A Survey of Educational Data-Mining Research

Autor/in	Huebner, Richard A.
Titel	A Survey of Educational Data-Mining Research
Quelle	In: Research in Higher Education Journal, 19 (2013), (13 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1941-3432
Schlagwörter	Educational Research; Data Processing; Data Analysis; Organizational Change; School Holding Power; Student Attrition; Educational Environment; Database Management Systems; Knowledge Management; Higher Education; Educational Improvement; Learning Experience; Organizational Effectiveness; Literature Reviews + Suchen Sie Ihr Suchwort? Bildungsforschung; Pädagogische Forschung; Datenverarbeitung; Auswertung; Organisationswandel; Schülerbeurlaubung; Lernumgebung; Pädagogische Umwelt; Schulumwelt; Datenbanksystem; Wissensmanagement; Hochschulbildung; Hochschulsystem; Hochschulwesen; Teaching improvement; Unterrichtsentwicklung; Lernerfahrung; Unternehmenserfolg
Abstract	Educational data mining (EDM) is an emerging discipline that focuses on applying data mining tools and techniques to educationally related data. The discipline focuses on analyzing educational data to develop models for improving learning experiences and improving institutional effectiveness. A literature review on educational data mining topics which covers topics such as student retention and attrition, personal recommender systems within education, and how data mining can be used to analyze course management system data. Gaps in the current literature and opportunities for further research are presented. (As Provided).
Anmerkungen	Academic and Business Research Institute. 147 Medjool Trail, Ponte Vedra, FL 32081. Tel: 904-435-4330; e-mail: editorial.staff@aabri.com; Web site: http://www.aabri.com
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01