LEVERAGING DATA ANALYTICS FOR ALGORITHMIC CURATION IN DIGITAL LEARNING ENVIRONMENTS: IMPACTS ON STUDENT ENGAGEMENT AND PERSONALIZED EDUCATION
DOI:
https://doi.org/10.37547/Keywords:
digital learning, data analytics, algorithmic curation, student engagement, artificial intelligence, machine learning, adaptive learning, individual learning trajectory.Abstract
This article comprehensively analyzes the possibilities of data analytics in improving algorithmic curation processes in digital learning environments. It also substantiates effective ways to personalize educational content, increase student interest and engagement, and adapt the learning process through an algorithmic recommendation system. The article analyzes the positive impact of adaptive learning systems based on artificial intelligence and machine learning on student motivation, mastery, and individual development from a scientific, theoretical, and practical perspective.
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