… Therefore, this study applies AR in a programming course, in order that students can see
the objectives of the project to be completed in the real environment, and complete the …

… In this scenario, the selection of an appropriate course based … a course recommendation
system based on deep learning in this paper. Our model (DCNNCRS) is an integration of Deep …

… With the advent of artificial intelligence, deep learning has made breakthroughs in image …
This paper will train online learners on the language model of course commentary text, so …

… The UniNet [37] method was recently proposed as a recommendation system based on
deep learning to help students to take the right decision on the order, combination and number …

… However, a prevalent issue with existing course … -Aware Model for course recommendation
called KEAM, which … of the rationales behind the recommendations. Specifically, we exploit …

… With the development of deep learning, the process can be implemented by deep … In
this research, MIRT is extended to capacity tracing for course recommendation in MOOCs …

… advantage of the rating data or the users’ feedback and tags associated to the courses to
recommend the suitable pedagogical resources to users [9], [11]. Some systems are based …

… , and take grades as an essential parameter to provide the related courses. Recently, a lot
of studies also focus on the usage of neural networks and deep learning techniques for data …

… course recommendation by random picking up some courses from a popular courses list. …
In this paper, we study the course recommendation problem in MOOCs platform. We propose a …

… on deep learning and the state-of-the-art matrix factorization models to recommend learning
… , we also used new datasets for course recommendation to validate the proposed model. …