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Item Open Access REVIEW ON CONTENT KNOWLEDGE OF CHEMISTRY TEACHERS(Faculty of Education & Humanities, 2024) Turashov T.; Satilmis H.Y.Chemistry plays a vital role in developing scientific literacy and critical thinking skills in students. Effective teaching in this field depends heavily on chemistry teachers' deep content knowledge and pedagogical skills. Research highlights the importance of Content Knowledge (CK), which links teachers' understanding of chemical concepts with their teaching methods. Teachers with strong content expertise can employ effective strategies, resulting in better student engagement and achievement. This study examines the relationship between teachers' content knowledge, instructional practices, and student learning outcomes, aiming to inform targeted professional development and enhance chemistry education in secondary school settings.Item Unknown Investigating the Effectiveness of AI-Supported Applications for Chemistry Teachers(SDU University, 2026) Akhmetova A.In 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.