In this study, we explore the potential of a natural language processing (NLP) approach to support discourse analysis of in-situ, small group learning conversations. The theoretical basis of this work derives from Bakhtin's notion of speech genres as bounded by educational robotics activity. Our goal is to leverage computational linguistics…

This paper describes a technique for locating indicators of success within the data collected from complex learning environments, proposing an application of e-research to access learner processes and measure and track group progress. The technique combines automated extraction of tense and modality via parts-of-speech tagging with a visualisation…