Advancing Educational Outcomes Through Predictive Analytics and Machine Learning

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Authors: Venkatesan Kandavelu
Cited by: 0

Abstract

The integration of predictive analytics and machine learning in education represents a transformative shiftfrom reactive assessment to proactive student support. This article examines how educational institutionsleverage diverse machine learning methodologies, including binary classification models, sequential neural networks, unsupervised learning techniques.

Fields of Study & Subjects

Online Learning and Analytics Artificial Intelligence in Education Educational Technology and Pedagogy

Publication details

Journal / source
Journal of Computational Analysis and Applications
Publication date
25 February 2026
Language
EN