Recommender systems (RS) represent a very important aspect for the Education 4.0, especially for the engineering education that is taking advantage from the new technologies. Personalized e-learning is very connected with this kind of systems, being important for the students but also for the teachers to be evolved in a personalized learning-teaching process. The use of RS has developed a lot for the engineering education and in the last years a lot of online learning environments were created and improved based on the new solution offered by the RS. The purpose of this paper is to offer an overview of the most recent researches from e-learning that are using RS. There are also analyzed the main recommender systems types and their issues and limitations.

Keywords: Recommender systems, Engineering education, Technology enhanced learning, Education 4.0