Student Groups Modeling by Integrating Cluster Representation and Association Rules Mining
SOFSEM '10 Proceedings of the 36th Conference on Current Trends in Theory and Practice of Computer Science
A decision support system to improve e-learning environments
Proceedings of the 2010 EDBT/ICDT Workshops
Learning task models in ill-defined domain using an hybrid knowledge discovery framework
Knowledge-Based Systems
Tackling HCI challenges of creating personalised, pervasive learning ecosystems
EC-TEL'10 Proceedings of the 5th European conference on Technology enhanced learning conference on Sustaining TEL: from innovation to learning and practice
Educational data mining: a review of the state of the art
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
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
Modelling and identifying collaborative situations in a collocated multi-display groupware setting
AIED'11 Proceedings of the 15th international conference on Artificial intelligence in education
Analysing tabletop based computer supported collaborative learning data through visualization
IVIC'11 Proceedings of the Second international conference on Visual informatics: sustaining research and innovations - Volume Part I
Artificial Intelligence Review
A review of recent advances in learner and skill modeling in intelligent learning environments
User Modeling and User-Adapted Interaction
Introduction to the special section on educational data mining
ACM SIGKDD Explorations Newsletter
Computers in Human Behavior
Data mining for adding adaptive interventions to exploratory and open-ended environments
UMAP'12 Proceedings of the 20th international conference on User Modeling, Adaptation, and Personalization
Evaluating automatic group formation mechanisms to promote collaborative learning - a case study
International Journal of Learning Technology
The use of event logs for collaborative practices reflection
International Journal of Intelligent Information and Database Systems
Improving user experience with case-based reasoning systems using text mining and Web 2.0
Expert Systems with Applications: An International Journal
Computers in Human Behavior
Clustering for improving educational process mining
Proceedings of the Fourth International Conference on Learning Analytics And Knowledge
Using learning analytics to identify successful learners in a blended learning course
International Journal of Technology Enhanced Learning
Hi-index | 0.00 |
Group work is widespread in education. The growing use of online tools supporting group work generates huge amounts of data. We aim to exploit this data to support mirroring: presenting useful high-level views of information about the group, together with desired patterns characterizing the behavior of strong groups. The goal is to enable the groups and their facilitators to see relevant aspects of the group's operation and provide feedback if these are more likely to be associated with positive or negative outcomes and indicate where the problems are. We explore how useful mirror information can be extracted via a theory-driven approach and a range of clustering and sequential pattern mining. The context is a senior software development project where students use the collaboration tool TRAC. We extract patterns distinguishing the better from the weaker groups and get insights in the success factors. The results point to the importance of leadership and group interaction, and give promising indications if they are occurring. Patterns indicating good individual practices were also identified. We found that some key measures can be mined from early data. The results are promising for advising groups at the start and early identification of effective and poor practices, in time for remediation.