RESEARCH RESULTS AND STATISTICAL ANALYSIS OF ARTIFICIAL INTELLIGENCE AND E-LEARING TECHNOLOGIES IN TEACHING MATHEMATICS

Authors

  • Baxitli Jaxanshaevna Atabaeva

    Nukus State Pedagogical Institute named after Ajiniyaz image/svg+xml

Keywords: artificial intelligence, E-learning, mathematical didactics, flexible learning, educational analytics, experimental testing, statistical analysis

Abstract

This article substantiates the effectiveness of integrating an SI-based adaptive task system and an E-learning environment in teaching mathematics through experimental testing. The SIm of the study is to determine the impact on learning outcomes, motivation, and independent learning skills. The methodology relied on a combination of quasi-experiment, pretest-posttest design, LMS analytics, rubrics, and questionnSIres. As a scientific innovation, the criteria for optimizing the educational trajectory based on SI-LMS data are presented along with the size of the effect and reliability indicators. The results show a statistically significant increase in the experimental group and the stability of differences in academic performance.

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