A systematic review of artificial intelligence in high school STEM education research
Aigul I. Akhmetova, Damira M. Sovetkanova, Lyazzat K. Komekbayeva, Assan E. Abdrakhmanov, Daniyar Yessenuly, Oral S. Serikova
Source 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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