Analyzing the Main Paths of Knowledge Evolution and Contributor Roles in an Open Learning Community

Autor/inn/en	Halatchliyski, Iassen; Hecking, Tobias; Göhnert, Tilman; Hoppe, H. Ulrich
Titel	Analyzing the Main Paths of Knowledge Evolution and Contributor Roles in an Open Learning Community
Quelle	In: Journal of Learning Analytics, 1 (2014) 2, S.72-93 (22 Seiten)Infoseite zur Zeitschrift PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1929-7750
Schlagwörter	Path Analysis; Knowledge Level; Communities of Practice; Computer Mediated Communication; Network Analysis; Cooperation; Graphs; Visualization; Educational Resources; Learning Processes; Social Networks; Cooperative Learning; Data Collection; Data Analysis; Biology; Engineering + Suchen Sie Ihr Suchwort? Pfadanalyse; Wissensbasis; Community; Computerkonferenz; Netzplantechnik; Co-operation; Kooperation; Grafische Darstellung; Visualisation; Visualisierung; Bildungsmittel; Learning process; Lernprozess; Social network; Soziales Netzwerk; Kooperatives Lernen; Data capture; Datensammlung; Auswertung; Biologie; Maschinenbau
Abstract	This paper introduces the scientometric method of main path analysis and its application in an exemplary study of the paths of knowledge development and the roles of contributors in Wikiversity. Data from two scientific domains in this online learning community has been used. We see this as a step forward in adapting and adopting network analysis techniques for analyzing collaboration processes in knowledge building communities. The analysis steps are presented in detail including the description of a tool environment ("workbench") designed for flexible use by non-computer experts. By identifying directed acyclic graphs, the meaningful interconnections between developing learning resources are analyzed by considering their temporal sequence. A schema for the visualization of the results is introduced. The potential of the method is elaborated for the evaluation of the overall learning process in different domains as well as for the individual contributions of the participants. Different outstanding roles of contributors in Wikiversity are presented and discussed. (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