CRITERIA FOR SELECTING ADAPTIVE TEACHING TOOLS AND EXPERIENCE OF THEIR IMPLEMENTATION INTO THE CONTENT OF PHYSICS
Keywords:
adaptive learning, physics, Student's criterion, artificial intelligence, mobile learning, gamification.Abstract
The article considers the issues of integrating adaptive learning tools into the content of physics and determining the criteria for their selection. Adaptive learning is a modern pedagogical approach aimed at adapting the learning process to the individual characteristics, learning style, abilities and needs of the learner. This technology allows you to personalize the learning process, increase students' motivation to learn, and improve the quality of education. The article describes the main components of the adaptive learning system (learning content, feedback mechanism, algorithms and data processing, progress monitoring system), and shows their place and importance in the educational process. In addition, the main directions of the adaptive learning system in modern trends such as artificial intelligence, big data, mobile learning, and gamification are outlined. The relevance of using adaptive learning tools in physics is evidenced by several factors: the heterogeneity of students' performance levels, the complexity of the subject content, the need to combine theory and practice, as well as the effective use of digital resources. Adaptive learning tools increase students' interest in the subject and contribute to independent and responsible learning. During the study, the methods of theoretical analysis, comparison, modeling, generalization, observation and study of learning experience were used. Educational and didactic materials, multimedia resources, video clips and online platforms were used as adaptive learning tools. The stages of adaptation of adaptive tools were considered. Classification of adaptive learning tools by features was determined. Structural features of adaptive learning tools were determined. Experimental results calculated using the Student criterion were obtained based on the registration methods. As a result of the study, it was found that the integration of adaptive technologies into the learning process significantly improves the mastery of physics.
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