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- W2892441650 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." @default.
- W2892441650 created "2018-10-05" @default.
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- W2892441650 date "2018-01-01" @default.
- W2892441650 modified "2023-10-18" @default.
- W2892441650 title "Taking e-Assessment Quizzes - A Case Study with an SVD Based Recommender System" @default.
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- W2892441650 doi "https://doi.org/10.1007/978-3-030-03493-1_86" @default.
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