- G. Gweon, Mahaveer Jain, J. McDonough, B. Raj, C. Rosé. 2012. Predicting Idea Co-Construction in Speech Data using Insights from Sociolinguistics. Abstract: Automatic assessment of group processes in collaborative groups is one of the holy grails of the computer supported collaborative learning community. In this paper, we present work towards detecting one type of group process which provides an important window into the inner workings of a group, namely “idea co-construction (ICC)”. What is unique about our approach in relation to other educational data mining techniques is that we adopt insights from sociolinguistic theories by modeling stylistic convergence of speech. We present an unsupervised machine learning technique that is able to generate a predictor of the prevalence of ICC in face-to-face debates with an R 2 value of .13, p < .05.
