A Data Mining Approach to Reveal Representative Collaboration Indicators in Open Collaboration Frameworks

Data mining methods are successful in educational environments to discover new knowledge or learner skills or features. Unfortunately, they have not been used in depth with collaboration. We have developed a scalable data mining method, whose objective is to infer information on the collaboration during the collaboration process in a domain-independent way and to improve collaboration process management and learning in an open collaborative educational web environment. Thus, we used statistical indicators of learner's interactions in forums as the data source and a clustering algorithm to classify the data according to learner's collaboration. We showed the information on learner's collaboration to the tutor and learners to help them with collaboration process management. The experimental results support this method.

• Type: Journal
• Year: 2009
• Where: EDM
• Authors: Antonio R. Anaya, Jesus Boticario
• Keywords: Collaboration, Collaboration Process, Data Mining, EDM 2009, Learners