ARTIFICIAL INTELLIGENCE-SUPPORTED PERSONALIZED LEARNING AS A TOOL FOR DEVELOPING STUDENTS' SOCIAL AND COGNITIVE COMPETENCIES
Keywords:
Artificial Intelligence, Personalized Learning, Adaptive Education, Learning Analytics, Educational Technology, Cognitive Competence, Student Development, Digital Pedagogy.Abstract
The rapid development of artificial intelligence (AI) has significantly transformed educational practices worldwide. AI-supported personalized learning environments provide opportunities to improve students' cognitive performance, learning motivation, and social competencies through adaptive instructional strategies. This study examines the pedagogical potential of AI-based personalized learning technologies in developing students' cognitive flexibility, collaborative skills, critical thinking, and self-regulated learning. The article analyzes contemporary scientific literature and discusses the integration of artificial intelligence into educational environments from a learner-centered perspective. The findings indicate that AI-supported learning contributes not only to academic achievement but also to students' social adaptation and lifelong learning competencies. Recommendations are proposed for implementing AI-driven educational models in general secondary education.
References
1.Holmes, W., Bialik, M., & Fadel, C. (2022). Artificial Intelligence in Education. Boston: Center for Curriculum Redesign.
2.Luckin, R. (2018). Machine Learning and Human Intelligence. London: UCL Institute of Education Press.
3.UNESCO. (2023). Guidance for Generative AI in Education and Research. Paris: UNESCO.
4.OECD. (2021). Digital Education Outlook 2021. Paris: OECD Publishing.
5.Zawacki-Richter, O., et al. (2019). Systematic review of research on artificial intelligence applications in higher education. International Journal of Educational Technology in Higher Education, 16(39).
6.Chen, L., Chen, P., & Lin, Z. (2020). Artificial Intelligence in Education: A Review. IEEE Access, 8, 75264–75278.
7.Holmes, W., Porayska-Pomsta, K., Holstein, K., et al. (2021). Ethics of AI in Education. Computers and Education: Artificial Intelligence, 2.
8.Siemens, G., & Long, P. (2011). Penetrating the Fog: Analytics in Learning and Education. EDUCAUSE Review, 46(5), 30–40.
9.Williamson, B., & Eynon, R. (2020). Historical Threads, Missing Links, and Future Directions in AI in Education. Learning, Media and Technology, 45(3), 223–235.
10.World Economic Forum. (2023). The Future of Jobs Report.
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