An Infrastructure for Workplace Learning Analytics: Tracing Knowledge Creation with the Social Semantic Server

Autor/inn/en	Ruiz-Calleja, Adolfo; Dennerlein, Sebastian; Kowald, Dominik; Theiler, Dieter; Lex, Elisabeth; Ley, Tobias
Titel	An Infrastructure for Workplace Learning Analytics: Tracing Knowledge Creation with the Social Semantic Server
Quelle	In: Journal of Learning Analytics, 6 (2019) 2, S.120-139 (20 Seiten)Infoseite zur Zeitschrift PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1929-7750
Schlagwörter	Workplace Learning; Learning Analytics; Data Processing; Data Collection; Computer System Design; Inservice Teacher Education; Researchers; Health Personnel; Foreign Countries; Program Effectiveness; Estonia; Austria; United Kingdom (England); Europe + Suchen Sie Ihr Suchwort? Datenverarbeitung; Data capture; Datensammlung; Lehrerfortbildung; Researcher; Forscher; Medizinisches Personal; Ausland; Estland; Österreich; Europa
Abstract	In this paper, we propose the Social Semantic Server (SSS) as a service-based infrastructure for workplace and professional learning analytics (LA). The design and development of the SSS have evolved over eight years, starting with an analysis of workplace learning inspired by knowledge creation theories and their application in different contexts. The SSS collects data from workplace learning tools, integrates it into a common data model based on a semantically enriched artifact-actor network, and offers it back for LA applications to exploit the data. Further, the SSS design's flexibility enables it to be adapted to different workplace learning situations. This paper contributes by systematically deriving requirements for the SSS according to knowledge creation theories, and by offering support across a number of different learning tools and LA applications integrated into the SSS. We also show evidence for the usefulness of the SSS extracted from 4 authentic workplace learning situations involving 57 participants. The evaluation results indicate that the SSS satisfactorily supports decision making in diverse workplace learning situations and allow us to reflect on the importance of knowledge creation theories for this analysis. (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