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Please use this identifier to cite or link to this item: http://hdl.handle.net/1820/1986

Title: Learning Network simulation with a contextualized recommender system
Authors: Drachsler, Hendrik
Van den Berg, Bert
Nadolski, Rob
Hummel, Hans
Koper, Rob
Keywords: simulation
recommender system
Contextualized collaborative filtering
rating
Learning Network
Issue Date: 14-Jul-2009
Abstract: The 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.
Description: The 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.
URI: http://hdl.handle.net/1820/1986
Appears in Collections:4. TENC: Software and Documentation

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