Investigating the Effectiveness of AI-Supported Applications for Chemistry Teachers

dc.contributor.authorAkhmetova A.
dc.date.accessioned2026-09-08T04:51:15Z
dc.date.available2026-09-08T04:51:15Z
dc.date.issued2026
dc.description.abstractIn this study, the impact of AI-assisted applications on teachers' teaching practices, namely the usage of certain AI applications, challenges in using them, and the required professional development needs were investigated. Qualitative content analysis of 30 peer-reviewed scientific papers was complemented by semi-structured interviews of 15 chemistry teachers, thus making it possible to verify theoretical insights in practice. It turned out that using AI technology can significantly help in saving teachers' time while grading, planning lessons, and explaining complex chemistry notions through visualizations. Nevertheless, the significant discrepancy occurred in terms of the tools that teachers utilized. Namely, most of the interviewed teachers used only those technologies that generate text based on the input, such as ChatGPT, neglecting the technologies more relevant for chemistry learning. The reasons behind this include low reliability of AI-based solutions, digital divide, and a lack of specialized professional development programs. Therefore, the results showed that AI is very promising for chemistry teaching. However, its implementation requires three main factors - accessibility, trustworthiness, and integration assistance.
dc.identifier.citationAkhmetova A / Investigating the Effectiveness of AI-Supported Applications for Chemistry Teachers / SDU University / Department of Pedagogy of Natural Sciences
dc.identifier.urihttps://repository.sdu.edu.kz/handle/123456789/2649
dc.language.isoen
dc.publisherSDU University
dc.subjectArtificial Intelligence
dc.subjectchemistry teachers
dc.subjectqualitative design
dc.subjectchemistry education
dc.titleInvestigating the Effectiveness of AI-Supported Applications for Chemistry Teachers
dc.typeThesis

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