Exploiting Recommender Systems in Learning Design
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Abstract
Learning Design – LD can be defined as a methodology that allows teachers to decide more closely on how they are going to design sequences of learning and teaching activities that are pedagogically sound and make appropriate use of their corresponding educational resources and technologies. LD has already been recognized as a key factor in success and improvement of the quality of the educational process. Supporting teachers in their new role as designers of learning has proved to be a challenge for the research community. In this context, this article explores the benefits that can arise for the educational community from integrating the Recommender Systems (RSs) into LD tools. To that end, we have implemented a hybrid RS, which recommends LDs to teachers in the form of templates as a head start in order to release them of authoring LDs from scratch. Each template after teacher intervention it can lead to a new LD which satisfies his/her own unique needs and preferences. The proposed system was integrated into the LAMS platform. We then conducted a pilot study to find out teachers' beliefs about the benefits that may be derived from the use of the proposed system. The details of the implementation of the proposed system as well as the results of the pilot study are presented in this paper.
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