Toward a recommender system for planning montessori educational activities

Abstract

In recent decades, learning methods have evolved, adapted, and reinvented. With these changes, the curriculum has become increasingly complex and there is an opportunity for technology to offer a helping hand in providing superior educational experiences. In this paper, we highlight the need for a recommender system within the Montessori kindergartens while exploring the main techniques of the recommender systems used in large environments such as YouTube, LinkedIn, or Amazon. Our ultimate goal is to obtain a recommender system—similar to an intelligent assistant—that helps teachers in planning learning paths and guides students in making progress.