ENHANCING STUDENTS’ KNOWLEDGE COMPETENCE THROUGH ARTIFICIAL INTELLIGENCE TECHNOLOGIES: A METHODOLOGICAL APPROACH
- Authors
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Meliyev Ma'ruf Qiyomjonovich
Assistant Teacher, University of Economics and Pedagogy Non-State Higher Educational Institution Karshi, Uzbekistan.
Author
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- Keywords:
- Artificial Intelligence in Education (AIED), Knowledge Competence, Artificial Intelligence Technologies, Adaptive Learning Systems, Learning Analytics, Personalized Learning, Higher Education, Intelligent Tutoring Systems, Educational Data Mining, Digital Learning Environment.
- Abstract
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The rapid development of artificial intelligence (AI) technologies has significantly transformed modern educational practices, creating new opportunities for enhancing students’ knowledge competence. The aim of this study is to develop and evaluate a methodological approach to improving students’ knowledge competence through the effective integration of artificial intelligence technologies in higher education.
- References
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1.Chen, L., Chen, P., & Lin, Z. (2020). Artificial intelligence in education: A review. IEEE Access, 8, 75264–75278. https://doi.org/10.1109/ACCESS.2020.2988510
2.Crompton, H., & Burke, D. (2023). Artificial intelligence in higher education: The state of the field. International Journal of Educational Technology in Higher Education, 20(1), 1–22. https://doi.org/10.1186/s41239-023-00392-8
3.Ifenthaler, D., & Yau, J. Y. K. (2020). Utilising learning analytics for study success: Reflections on current empirical findings. Educational Technology Research and Development, 68(3), 1417–1430. https://doi.org/10.1007/s11423-020-09764-3
4.Luckin, R. (2021). Machine learning and human intelligence: The future of education for the 21st century. UCL Institute of Education Press.
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- Published
- 2026-03-24
- Issue
- Vol. 2 No. 3 (2026)
- Section
- Articles
- License
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This work is licensed under a Creative Commons Attribution 4.0 International License.
