Modeling Learners’ Cognitive, Affective, and Social Processes through Language and Discourse

Authors

  • Nia Marcia Maria Dowell University of Memphis & Institute for Intelligent Systems
  • Arthur C. Graesser University of Memphis

DOI:

https://doi.org/10.18608/jla.2014.13.18

Keywords:

Coh-Metrix, learning analytics, computer mediated communication, online learning, educational data mining

Abstract

There is an emerging trend toward computer-mediated collaborative learning environments that promote lively exchanges between learners in order to facilitate learning. Discourse can play an important role in enhancing epistemology, pedagogy, and assessments in these environments. In this paper we highlight some of our recent work showing the advantages using theoretically grounded automated linguistics tools to identify pedagogically valuable discourse features that can be applied in collaborative learning, intelligent tutoring systems (ITS), computer-mediated collaborative learning (CMCL), and MOOC environments.

Author Biography

Nia Marcia Maria Dowell, University of Memphis & Institute for Intelligent Systems

Department of Psychology

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Published

2014-11-19

How to Cite

Dowell, N. M. M., & Graesser, A. C. (2014). Modeling Learners’ Cognitive, Affective, and Social Processes through Language and Discourse. Journal of Learning Analytics, 1(3), 183-186. https://doi.org/10.18608/jla.2014.13.18

Issue

Section

Special section: Sparks of the learning analytics future (LASI 2014)