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Abstract
The article analyzes the distinctive features of the purposeful pedagogical integration of artificial intelligence tools into competence-based teaching of natural sciences in higher education. The study aims to align the didactic potential of artificial intelligence with the requirements of competence-based education and to substantiate a methodological model designed to develop students’ subject-specific, research, critical-thinking, information, digital, and reflective competencies. The methods employed include analysis of scientific literature, comparative analysis, systematization, generalization, and pedagogical modeling. As a result, a methodological model integrating competence-based tasks, purposeful interaction with artificial intelligence, scientific verification, independent analysis, reflection, and competence-based assessment is proposed.
References
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