Early-Stage Engagement: Applying Big Data Analytics on Collaborative Learning Environment for Measuring Learners' Engagement Rate

Computer-supported Collaborative Learning (CSCL) is a pedagogical strategy associated with how learners construct knowledge with a group by computer-based learning system. In recent years, most of the computer-based learning systems record the interaction log of each learner when developing course assignments. However, the recorded data is facing a challenge to expose the learners behaviors during the course and to design a computer-supported collaborative learning activity. To address those challenges in this paper, a novel collaborative programming tool called Software Project Development and Insight Learning Environment (SPDI Learning Environment) is described. The SPDI Learning environment allows learners of computer science to develop course assignments collaboratively. Besides, it allows instructors to investigate the learners behaviors by associating a web-based integrated development environment (IDE) with Big Data analysis pipeline and Visualization Dashboard. In addition to collect real data from courses, we designed learning activities to help teachers to engage the field of CSCL and Learning Analytics.