September 10, 2025Open Access

Enhancing Student Engagement and Performance through Personalized Study Plans in Online Learning: A Proof-of-Concept Pilot Study

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Personalized study plans improved student performance, indicating effective adaptation of learning strategies.
K-means clustering identified three learner profiles, showing engagement is crucial for academic success.
Support Vector Machines achieved 68.8% accuracy in categorizing students based on performance metrics.
This research indicates the value of leveraging LMS data and predictive modeling for enhanced learning outcomes.

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Pilot study demonstrates personalized plans can improve student performance in online learning, highlighting machine learning integration.

Karunaratne et al. (2025) studied this question.

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Pilot study demonstrates personalized plans can improve student performance in online learning, highlighting machine learning integration.