Data Engineering Pathways: Transforming Education Through Personalized Learning Analytics

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This article demonstrates how data engineering enhances personalized learning, suggesting new pathways for educational success.

Personalized learning environments improve educational outcomes by adapting to individual needs and feedback.
Data engineering frameworks reveal critical infrastructure for effective learning analytics and adaptive systems.
Computational models predict student performance, enhancing educational experiences through real-time feedback.
Emerging trends in AI tutoring systems highlight both opportunities and challenges in scaling personalized education.

Kumar Santhosh (2025) studied this question.

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