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This is a Quantitative Study study.

Optimising Content Recommendations in Context‐Aware Mobile Learning Platform Through Machine Learning

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Exploratory analysis reveals machine learning improves content delivery in mobile learning platforms, highlighting adaptive technologies.

ANFIS outperformed other techniques with an accuracy of 82.46%, enhancing content recommendations in mobile learning.
Machine learning methods like ANN and KNN achieved lower accuracies of 81.17% and 80.74%, indicating the effectiveness of ANFIS.
Context awareness in mobile learning significantly adapts content delivery based on user preferences and environmental factors.
The study contributes insights into machine learning applications for creating more effective and personalized educational technologies.

Deshpande et al. (2025) studied this question.

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