I. Introduction
This study is within the category of Technology Enhanced Learning (TEL), which has been recognized as one of the most dynamic areas of inquiry in education [1]. TEL aims to design, develop, and test socio-technical innovations that will support and enhance learning practices [2]. Specifically, TEL is about recommender systems that are designed to enhance learning experience. For instance, a recommender system with the main task of ‘annotation in context’ is designed to provide learners the list of relevant learning materials for a given course [2].