Literaturnachweis - Detailanzeige
| Autor/inn/en | Dietz-Uhler, Beth; Hurn, Janet E. |
|---|---|
| Titel | Using Learning Analytics to Predict (and Improve) Student Success: A Faculty Perspective |
| Quelle | In: Journal of Interactive Online Learning, 12 (2013) 1, S.17-26 (10 Seiten)Infoseite zur Zeitschrift
PDF als Volltext |
| Sprache | englisch |
| Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
| ISSN | 1541-4914 |
| Schlagwörter | Technology Uses in Education; College Students; Academic Achievement; Prediction; Data Analysis; Foreign Countries; Universities; Community Colleges; Integrated Learning Systems; Arizona; Australia; Florida; Indiana; Maryland; Michigan |
| Abstract | Learning analytics is receiving increased attention, in part because it offers to assist educational institutions in increasing student retention, improving student success, and easing the burden of accountability. Although these large-scale issues are worthy of consideration, faculty might also be interested in how they can use learning analytics in their own courses to help their students succeed. In this paper, we define learning analytics, how it has been used in educational institutions, what learning analytics tools are available, and how faculty can make use of data in their courses to monitor and predict student performance. Finally, we discuss several issues and concerns with the use of learning analytics in higher education. (As Provided). |
| Anmerkungen | University of Alabama. 152 Rose Administration, P.O. Box 870104, Tuscaloosa, AL 35487. Web site: http://www.ncolr.org/jiol |
| Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
| Update | 2017/4/10 |
Literaturbeschaffung und Bestandsnachweise in Bibliotheken prüfen
Permalink als QR-Code
Inhalt auf sozialen Plattformen teilen (nur vorhanden, wenn Javascript eingeschaltet ist)
Teile diese Seite:
