Optimizing collaborative learning processes by using recommendation systems
Key: HA11-1
Author: Sebastian Harrach, Mojisola Anjorin
Date: June 2011
Kind: In proceedings
Publisher: ACM
Book title: Proceedings of the 16th annual joint conference on Innovation and technology in computer science education
Keywords: machine learning, parallelkommunikation, semantic network
Abstract: In this paper, we present the work of the research group e-learning at the Darmstadt University of Technology by describing a paradigmatic research cooperation between the departments of philosophy and computer science. Here, the perspective of Parallelkommunikation from the philosophy of technology is used to increase the transparency of recommendation systems used in certain learning scenarios. This is achieved by providing explanations to allow a better understanding of the reasons behind recommendations. With this enhanced understanding, users can give more relevant feedback, thereby actively influencing the ranking of resources.
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