PEDAGOGICAL APPROACHES TO ENHANCING LEARNING MOTIVATION THROUGH ARTIFICIAL INTELLIGENCE

Abstract

This article examines pedagogical approaches to enhancing students' learning motivation through the use of artificial intelligence tools. In the context of modern digital education, it analyzes the potential of artificial intelligence technologies for personalizing instruction, increasing students' cognitive engagement, and fostering sustainable intrinsic learning motivation. The methodological framework of the study is based on learner-centered, competency-based, and constructivist approaches. In addition, the article describes the effectiveness of adaptive learning platforms, generative artificial intelligence, intelligent feedback systems, and gamification in the educational process. The research findings demonstrate that integrating artificial intelligence with scientifically grounded pedagogical support contributes to improving the quality of education, developing students' independent learning skills, and strengthening their learning motivation.