Eurasia Journal of Mathematics Science and Technology Education

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A systematic review of artificial intelligence in high school STEM education research
(Modestum Limited, 2025-03-31)
Aigul I. Akhmetova
;
Damira Sovetkanova
;
Komekbayeva Lyazzat
;
Asan Abdrakhmanov
;
Daniyar Yessenuly
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.
Цитирования (OpenAlex) 24Цитирования (OpenCitations) 11
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Assessment of artificial intelligence literacy of preschool administrators in Kazakhstan
(Modestum Limited, 2026-02-03)
Sandugash S. Komekova
;
Agima A. Makhanbetova
;
Aigul I. Akhmetova
;
Gulbarshyn Sh. Yernazarova
;
Yücel Gelişli
This study aims to determine the current state of artificial intelligence (AI) literacy among preschool administrators in Kazakhstan and evaluate its implementation in science, technology, engineering, and mathematics (STEM) contexts. In this study, a correlational survey design within the scope of quantitative methods was employed. The sample consisted of 328 administrators working in different regions, who responded to online forms. Personal information form, AI literacy scale, and AI STEM leadership scale were used as data collection tools in the research. Data were collected during September and October 2025. Analysis was performed using independent samples t-test, ANOVA test, Mann Whitney U test and hierarchical regression. This study reveals that preschool administrators in Kazakhstan possess moderate-to-high awareness of AI technologies, yet significant variations exist in their competency levels. The findings demonstrate that practical usage and critical evaluation skills are the most critical factors for successful STEM integration. The pronounced effect of demographic variables such as gender, education level, and years of service on AI literacy emphasizes that technology adoption in educational leadership is a complex process requiring tailored intervention programs for different administrator groups. The widespread use of general-purpose tools like ChatGPT alongside limited adoption of education-specific technologies indicates that administrators are navigating the AI landscape independently without adequate institutional guidance and strategic frameworks. In this context, targeted professional development programs should be designed for groups with lower AI literacy levels, and systematic training on the introduction and use of education-specific AI tools should be organized. Furthermore, institutional strategic frameworks and guidance mechanisms for AI integration need to be established, and longitudinal research examining the relationship between administrators’ AI literacy and classroom-level STEM outcomes should be conducted.

Eurasia Journal of Mathematics Science and Technology Education

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