Language and Discourse Analysis with Coh-Metrix: Applications from Educational Material to Learning Environments at Scale
Year: 2016
Type: article
Abstract: The goal of this article is to preserve and distribute the information presented at the LASI (2014) workshop on Coh-Metrix, a theoretically grounded, computational linguistics facility that analyzes texts on multiple levels of language and discourse. The workshop focused on the utility of Coh-Metrix in discourse theory and educational practice. We discuss some of the motivating factors that led to the development of Coh-Metrix, situated within the context of multilevel theoretical frameworks of discourse comprehension and learning. A review of published studies will highlight the applications of Coh-Metrix, ranging from the scaling and selection of educational material to learning environments at scale. The examples illustrate the relationship between discourse and cognitive, affective, and social processes. We walk through the pedagogical guidelines that should be followed when analyzing texts using Coh-Metrix. Finally, we conclude the paper with a general discussion of the future directions for Coh-Metrix including methodological and practical implications for the learning analytics (LA) and educational data mining (EDM) community.
Source: Journal of Learning Analytics
Institution: University of Memphis
Language: English
Subfield: Linguistics and Language
Field: Social Sciences
Domain: Social Sciences
SDG: Quality education
Open Access status: hybrid
Awards: NSCC/LA: Collaborative Research: Modeling Discourse and Social Dynamics in Authoritarian Regimes, G1476689794, AutoMentor: Virtual Mentoring and Assessment in Computer Games for STEM Learning, G2533647393, Coh-Metrix: Automated Cohesion and Coherence Scores to Predict Text Readability and Facilitate Comprehension, G4237611823
OpenAlex ID: W2566432964