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  • Некоторые метрики заблокированы вашими 
    Тип записи:Публикация,
    Integration of Digital Educational Resources and Scientific Research Activities in Higher Natural Science Education
    (Kazakh National Pedagogical University, 2026-07-01) ; ; ; ;
    The article presents the experience of integrating digital educational resources and research activities into the teaching of the elective course Ecophysiology. The study aimed to assess the effectiveness of digital learning materials and research-oriented practical tasks in developing students’ research competencies. Materials and Methods. The experiment involved second-year students of the chemistry-biology program at the Kazakh National Women’s Teacher Training University. During the study, students in the experimental groups used digital tools, including the Miro platform, to complete interactive assignments, analyze laboratory data, and present research results, whereas the control group worked through traditional methods. Results: The results demonstrated that the integration of digital and research components increased students’ learning motivation, strengthened their research and analytical skills, and improved the quality of practical task performance. The use of digital platforms promoted collaboration, visualization of results, and critical discussion. The findings confirm that the integration of digital educational resources into ecophysiology teaching is an effective approach for enhancing scientific thinking and student engagement in higher education. Scientific novelty. A special learning tool has been written and tested to integrate knowledge, science, and digital resources in the digital age. The effectiveness of research-based tasks as a means of integrating tasks into the learning tool has been demonstrated. Practical significance. Interactive tasks prepared in the Ecophysiology textbook can be used in environmental education to achieve the expected results within the framework of this course in the learning process and to integrate students’ motivation and psychological state in the communication environment and research-oriented educational activities with a digital system.
  • Некоторые метрики заблокированы вашими 
    Тип записи:Публикация,
    The Impact of Artificial Intelligence on Cognitive Skills Development in Future Teachers
    (Kazakh National Pedagogical University, 2026-07-01) ; ;
    Meirgul Ospanbekova
    ;
    The study investigates the impact of Artificial Intelligence (AI), particularly ChatGPT, on the development of cognitive skills in future specialists. It explores how AI integration into higher education can enhance critical thinking, problem-solving abilities, and personalized learning while addressing ethical concerns such as academic integrity, technological dependence, and data privacy. Methodology and Methods. A mixed-methods approach was applied, combining qualitative and quantitative techniques. Data were collected from 148 third- and fourth-year students of the "Teaching and Primary Education Methodology" program through surveys, questionnaires, and semi-structured interviews. Statistical analyses, including t-tests and ANOVA, were employed to examine the effects of ChatGPT on students’ cognitive activity, learning engagement, and perception of AI in education. Results. Findings indicate that ChatGPT significantly enhances students’ analytical and problem-solving skills, promotes deeper comprehension of content, and increases engagement and motivation. A majority of students reported that AI enables personalized learning pathways, while a minority emphasized its role in monitoring academic progress. Identified challenges include ethical considerations, limited technical support, and data privacy concerns. Nevertheless, AI tools were generally perceived as beneficial for cognitive skill development and active learning. Scientific novelty. The study demonstrates that AI, when ethically integrated, fosters cognitive growth and critical thinking in future specialists. Practical significance. The results provide evidence-based recommendations for using AI in education, emphasizing responsible implementation to enhance learning quality, motivation, and individualized educational trajectories.