A systematic review of artificial intelligence in high school STEM education research
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Aigul I. Akhmetova 1 , Damira M. Sovetkanova 1 * , Lyazzat K. Komekbayeva 2 , Assan E. Abdrakhmanov 3 , Daniyar Yessenuly 4 , Oral S. Serikova 5
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1 Abai Kazakh National Pedagogical University, Almaty, KAZAKHSTAN2 Q University, Almaty, KAZAKHSTAN3 National Defense University, Astana, KAZAKHSTAN4 Almaty Humanitarian-Economic University, Almaty, KAZAKHSTAN5 Kazakh National Women’s Teacher Training University, Almaty, KAZAKHSTAN* Corresponding Author

Abstract

The use of artificial intelligence (AI) in STEM education is becoming increasingly important, as AI has the potential to change teaching and learning methods. However, no review studies focus on summarizing research on the use of AI in STEM education in high schools. For this reason, this study aims to systematically review research on the use of AI in STEM education in high schools. We considered research articles published in journals indexed in the Scopus database. The results show that participants ranged from 1 to 50 and researchers generally used a single-group experimental teaching method. In addition, our results showed that the researchers used a variety of AI technologies in the high school context. In addition, the results showed that many variables were used to promote students in STEM education through AI-based activities. Finally, almost all studies reported positive and significant effects on students’ cognitive or affective development. Overall, our findings from the review emphasize the importance of harnessing the potential of AI. More research is needed to assess learner outcomes and to conduct longitudinal studies with control or comparison groups to evaluate the long-term effects of AI interventions and establish causal relationships.

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Article Type: Review Article

EURASIA J Math Sci Tech Ed, Volume 21, Issue 4, April 2025, Article No: em2623

https://doi.org/10.29333/ejmste/16222

Publication date: 01 Apr 2025

Online publication date: 31 Mar 2025

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Article Downloads: 388

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