Learning Analytics for Computer-Supported Collaborative Learning Design

Abstract

With the development of learning technology, learning analytics has been used to analyze lots of data about learners to improve learning performance and inform learning design. However, teachers and practitioners still found it is challenging to integrate learning analytics into computer-supported collaborative learning (CSCL) design. This chapter developed a collaborative learning analysis framework to illuminate how to analyze collaborative learning. The proposed framework includes six elements, namely analysis of cognitions, metacognitions, behaviors, emotions, social network relationships, and alignment. A case study was conducted to validate the proposed framework and illustrate how analysis results influence collaborative learning design decisions. This framework also contributed to inform and optimize computer-supported collaborative learning design.