BR24993072 — Development of an AI-Based Intelligent Educational Resource for Enhancing Critical Thinking of students
Goal of the work: The aim of the work is to develop a scalable and easily integrated educational process management system that adapts to the individual characteristics of each student and contributes to improving the quality of education, academic performance and the development of key competencies such as critical thinking.
Relevance of the work: The relevance of the work is due to the need to introduce innovative technologies into the educational process to increase its effectiveness and adaptability to the individual needs of students. With the rapid development of technology and the changing demands of the labor market, the creation of personalized educational solutions is becoming a key factor in the training of highly qualified specialists.
Scientific supervisor: Ph.D., Associate Professor, Kasenkhan Arai Meirambaykyzy
Results obtained: During the research work, a set of intelligent solutions was developed to introduce artificial intelligence technologies into the school education system. An integrated digital platform was created, including modules for analyzing reading activity, intelligent literature recommendation, automatic generation of personalized tasks and questions, as well as gamification tools. The implemented algorithms enabled personalization of the learning process and increased student engagement. All planned objectives were fully achieved, including literature analysis, database formation, and development of software modules. The proposed solutions can be applied in distance learning systems and extracurricular education. The conducted testing confirmed the effectiveness and practical applicability of the developed results.
List of publications with links to them
- Kassenkhan A.M., Moldagulova A.N., Serbin V.V. Gamification and Artificial Intelligence in Education: A Review of Innovative Approaches to Fostering Critical Thinking // IEEE Access. – 2025. – Vol. 13. – Pp. 98699–98728. DOI: 10.1109/ACCESS.2025.3576147. URL: https://ieeexplore.ieee.org/document/11021565
- Moldagulova A.N., Kassenkhan A.M., Pogorelov V. Predicting Students’ Critical Thinking Skills Using Machine Learning: A Comparative Study // Business Modeling and Software Design (BMSD 2025) / Ed. by B. Shishkov. – Lecture Notes in Business Information Processing. – Cham: Springer, 2026. – Vol. 559. – Pp. 324–340. DOI: 10.1007/978-3-031-98033-6_21. URL: https://link.springer.com/chapter/10.1007/978-3-031-98033-6_21#citeas
- Akylbekov O.N., Kasenkhan A.M., Baidildinova S.T. AI Techniques in Education: A Global Overview and Applications in Kazakhstan // Bulletin of D. Serikbayev East Kazakhstan Technical University. – 2025. – Vol. 108, No. 2. – Pp. 103–113. DOI: 10.51885/1561-4212_2025_2_103. URL: https://storage.ektu.kz/nextcloud/index.php/s/D5ybmQGFXPz2dep
- Bekarystankyzy A., Baizakova M., Kassenkhan A., Iglikova M. Recommendation Algorithms for Educational Preferences: A Review // News of the National Academy of Sciences of the Republic of Kazakhstan. – 2025. – Vol. 355, No. 3. DOI: 10.32014/2025.2518-1726.366. URL: https://journals.nauka-nanrk.kz/physics-mathematics/article/view/7539/5149
- Assan N., Utebayeva D., Kassenkhan A., Ilipbayeva L. Introduction of AI in education systems // International Journal of Information and Communication Technologies. – 2025. – Vol. 6, No. 3 (23). – Pp. 84–99. DOI: 10.54309/IJICT.2025.23.3.005. URL: https://journal.iitu.edu.kz/index.php/ijict/article/view/544/637
- Сербин В.В. Модели принятия решений в адаптивном онлайн-обучении с элементами искусственного интеллекта: монография. – Алматы: КазНИТУ, 2025. – 205 с. ISBN 978-601-252-103-0. URL: https://github.com/ArayKassenkhan/Monograph_BR24993072/blob/main/%D0%A1%D0%B5%D1%80%D0%B1%D0%B8%D0%BD%20%D0%92%D0%92%20%D0%9C%D0%BE%D0%BD%D0%BE%D0%B3%D1%80%D0%B0%D1%84%D0%B8%D1%8F%202025.pdf