Abstract
Recommending learning assets in e-Learning systems represents a key feature. Among many available assets there are quizzes that validate and also evaluate learner’s knowledge level. This paper presents a recommender system based on SVD algorithm that is able to properly recommend quizzes such that learner’s knowledge level is evaluated and displayed in real time by means of a custom designed concept map for graphs algorithms within the Data Structures course. A preliminary case study presents a comparative analysis between a group of learners that received random quizzes and a group of learners that received recommended questions. The visual analytics and interpretation of two representative cases show a clear advantage of the students who received recommended questions over the other ones.
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Teodorescu, O.M., Popescu, P.S., Mihaescu, M.C. (2018). Taking e-Assessment Quizzes - A Case Study with an SVD Based Recommender System. In: Yin, H., Camacho, D., Novais, P., Tallón-Ballesteros, A. (eds) Intelligent Data Engineering and Automated Learning – IDEAL 2018. IDEAL 2018. Lecture Notes in Computer Science(), vol 11314. Springer, Cham. https://doi.org/10.1007/978-3-030-03493-1_86
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