Kids making AI: Integrating Machine Learning, Gamification, and Social Context in STEM Education

Conference proceedings article

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Publication Details

Author list: Sakulkueakulsuk B., Witoon S., Ngarmkajornwiwat P., Pataranutapom P., Surareungchai W., Pataranutaporn P., Subsoontorn P.

Publisher: Hindawi

Publication year: 2019

Start page: 1005

End page: 1010

Number of pages: 6

ISBN: 9781538665220

ISSN: 0146-9428

eISSN: 1745-4557

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85062060296&doi=10.1109%2fTALE.2018.8615249&partnerID=40&md5=730bc1f4bc29477f007fdbbe17a11304

Languages: English-Great Britain (EN-GB)

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Abstract

We present an approach in STEM education at the intersection of machine learning, gamification, and social context based in Thailand. We designed an agricultural based AI challenge that fostered students to learn the process of creating machine learning models in the form of a game with the emphasis on the Four P's of Creative Learning (Projects, Passion, Play, and Peers). Our goal is to come up with an innovative education model that encourages the students to connect the emerging technological solutions such as AI with the pressing realworld problems in the playful environment. We found that machine learning can be used as a tool to successfully conduct interdisciplinary education at the middle school level. ฉ 2018 IEEE.

Keywords

AI, STEM