On conceptualisation and an overview of learning path recommender systems in e-learning

In recent years, the landscape of e-learning has witnessed exceptional advancements, providing students with tools to improve their performance. In the pursuit of optimizing the e-learning experience, one emerging area of focus is the integration of recommender systems. By leveraging sophisticated algorithms, recommender systems aim to personalize the learning path by tailoring recommendations based on individual student performance, preferences, learning style and other factors.