Three Interaction Patterns on Asynchronous Online Discussion Behaviours: A Methodological Comparison

Autor/inn/en	Jo, I.; Park, Y.; Lee, H.
Titel	Three Interaction Patterns on Asynchronous Online Discussion Behaviours: A Methodological Comparison
Quelle	In: Journal of Computer Assisted Learning, 33 (2017) 2, S.106-122 (17 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Park, Y.)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0266-4909
DOI	10.1111/jcal.12168
Schlagwörter	Computer Mediated Communication; Interaction Process Analysis; Undergraduate Students; Predictor Variables; Multiple Regression Analysis; Social Networks; Content Analysis; Grades (Scholastic); Teaching Methods; Student Centered Learning; Case Studies; Comparative Analysis; Behavior Patterns; Student Behavior; Network Analysis; Group Discussion + Suchen Sie Ihr Suchwort? Computerkonferenz; Prozessanalyse; Prädiktor; Social network; Soziales Netzwerk; Inhaltsanalyse; Notenspiegel; Teaching method; Lehrmethode; Unterrichtsmethode; Group work; Student-entered learning; Student-centred learning; Student centred learning; Schülerorientierter Unterricht; Schülerzentrierter Unterricht; Gruppenarbeit; Case study; Fallstudie; Case Study; Student behaviour; Schülerverhalten; Netzplantechnik; Gruppendiskussion
Abstract	An asynchronous online discussion (AOD) is one format of instructional methods that facilitate student-centered learning. In the wealth of AOD research, this study evaluated how students' behavior on AOD influences their academic outcomes. This case study compared the differential analytic methods including web log mining, social network analysis and content analysis which were selected by three interaction patterns: person to system (P2S), person to person (P2P) and person to content (P2C) interaction. Forty-three undergraduate students participated in an online discussion forum for 12 weeks. Multiple regression analyses with the predictor variables from P2S, P2P and P2C and with a criterion variable of a final grade indicated several interesting findings. For P2S analysis, visits on board (VOB) had a significant variable to predict final grades. Also, the result of P2P analysis proved that in-degree and out-degree centrality predicted final grades. The P2C results based on cognitive presence represent that students' messages were mostly affiliated to the exploration and integration levels and also predicted the final grades. This study ultimately demonstrated the effectiveness of using multiple analytic methodologies to address and facilitate students' participation at AOD. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01