INDICATORS OF EFFECTIVENESS IN DEVELOPING THE PROFESSIONAL COMPETENCIES OF ENERGY STUDENTS THROUGH ADAPTIVE EDUCATION TECHNOLOGIES BASED ON ARTIFICIAL INTELLIGENCE (RESPONDENTS IN QUANTITY AND PERCENTAGE)
Keywords:
Artificial intelligence, adaptive educational technologies, energy direction, student, Pearson's, mathematical statistics, competencies, hypothesis, variational series.Abstract
This scientific article analyzes the final results and average academic performance of the conducted experiment to determine the effectiveness indicators for developing the professional competencies of energy students through adaptive educational technologies based on artificial intelligence using the Student's t-test and Pearson's χ2 mathematical-statistical method.
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