Assessment of Learning in Digital Interactive Social Networks: A Learning Analytics Approach

Autor/inn/en	Wilson, Mark; Gochyyev, Perman; Scalise, Kathleen
Titel	Assessment of Learning in Digital Interactive Social Networks: A Learning Analytics Approach
Quelle	In: Online Learning, 20 (2016) 2, S.97-119 (23 Seiten)Infoseite zur Zeitschrift PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1939-5256
Schlagwörter	Data Collection; Data Analysis; Technological Literacy; Social Networks; Foreign Countries; Educational Technology; Technology Uses in Education; Evaluation Methods; Educational Research; Models; Human Capital; Information Systems; Vignettes; Australia; Finland; Singapore; United States + Suchen Sie Ihr Suchwort? Data capture; Datensammlung; Auswertung; Technisches Wissen; Social network; Soziales Netzwerk; Ausland; Unterrichtsmedien; Technology enhanced learning; Technology aided learning; Technologieunterstütztes Lernen; Bildungsforschung; Pädagogische Forschung; Analogiemodell; Humankapital; Australien; Finnland; Singapur; USA
Abstract	This paper summarizes initial field-test results from data analytics used in the work of the Assessment and Teaching of 21st Century Skills (ATC21S) project, on the "ICT Literacy--Learning in digital networks" learning progression. This project, sponsored by Cisco, Intel and Microsoft, aims to help educators around the world enable students with the skills to succeed in future career and college goals. The paper begins with describing some expansions to a common definition of learning analytics, then includes a review of the literature on ICT literacy, including the specific development that led to the ATC21S effort. This is followed by a description of the development of a "learning progression" for this project, as well as the logic behind the instrument construction and data analytics, along with examples of each. Data were collected in a demonstration digital environment in four countries: Australia, Finland, Singapore and the U.S. The results indicate that the new constructs developed by the project, and the novel item forms and analytics that were employed, are indeed capable of being employed in a large-scale digital environment. The paper concludes with a discussion of the next steps for this effort. (As Provided).
Anmerkungen	Online Learning Consortium, Inc. P.O. Box 1238, Newburyport, MA 01950. Tel: 888-898-6209; Fax: 888-898-6209; e-mail: olj@onlinelearning-c.org; Web site: http://onlinelearningconsortium.org/read/online-learning-journal/
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01