Things that make us smart: defending human attributes in the age of the machine
Things that make us smart: defending human attributes in the age of the machine
Computers are social actors: a review of current research
Human values and the design of computer technology
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WWW7 Proceedings of the seventh international conference on World Wide Web 7
An algorithmic framework for performing collaborative filtering
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Recommender systems in e-commerce
Proceedings of the 1st ACM conference on Electronic commerce
Explaining collaborative filtering recommendations
CSCW '00 Proceedings of the 2000 ACM conference on Computer supported cooperative work
Methods and metrics for cold-start recommendations
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Hybrid Recommender Systems: Survey and Experiments
User Modeling and User-Adapted Interaction
User Modeling and User-Adapted Interaction
User Modeling and User-Adapted Interaction
Is seeing believing?: how recommender system interfaces affect users' opinions
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Collaborative filtering: supporting social navigation in large, crowded infospaces
Designing information spaces
Evaluating collaborative filtering recommender systems
ACM Transactions on Information Systems (TOIS)
Think different: increasing online community participation using uniqueness and group dissimilarity
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Improving recommendation lists through topic diversification
WWW '05 Proceedings of the 14th international conference on World Wide Web
IEEE Transactions on Knowledge and Data Engineering
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Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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CHI '06 Extended Abstracts on Human Factors in Computing Systems
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Expert Systems with Applications: An International Journal
A Socio-technical Approach towards Supporting Intra-organizational Collaboration
EC-TEL '08 Proceedings of the 3rd European conference on Technology Enhanced Learning: Times of Convergence: Technologies Across Learning Contexts
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Computers in Human Behavior
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UM'03 Proceedings of the 9th international conference on User modeling
Social comparisons to motivate contributions to an online community
PERSUASIVE'07 Proceedings of the 2nd international conference on Persuasive technology
Persuasive recommendation: serial position effects in knowledge-based recommender systems
PERSUASIVE'07 Proceedings of the 2nd international conference on Persuasive technology
I will do it, but i don't like it: user reactions to preference-inconsistent recommendations
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Social navigation support in a course recommendation system
AH'06 Proceedings of the 4th international conference on Adaptive Hypermedia and Adaptive Web-Based Systems
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This paper explores the potentials of recommender systems for learning from a psychological point of view. It is argued that main features of recommender systems (collective responsibility, collective intelligence, user control, guidance, personalization) fit very well to principles in the learning sciences. However, recommender systems should not be transferred from commercial to educational contexts on a one-to-one basis, but rather need adaptations in order to facilitate learning. Potential adaptations are discussed both with regard to learners as recipients of information and learners as producers of data. Moreover, it is distinguished between system-centered adaptations that enable proper functioning in educational contexts, and social adaptations that address typical information processing biases. Implications for the design of educational recommender systems and for research on educational recommender systems are discussed.