Leveraging Machine Learning for Enhanced Experience of Distance Learners
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Abstract
This study aims to determine the impacts of Machine Learning and Information Technology on e-Learning. Information technology has significantly impacted every aspect of human endeavours, including education. This research examined how machine learning can enhance users' experiences in distance learning. The dataset for the model was extracted from Kaggle, and training, testing, and evaluation were performed. The accuracy reached 60% due to the bias in the data distribution. Finally, the deployment of the model to monitor students' emotions in real-time, offering personalised content recommendations based on the detected emotional states, would enhance the user experience and facilitate a supportive learning environment by addressing negative emotions.
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