist educational robotics with AI capabilities can effectively support teaching scenarios in future K-12 curricula.
Item Description:10.3390/educsci13010067
2227-7102