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dc.contributor.authorDrachsler, Hendrik-
dc.contributor.authorVan den Berg, Bert-
dc.contributor.authorNadolski, Rob-
dc.contributor.authorHummel, Hans-
dc.contributor.authorKoper, Rob-
dc.descriptionThe simulation and its background is described in detail in: Drachsler, H., Van den Berg, B., Nadolski, R., Hummel, H. & Koper, R. (submitted). Simulating an Informal Learning Network with Contextualized Recommendations: Effects on the Competence Development of Learners. Journal of Artificial Societies and Social Simulation. Simulation is available under the three clause BSD licence, Copyright TENCompetence Foundation.en_US
dc.description.abstractThe main goal of our project is to research how recommender system technologies behave in Learning Networks of different sizes. One of the questions in this research is how to tackle the problem of the difficulty for learners to navigate through the Learning Network: what is the most effective way to reach the learning goal or which learning activity can be studied best after finishing a particular one? The aim of this program is use two different recommendation technologies to recommend learning activities to learners in Learning Networks of different sizes. The performance of the recommendation technologies is explore based on ROC curve analysis (accuracy, precision, recall and F1) and educational measures like effectiveness, efficiency and satisfaction.en_US
dc.description.sponsorshipThe work on this publication has been sponsored by the TENCompetence Integrated Project that is funded by the European Commission's 6th Framework Programme, priority IST/Technology Enhanced Learning. Contract 027087 []en_US
dc.subjectrecommender systemen_US
dc.subjectContextualized collaborative filteringen_US
dc.subjectLearning Networken_US
dc.titleLearning Network simulation with a contextualized recommender systemen_US
Appears in Collections:4. TENC: Software and Documentation

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