IMPROVING THE METHODOLOGY OF DEVELOPING STUDENTS’ PROFESSIONAL COMPETENCE THROUGH ARTIFICIAL INTELLIGENCE-BASED EDUCATIONAL TECHNOLOGIES
Keywords:
professional competence, artificial intelligence, generative AI, adaptive learning, intelligent tutoring systems, learning analytics, digital competence, higher education.Abstract
This thesis examines the potential of artificial intelligence (AI) based educational technologies for developing the professional competence of university students. The main groups of AI tools used in higher education are classified, their contribution to individual components of professional competence is analysed, and a four-stage methodological model for integrating AI tools into the learning process is proposed, together with conditions for their responsible and ethical use.
References
1. Resolution of the President of the Republic of Uzbekistan No. PQ-4996 of 17 February 2021 “On measures to create conditions for the accelerated introduction of artificial intelligence technologies”.
2. Decree of the President of the Republic of Uzbekistan No. PF-6079 of 5 October 2020 “On approval of the Digital Uzbekistan – 2030 strategy and measures for its effective implementation”.
3. Miao F., Holmes W., Huang R., Zhang H. AI and Education: Guidance for Policy-makers. – Paris: UNESCO, 2021.
4. UNESCO. Guidance for Generative AI in Education and Research. – Paris: UNESCO, 2023.
5. Zawacki-Richter O., Marín V.I., Bond M., Gouverneur F. Systematic review of research on artificial intelligence applications in higher education – where are the educators? // International Journal of Educational Technology in Higher Education. – 2019. – Vol. 16, No. 39.
6. Holmes W., Bialik M., Fadel C. Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. – Boston: Center for Curriculum Redesign, 2019.
7. Mishra P., Koehler M.J. Technological pedagogical content knowledge: A framework for teacher knowledge // Teachers College Record. – 2006. – Vol. 108, No. 6. – P. 1017–1054.
