Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Machine Learning
Empirical Evaluation of User Models and User-Adapted Systems
User Modeling and User-Adapted Interaction
Towards a Personalized Web-Based Educational System
MICAI '00 Proceedings of the Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence
Applications of a Collaborative Learning Ontology
MICAI '02 Proceedings of the Second Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence
Personalised hypermedia presentation techniques for improving online customer relationships
The Knowledge Engineering Review
Off-task behavior in the cognitive tutor classroom: when students "game the system"
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Using data mining as a strategy for assessing asynchronous discussion forums
Computers & Education
Developing creativity, motivation, and self-actualization with learning systems
International Journal of Human-Computer Studies - Special issue: Computer support for creativity
A layered framework for evaluating on-line collaborative learning interactions
International Journal of Human-Computer Studies
Learning from Data Streams: Processing Techniques in Sensor Networks
Learning from Data Streams: Processing Techniques in Sensor Networks
ICALT '08 Proceedings of the 2008 Eighth IEEE International Conference on Advanced Learning Technologies
A Method to Classify Collaboration in CSCL Systems
ICANNGA '07 Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part I
UM '07 Proceedings of the 11th international conference on User Modeling
International Journal of Artificial Intelligence in Education
Supporting teachers in collaborative student modeling: A framework and an implementation
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
User-centered evaluation of adaptive and adaptable systems: A literature review
The Knowledge Engineering Review
Formation of Learning Groups by using Learner Profiles and Context Information
Proceedings of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology
Clustering learners according to their collaboration
CSCWD '09 Proceedings of the 2009 13th International Conference on Computer Supported Cooperative Work in Design
UMAP '09 Proceedings of the 17th International Conference on User Modeling, Adaptation, and Personalization: formerly UM and AH
Log file analysis for disengagement detection in e-Learning environments
User Modeling and User-Adapted Interaction
Temporal transitions in participation flow in an asynchronous discussion forum
Computers & Education
EC-TEL '09 Proceedings of the 4th European Conference on Technology Enhanced Learning: Learning in the Synergy of Multiple Disciplines
The adaptive web
Expert Systems with Applications: An International Journal
Educational data mining: a review of the state of the art
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Towards an ontology for knowledge management in communities of practice
PAKM'06 Proceedings of the 6th international conference on Practical Aspects of Knowledge Management
Situation modeling and smart context retrieval with semantic web technology and conflict resolution
MRC'05 Proceedings of the Second international conference on Modeling and Retrieval of Context
Comparison of two learning models for collaborative e-learning
Edutainment'06 Proceedings of the First international conference on Technologies for E-Learning and Digital Entertainment
Activity sequence modelling and dynamic clustering for personalized e-learning
User Modeling and User-Adapted Interaction
Modelling symmetry of activity as an indicator of collocated group collaboration
UMAP'11 Proceedings of the 19th international conference on User modeling, adaption, and personalization
Div-clustering: Exploring active users for social collaborative recommendation
Journal of Network and Computer Applications
Review: Educational data mining: A survey and a data mining-based analysis of recent works
Expert Systems with Applications: An International Journal
Creating a model of the dynamics of socio-technical groups
User Modeling and User-Adapted Interaction
Hi-index | 0.00 |
Modeling user behavior (user modeling) via data mining faces a critical unresolved issue: how to build a collaboration model based on frequent analysis of students in order to ascertain whether collaboration has taken place. Numerous human-based and knowledge-based solutions to this problem have been proposed, but they are time-consuming or domain-dependent. The diversity of these solutions and their lack of common characteristics are an indication of how unresolved this issue remains. Bearing this in mind, our research has made progress on several fronts. First, we have found supportive evidence, based on a collaborative learning experience with hundreds of students over three consecutive years, that an approach using domain independent learning that is transferable to current e-learning platforms helps both students and teachers to manage student collaboration better. Second, the approach draws on a domain-independent modeling method of collaborative learning based on data mining that helps clarify which user-modeling issues are to be considered. We propose two data mining methods that were found to be useful for evaluating student collaboration, and discuss their respective advantages and disadvantages. Three data sources to generate and evaluate the collaboration model were identified. Third, the features being modeled were made accessible to students in several meta-cognitive tools. Their usage of these tools showed that the best approach to encourage student collaboration is to show only the most relevant inferred information, simply displayed. Moreover, these tools also provide teachers with valuable modeling information to improve their management of the collaboration. Fourth, an ontology, domain independent features and a process that can be applied to current e-learning platforms make the approach transferable and reusable. Fifth, several open research issues of particular interest were identified. We intend to address these open issues through research in the near future.