Mining Collaborative Patterns in Tutorial Dialogues

Autor/inn/en	D'Mello, Sidney; Olney, Andrew; Person, Natalie
Titel	Mining Collaborative Patterns in Tutorial Dialogues
Quelle	In: Journal of Educational Data Mining, 2 (2010) 1, S.1-37 (37 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Zusatzinformation	Weitere Informationen
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	2157-2100
Schlagwörter	Tutors; Interpersonal Communication; Discourse Analysis; Intelligent Tutoring Systems; Markov Processes; Sequential Approach; Science Education; Mathematics Education; Questioning Techniques; Information Retrieval; Probability; Equations (Mathematics); Data Analysis + Suchen Sie Ihr Suchwort? Förderlehrer; Lehrender; Tutor; Interpersonale Kommunikation; Diskursanalyse; Intelligentes Tutorsystem; Markowscher Prozess; Schrittfolge; Naturwissenschaftliche Bildung; Mathematische Bildung; Befragungstechnik; Fragetechnik; Wahrscheinlichkeitsrechnung; Wahrscheinlichkeitstheorie; Equations; Mathematics; Gleichungslehre; Auswertung
Abstract	We present a method to automatically detect collaborative patterns of student and tutor dialogue moves. The method identifies significant two-step excitatory transitions between dialogue moves, integrates the transitions into a directed graph representation, and generates and tests data-driven hypotheses from the directed graph. The method was applied to a large corpus of student-tutor dialogue moves from expert tutoring sessions. An examination of the subset of the corpus consisting of tutor lectures revealed collaborative patterns consistent with information-transmission, information-elicitation, off topic-conversation, and student initiated questions. Sequences of dialogue moves within each of these patterns were also identified. Comparisons of the method to other approaches and applications towards the computational modeling of expert human tutors are discussed. (As Provided).
Anmerkungen	International Working Group on Educational Data Mining. e-mail: jedm.editor@gmail.com; Web site: http://www.educationaldatamining.org/JEDM/index.php/JEDM/index
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01