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.

De Medio, C., Gasparetti, F., Limongelli, C., Sciarrone, F., Temperini, M. (2017). Course-Driven Teacher Modeling for Learning Objects Recommendation in the Moodle LMS. In UMAP 2017 - Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization (pp.141-145). Association for Computing Machinery, Inc [10.1145/3099023.3099037].

Course-Driven Teacher Modeling for Learning Objects Recommendation in the Moodle LMS

De Medio, Carlo;Gasparetti, Fabio;Limongelli, Carla;Sciarrone, Filippo;Temperini, Marco
2017

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.
9781450350679
De Medio, C., Gasparetti, F., Limongelli, C., Sciarrone, F., Temperini, M. (2017). Course-Driven Teacher Modeling for Learning Objects Recommendation in the Moodle LMS. In UMAP 2017 - Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization (pp.141-145). Association for Computing Machinery, Inc [10.1145/3099023.3099037].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11590/326128
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