Big Data Oriented Partner Selection in Collaborative Learning

Collaborative Learning is seen as an effective leaning strategy to increase students' achievement, create positive relationships among learners in online education. The traditional hypothesis of partner selection in collaborative learning is that teachers must be skilled at the task to assign the learning partners, or the collaboration will not benefit an individual if he or she is below a certain developmental level. It is hard to assess whether the teachers are skillful, and whether the learners have the sufficient capabilities to be a good partner. In this paper, we give the classification and characteristics of the big data in the field of Collaborative Learning, and then discuss about data mining on Collaborative Learning and the user behavior analysis which is used to select the appropriate learning partner. Next we describe the overall framework of big data on partner Selection in collaborative learning, and emphasize the application which can he realized according to the different levels of learning participants. Our goal in this paper is to pave the way for partner selection to solve the fundamental problem of collaborative learning, which will contribute to the development of online education outcome with big data.