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  • https://doi.org/10.1007/978-3-031-15226-9_36Copy DOI Icon

Machine Learning Application with AI-Robotics Tool - What We Learned from Pilot Studies

  • Aug 25, 2022
  • Amy Eguchi
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Abstract

Abstract The paper presents pilot studies exploring students’ understanding of machine learning with an AI-Robotics tool. This is a follow-up to the “Promoting AI Literacy through AI-Robotics” [1] presented at the SITE 2021 conference. Artificial Intelligence (AI) is influencing practically every aspect of our lives as it has rapidly been developed to increase its complexities. Children are not an exception. What is specifically urgent is to prepare primary and secondary students for their future professions, which might not currently exist, and become citizens capable of understanding and utilizing AI-enhanced technologies in ways that do not benefit some populations over others. There have been several AI-tools focusing on teaching students about AI developed and used in education settings. However, how deep their understanding of AI becomes one of the remaining questions. This paper explores and reports how using Teachable Machine, one of the AI-tools, with a robotic tool deepens the understanding of AI among students. Two pilot studies using Teachable Machine and AI-Robotics tool are explained and how the process that a group of undergraduate students went through in developing AI-powered educational robotics lessons helped them deepen their own understanding of machine learning and its application in physical computing is reported.KeywordsMachine learningAI-powered roboticsArtificial Intelligence literacy

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