Recommender System in Higher Education: A Preliminary Study of State of the art

This paper is a preliminary study of the state of the art on Recommender Systems (RS) in Higher Education. This work presents the initial phase towards the development of a prototype of RS of personalized learning path (PLP). The prototype can be seen as a choice for higher education professors' training in ICT, considering Mobile Learning and Microlearning as a working paradigm. The literature about RS focused on Technology Enhanced Learning (TEL) is varied and extensive. However, the presence of RS in the application of PLP is scarce. This review was conducted by exploring the core subject in specialized databases of education and computing. The revised corpus consisted of open access and high impact publications developed from 1990 to 2018 in the context of education. In the process of reviewing the literature, ten studies based on RS for TEL were identified, analyzed and compared. These studies reveal the possibility of applying various techniques and frequent tasks of RS in E-Commerce to the field of RS with educational purposes. It demonstrates that RS to access to Microlearning educational resources in mobile environments are limited, thus making this research appropriate and relevant.