Preparing Students of Pedagogical Specialties to Apply Data Mining in Education

Abstract

The research analyzes the potential of AI and the prospects of using data mining in the educational process of universities. The authors show that students can apply tools and methods of educational data mining to solve tasks across various disciplines. This positively impacts the development of knowledge and skills in advanced methods of experimental data processing. The research identifies potential challenges in training and retraining educational personnel to study and apply educational data mining. These challenges include a lack of knowledge in mathematical disciplines and information technologies, the need to improve training programs necessary for mastering educational data mining, a shortage of instructors ready to support this discipline, and an insufficiently developed innovative thinking style among students. The authors developed and tested digital educational content and assignments for students on using AI and big data analysis in education. The research outlines the prospects for further study in teaching students to apply data mining.