ASSESSING STUDENTS' KNOWLEDGE LEVELS AND FORMING INDIVIDUAL EDUCATIONAL PATHS THROUGH THE INTEGRATION OF ARTIFICIAL INTELLIGENCE IN THE EDUCATION SYSTEM
Keywords:
artificial intelligence, educational technologies, machine learning, learner-centered education, adaptive learning, assessment, AI strategy.Abstract
This article provides an in-depth analysis of the theoretical foundations of artificial
intelligence (AI) technologies in education. It examines important aspects such as the
stages of their development, their role in the pedagogical process, their potential for
shaping the concept of learner-centered education, and the significance of machine
learning algorithms in assessing students' knowledge levels. Furthermore, the scientific
and theoretical foundations of applying artificial intelligence technologies in the
educational process are explored in the context of pedagogy, information technology, and
learning theories.
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