Analyzing Social Media and Learning through Content and Social Network Analysis: A Faceted Methodological Approach

Autor/inn/en	Gruzd, Anatoliy; Paulin, Drew; Haythornthwaite, Caroline
Titel	Analyzing Social Media and Learning through Content and Social Network Analysis: A Faceted Methodological Approach
Quelle	In: Journal of Learning Analytics, 3 (2016) 3, S.46-71 (26 Seiten)Infoseite zur Zeitschrift PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1929-7750
Schlagwörter	Social Media; Teaching Methods; Network Analysis; Workshops; Data Analysis; Data Collection; Educational Research; Evaluation Methods; Telecommunications; Handheld Devices; Large Group Instruction; Online Courses; Educational Technology; Technology Uses in Education + Suchen Sie Ihr Suchwort? Soziale Medien; Teaching method; Lehrmethode; Unterrichtsmethode; Netzplantechnik; Lernwerkstatt; Schulung; Auswertung; Data capture; Datensammlung; Bildungsforschung; Pädagogische Forschung; Telekommunikationstechnik; Online course; Online-Kurs; Unterrichtsmedien; Technology enhanced learning; Technology aided learning; Technologieunterstütztes Lernen
Abstract	In just a short period, social media have altered many aspects of our daily lives, from how we form and maintain social relationships to how we discover, access, and share information online. Now social media are also affecting how we teach and learn. In this paper, we discuss methods that can help researchers and educators evaluate and understand the observed and potential use of social media for teaching and learning through content and network analyses of social media texts and networks. This paper is based on a workshop given at the 2014 Learning Analytics and Knowledge conference, and presents an overview of the measures and potential of a multi-method approach for studying learning via social media. The theoretical discussion is augmented with study of the case of Twitter discussion from a cMOOC class. (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