Recommender system to analyse students' learning productivity

Abstract

A sufficient amount of studies worldwide prove an interrelation linking students' learning productivity, emotional and psychological state to physiological parameters. Emotional states and the interest in learning affect learning productivity, while physiological parameters demonstrate such changes. Since the research by the authors of the present article confirmed these interdependencies, a Recommender System to Analyse Student's Learning Productivity (Recommender System hereafter) has been developed. The Recommender System uses the Maslow's Hierarchy of Needs and the database of the best global practices to come up with recommendations for students how to improve their learning efficiency. Worldwide research includes various scientists who conducted in-depth studies on the different and very important areas in the field. We did not find any systems which would take physiological parameters of students, analyse their learning efficiency and, in turn, provide recommendations. © 2011 Springer-Verlag.