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Understanding Machine Learning Through AI-powered Educational Robotics - Pilot Study with Undergraduate Students

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Robotics in Education (RiE 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 515))

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Abstract

Artificial Intelligence (AI) has influenced practically every aspect of our lives in recent years and its speed of development is accelerated every year. Many children may have used or seen AI-assistants in action. There is a broader understanding among politicians, industries, and educators across fields from computer science, AI, to education that it is crucial to promote AI literacy in K-12 schools. What is specifically urgent is to prepare K-12 students for their future professions, which might not currently exist, and become citizens capable of understanding and utilizing AI-enhanced technologies in the right way in the future so that they would not benefit some populations over others. There have been various initiatives developed focusing on promoting AI literacy from around the world. This paper reports a AI-powered educational robotics tool and the process that a group of undergraduate students went through in the development of an AI-powered educational robotics projects introducing AI literacy, specifically machine learning and training data. It specifically focuses on their experience creating training data for object recognition that they used with their robot and, as a result, it has deepened their understanding of what they intend to teach.

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Correspondence to Amy Eguchi .

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Eguchi, A. (2022). Understanding Machine Learning Through AI-powered Educational Robotics - Pilot Study with Undergraduate Students. In: Lepuschitz, W., Merdan, M., Koppensteiner, G., Balogh, R., Obdržálek, D. (eds) Robotics in Education. RiE 2022. Lecture Notes in Networks and Systems, vol 515. Springer, Cham. https://doi.org/10.1007/978-3-031-12848-6_5

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