August 20, 2025F1000ResearchOpen Access

Personalised and Collaborative Learning Experience (PCLE) Framework for AI-driven Learning Management System (LMS)

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K-Nearest Neighbours outperformed other models in generating course recommendations for the Coursera dataset, enhancing engagement.
The study utilized collaborative filtering and machine learning models to evaluate course recommendations on two distinct datasets.
Machine learning techniques like K-Nearest Neighbours, SVD, and NCF were effectively applied to identify optimal course recommendations.
Finding indicate dataset characteristics impact model performance, highlighting the need for adaptive strategies across various educational contexts.

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This research demonstrates enhanced course recommendations through collaborative filtering in AI-driven LMS, suggesting improved student engagement.

Weiling et al. (2025) studied this question.

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This research demonstrates enhanced course recommendations through collaborative filtering in AI-driven LMS, suggesting improved student engagement.