… After investigating the challenge, a machine learning-based peer tutor recommender
system (MPTRS) with automated assessment was proposed to enhance students’ learning …

… We also propose suggestions to guide the evaluation of the e-learning approach and offer …
analytics supported e-learning platforms Findings of the meta-analysis, systematic review and …

… Abstract: A variety of recommender systems focus on connecting users′ and item′s
features, and the full use of the potential information presented by features contributes to the …

… Early and dynamic student achievement prediction in e-learning courses using neural
networks[J]. Journal of the American Society for Information Science & Technology, 2014, 60 (2): …

… This paper summarizes the research status of recommendation system, presents an overview
of the field of recommender systems, describes the classical recommendation methods …

… Toward the next generation of recommender systems: A survey of the state-of-the… e-learning
based on recommendation systems: An overview. Intelligent and Adaptive Learning Systems…

… The present study provides two examples of e-learning and its integration into two facets
of … Learning style refers to an individual’s approach to learning based on their preferences, …

… ,機器學習的內容為本(machine learning based content-based)圖像… e-learning should
rely on integration of both learning and information, that is, the successful environment for e-learning …

… Recommender systems in e-learning environments: a survey of the state-of-the-art and possible
extensions[J]. Artificial Intelligence Review… deep learning based recommender systems[J…

… Moreover, the researchers should provide more chances for students’ learning based on
the digital game-supported learning for energy knowledge, such as MMORG (Massively …