Enhancing Self-Directed Learning with Personalized Online Resource Recommendations

Online learning has become a popular way for students to study. Among all of these approaches, online reading has assumed a significant place. While performing online reading, students may encounter obstacles such as difficulty understanding the reading content or the need for additional clarification. In these cases, learners will look for extra study materials on the internet. However, it would be impossible for them to locate the most appropriate materials for both the learner and the query that user given to the system. To overcome this problem, this strategy encourages self-directed learning by providing students with tailored learning opportunities based on the difficulty level of the user’s study material that they refer to and employing modern ranking systems.