Recommender system to research students’ study efficiency

Abstract

The Recommender System to Research Students’ Study Efficiency (Recommender System hereafter) developed by these authors determines a student's learning productivity based on that same student's physiological, psychological and behavioral/movement parameters. It then generates thousands of alternative learning productivity recommendations based on the compiled Maslow's Pyramid Tables and selects out the most rational of these for the student's specific situation. The Recommender System provides a student with a real-time assessment of his/her own learning productivity and emotional state. This article presents the Recommender System, a case study and a scenario used to test and validate the developed Recommender System and its composite parts to demonstrate its validity, efficiency and usefulness.