Situated evaluation for cooperative systems
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
Designing groupware for congruency in use
CSCW '98 Proceedings of the 1998 ACM conference on Computer supported cooperative work
Automatic personalization based on Web usage mining
Communications of the ACM
Data mining: concepts and techniques
Data mining: concepts and techniques
Clustering the Users of Large Web Sites into Communities
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
E-learning personalization based on itineraries and long-term navigational behavior
Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters
A Pre-Processing Tool for Web Usage Mining in the Distance Education Domain
IDEAS '04 Proceedings of the International Database Engineering and Applications Symposium
A laboratory method for studying activity awareness
Proceedings of the third Nordic conference on Human-computer interaction
Knowledge Discovery with Genetic Programming for Providing Feedback to Courseware Authors
User Modeling and User-Adapted Interaction
Improving adaptation in web-based educational hypermedia by means of knowledge discovery
Proceedings of the sixteenth ACM conference on Hypertext and hypermedia
Educational data mining: A survey from 1995 to 2005
Expert Systems with Applications: An International Journal
Contributions to a theoretical framework for CSCL
CSCL '02 Proceedings of the Conference on Computer Support for Collaborative Learning: Foundations for a CSCL Community
Evaluating the inference mechanism of adaptive learning systems
UM'03 Proceedings of the 9th international conference on User modeling
Group and students profiles to support collaborative learning in a multiagent model
ADNTIIC'11 Proceedings of the Second international conference on Advances in New Technologies, Interactive Interfaces and Communicability
| Hi-index | 0.00 |
An effective collaboration in learning environments involves a set of skills that students must learn and cultivate. Detecting the contexts in which students apply these skills facilitates personalized assistance in learning environments during the learning process. This work introduces a method to detect collaborative behavior patterns automatically. It is based on Web Usage Mining techniques and allows us to identify contexts in which collaborative skills are applied. The patterns are discovered using association rules and then are used to update a Collaborative Profile in a Collaborative and Dynamic Student Model. The method was validated with simulation techniques and the results obtained suggest that Web Usage Mining is an effective method for detecting collaborative profiles in distance learning environments.