Analyzing Interactions by an IIS-Map-Based Method in Face-to-Face Collaborative Learning: An Empirical Study

Autor/inn/en	Zheng, Lanqin; Yang, Kaicheng; Huang, Ronghuai
Titel	Analyzing Interactions by an IIS-Map-Based Method in Face-to-Face Collaborative Learning: An Empirical Study
Quelle	In: Educational Technology & Society, 15 (2012) 3, S.116-132 (17 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1436-4522
Schlagwörter	Foreign Countries; Computer Uses in Education; Program Effectiveness; Research Methodology; Cooperative Learning; Group Activities; Interaction; Information Science; Interaction Process Analysis; Predictive Validity; Coding; Models; Educational Experiments; Computer Graphics; Computer System Design; Educational Technology; Prediction; College Instruction; College Students; Data Analysis; Content Analysis; Network Analysis; Pretests Posttests; China + Suchen Sie Ihr Suchwort? Ausland; Computernutzung; Research method; Forschungsmethode; Kooperatives Lernen; Gruppenaktivität; Interaktion; Informationswissenschaft; Prozessanalyse; Codierung; Programmierung; Analogiemodell; Schulversuch; Computergrafik; Unterrichtsmedien; Vorhersage; Hochschullehre; Collegestudent; Auswertung; Inhaltsanalyse; Netzplantechnik
Abstract	This study proposes a new method named the IIS-map-based method for analyzing interactions in face-to-face collaborative learning settings. This analysis method is conducted in three steps: firstly, drawing an initial IIS-map according to collaborative tasks; secondly, coding and segmenting information flows into information items of IIS; thirdly, computing attributes of information flows and analyzing relationships between attributes and group performance. An example illustrates how the methodology uncovers the interaction process based on information flows. The empirical study aims to validate the effectiveness of this method through thirty groups' interactions. The result indicates that quantity of activation of the targeting knowledge network can predict group performance and the IIS-map-based analysis method can analyze interactions effectively. The primary contribution of this paper is the methodology for analysis of interactions based on information flows. (Contains 8 figures and 4 tables.) (As Provided).
Anmerkungen	International Forum of Educational Technology & Society. Athabasca University, School of Computing & Information Systems, 1 University Drive, Athabasca, AB T9S 3A3, Canada. Tel: 780-675-6812; Fax: 780-675-6973; Web site: http://www.ifets.info
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10