Collaborative Learning Measures using Collaboration Analytics: Applications, Limitations, and Caveats Review

Abstract

There is a widely held belief that social interaction among learners in groups 
enhances learning. However, for collaborative learning to be effective, it 
must meet certain requirements, for example, having appropriate goal 
structures and tasks that demand collective efforts to be solved. 
Collaboration analytics is a field of research that aims to measure 
collaborative learning or learning in groups by quantifying qualitative data. 
Collaboration analytics in research also provides a more reliable tool for 
handling massive amounts of data. However, for data to be reliable, there is 
a need for intercoder agreement. The endeavor to quantify qualitative data 
using collaboration analytics has proven to be useful, but with certain 
limitations and caveats.