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Autor/inPorouhan, Parham
TitelProcess Mining and Interaction Data Analytics in a Web-Based Multi-Tabletop Collaborative Learning and Teaching Environment
QuelleIn: International Journal of Web-Based Learning and Teaching Technologies, 14 (2018) 4, S.34-61, Artikel 3 (28 Seiten)Infoseite zur Zeitschrift
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Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN1548-1093
DOI10.4018/IJWLTT.2018100103
SchlagwörterData Analysis; Cooperative Learning; Web Based Instruction; Student Participation; Group Dynamics; Interaction Process Analysis; Intervals; Task Analysis; High Achievement; Low Achievement; Social Networks; Concept Mapping; International Education; Undergraduate Students; Comparative Analysis; Computer Assisted Instruction
AbstractThis article builds on the intersection of educational process mining and the automatic analysis of student's collaborative interaction data previously collected from a web-based multi-tabletop learning environment. The main focus of the article was to analyze and interpret the data using several process mining techniques in order to increase the instructor's awareness (knowledge) about the students' collaboration process and group progress in terms of specific quantitative indicators as follows: participation (consisting of participation density, participation rate and participation dynamics metrics), interaction (consisting of interaction density and interaction dynamics metrics), time performance (including the number of time intervals between the activities as well as the duration of idle/inactive periods), similarity of tasks (or symmetry of actions) and division of labor (or symmetry of roles). The empirical findings showed that there are substantial differences between the high and low performance groups. (As Provided).
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Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2020/1/01
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