Conceptual network of teachers' talk: Automatic analysis and quantitative measures
Abstract
Educational field can take advantage of the improvements of Automatic Speech Recognition (ASR), since we can apply ASR algorithms in non-ideal conditions such as real classrooms. In the context of [name deleted to maintain the integrity of the review process], conceptual networks are studied. The networks relate key concepts used by the teacher in his/her discourse. In the present study, quantitative metrics are provided, such as centrality measures and PageRank, which can be used to analyse the conceptual networks. With a case-study design, two teachers’ classes are described quantitatively and qualitatively using the metrics, suggesting that PageRank could be a good metric to find differences in teachers’ discourse. Finally, we discuss about the potential of this kind of analysis.
