Open AccessModeling Learners’ Cognitive, Affective, and Social Processes through Language and Discourse
Author(s) -
Nia Dowell,
Arthur C. Graesser
Publication year - 2014
Publication title -
journal of learning analytics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.084
H-Index - 7
ISSN - 1929-7750
DOI - 10.18608/jla.2014.13.18
Subject(s) - collaborative learning , learning analytics , computer science , language acquisition , computer mediated communication , cognition , computer supported collaborative learning , discourse analysis , educational technology , cognitive science , human–computer interaction , psychology , knowledge management , pedagogy , linguistics , mathematics education , data science , world wide web , the internet , philosophy , neuroscience
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.