Exploring Recommending Algorithms Applied in e-Learning Environments
Ngai Cheong · 2022
Recommending Algorithm (RA) applied in e-learning may provide the students with a personalized e-Learning environments, by automatically identifying their preferences and the situations. At present, the widely used RAs have some limitations in e-learning environments and there is a certain gap with the set goals. This paper explores these application limitations of RAs that may be used in e-learning environments, which may not fulfill the specific requirements and the students’ cognition. And the suggestions for solving these problems are also discussed in the paper, in order to improve the effectiveness and accuracy of recommending operations.