ML4STEM Professional Development Program: Enriching K-12 STEM Teaching with Machine Learning

Autor/inn/en	Tang, Jingwan; Zhou, Xiaofei; Wan, Xiaoyu; Daley, Michael; Bai, Zhen
Titel	ML4STEM Professional Development Program: Enriching K-12 STEM Teaching with Machine Learning
Quelle	In: International Journal of Artificial Intelligence in Education, 33 (2023) 1, S.185-224 (40 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Bai, Zhen)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1560-4292
DOI	10.1007/s40593-022-00292-4
Schlagwörter	STEM Education; Artificial Intelligence; Elementary School Teachers; Secondary School Teachers; Faculty Development; Technology Integration; Educational Innovation; Program Effectiveness; Teacher Attitudes + Suchen Sie Ihr Suchwort? STEM; Künstliche Intelligenz; Elementary school; Teacher; Teachers; Grundschule; Volksschule; Lehrer; Lehrerin; Lehrende; Instructional innovation; Bildungsinnovation; Lehrerverhalten
Abstract	The advances of machine learning (ML) in scientific discovery (SD) reveal exciting opportunities to utilize it as a cross-cutting tool for inquiry-based learning in K-12 STEM classrooms. There are, however, limited efforts on providing teachers with sufficient knowledge and skills to integrate ML into teaching. Our study addresses this gap by proposing a professional development (PD) program named ML4STEM. Based on existing research on supporting teacher learning in innovative technology integration, ML4STEM is composed of Teachers-as-Learners and Teachers-as-Designers sessions. It integrates an accessible ML learning platform designed for students with limited math and computing skills. We implemented this PD program and evaluated its effectiveness with 18 K-12 STEM teachers. Findings confirm that ML4STEM successfully develops teachers' understanding of teaching STEM with ML as well as fosters positive attitudes toward applying the ML as an in-class teaching technology. Discussions on the implications of our findings from ML4STEM are provided for future PD researchers and designers. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01