LEARNING ANALYTICS OF PERSONALIZED EDUCATION
Keywords:
Personalized learning analytics, adaptive learning systems, artificial intelligence, ILPAS, predictive analytics, educational technologies, data ethics.Abstract
This article explores the field of personalized learning analytics, formed through the integration of pedagogy and information technologies in higher education. The study analyzes the identification of students' individual learning styles and the real-time adaptation of educational content using adaptive learning systems and artificial intelligence algorithms. It also highlights the impact of Interactive Learning Process Assessment Systems (ILPAS), predictive analytics, and early intervention strategies on academic success. The importance of maintaining the teacher's role in data-driven decision-making and adhering to ethical principles is emphasized. The results confirm that a personalized approach improves student achievement rates and fosters the development of learning autonomy.
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