A Survey on LMS Context Dimensions for Teacher-Oriented Recommender Systems

Abstract

In formal education, a majority of e-learning courses is still conducted in a learning management system (LMS). Teachers and authors of educational resources can make use of context-aware recommender systems, which would recommend relevant learning objects to be included in the course. Context data can be obtained, among other sources, from an existing learning environment. This paper describes a two-phase survey of four LMSs ? Chamilo, Claroline, Ilias and Moodle ? and their characteristics suitable for creating an LMS part of a context model, which would be suitable to implement in recommender systems for this purpose. A sample set of use cases is given, which describes how teachers and content authors could use the system. Based on the survey results, a set of context model dimensions is proposed.