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ERIC Number: EJ1127053
Record Type: Journal
Publication Date: 2014
Pages: 4
Abstractor: As Provided
Reference Count: 9
ISBN: N/A
ISSN: EISSN-1929-7750
Modelling Learners' Cognitive, Affective, and Social Processes through Language and Discourse
Dowell, Nia M. M.; Graesser, Arthur C.
Journal of Learning Analytics, v1 n3 p183-186 2014
An emerging trend toward computer-mediated collaborative learning environments promotes 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.
Society for Learning Analytics Research. 121 Pointe Marsan, Beaumont, AB T4X 0A2, Canada. Tel: +61-429-920-838; e-mail: info@solaresearch.org; Web site: http://learning-analytics.info/journals/index.php/JLA/
Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: National Science Foundation (NSF); US Air Force (DOD), Office of Scientific Research (AFOSR); US Department of Homeland Security
Authoring Institution: N/A
Grant or Contract Numbers: BCS0904909|DRK120918409|14RT1214|Z934002/UTAA08063