Language and Discourse Analysis with Coh-Metrix: Applications from Educational Material to Learning Environments at Scale

Autor/inn/en	Dowell, Nia M. M.; Graesser, Arthur C.; Cai, Zhiqiang
Titel	Language and Discourse Analysis with Coh-Metrix: Applications from Educational Material to Learning Environments at Scale
Quelle	In: Journal of Learning Analytics, 3 (2016) 3, S.72-95 (24 Seiten)Infoseite zur Zeitschrift PDF als Volltext kostenfreie Datei Verfügbarkeit
Zusatzinformation	Weitere Informationen
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1929-7750
Schlagwörter	Discourse Analysis; Workshops; Computational Linguistics; Guidelines; Teaching Methods; Affective Behavior; Correlation; Educational Practices; Data Collection; Data Analysis; Online Courses; Mass Instruction; Syntax; Language Usage; Semantics; Prediction; Best Practices; Text Structure + Suchen Sie Ihr Suchwort? Diskursanalyse; Lernwerkstatt; Schulung; Linguistics; Computerlinguistik; Richtlinien; Teaching method; Lehrmethode; Unterrichtsmethode; Affective disturbance; Active behaviour; Affektive Störung; Korrelation; Bildungspraxis; Data capture; Datensammlung; Auswertung; Online course; Online-Kurs; Sprachgebrauch; Semantik; Vorhersage; Textstruktur
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. (As Provided).
Anmerkungen	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/
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01