A Review of Educational Recommender Systems for Teachers

Abstract

Recommender Systems (RS) in e-learning has attracted several researchers aiming basically at scaffolding learners in locating relevant learning resources that meet their learning needs and profiles. Whereas a number of review studies have been carried out in the area of educational recommender systems, there is a limited information in the literature review in the specific domain of recommendation systems for teachers. The objective of this work is to summarize the current research efforts in the field of teacher-oriented recommender systems. By performing this systematic review, 32 papers were selected for further analysis. The obtained results show that educational portals and repositories are widely used as learning environments where recommendations occur. The finding of this review further show that personalized recommendations for teachers and teaching practices improvements are the main issues addressed by RS for teachers. Furthermore, the hybrid approach for recommendation and the evaluation by experiment are the most used, occurring in 43,75% of the selected reviewed papers. We are availing the key findings of this work to propose a teacher recommender system that provides teachers with the most relevant open educational resources (OER) retrieved from collections of resources aligned to the UNESCO ICT Competency Framework for Teachers (CFT).

A Course Teacher Recommendation Method Based on an Improved Weighted Bipartite Graph and Slope One

“…The aforementioned studies, in which scholars have researched appropriate recommendation systems for problems in the education field, have significantly contributed to the promotion of education. However, there are limited research results on systems for recommending suitable teachers for courses [35].…”