Course-Driven Teacher Modeling for Learning Objects Recommendation in the Moodle LMS
Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization, page 141--145. New York, NY, USA, ACM, (2017)DOI: 10.1145/3099023.3099037
Abstract
During the phases of course construction, in Learning Management Systems, a teacher can be valuably helped by system's recommendations about learning objects to include in the course. A usual protocol is in that the teacher performs a query, looking for suitable learning material, and the system proposes a list of learning objects, with information shown for each one; then the teacher is supposed to make her choice, basing on the displayed information. Here we present a Recommender System for Learning Objects retrieved from Learning Objects Repositories, that is based on a ``social teacher model", based on the similarities with the teacher in the system, and the potential model evolutions over time. The proposed system is available as a Moodle plug-in. In the paper we show the details of the information decorating the learning objects retrieved after a query, the definition of the teacher model, and the similarity measure underlying the recommendation strategy.
