Data Mining in the E-Learning Domain

Autor/in	Hanna, Margo
Titel	Data Mining in the E-Learning Domain
Quelle	In: Campus-Wide Information Systems, 21 (2004) 1, S.29-34 (6 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1065-0741
DOI	10.1108/10650740410512301
Schlagwörter	Higher Education; Business; Economic Impact; Classification; Multivariate Analysis; Data Analysis; Databases; Computer Software; Internet; Management Systems; Online Courses; Web Based Instruction; Educational Technology + Suchen Sie Ihr Suchwort? Hochschulbildung; Hochschulsystem; Hochschulwesen; Business studies; Wirtschaft; Betriebswirtschaft; Ökonomische Determinanten; Classification system; Klassifikation; Klassifikationssystem; Multivariate Analyse; Auswertung; Datenbank; Online course; Online-Kurs; Web Based Training; Unterrichtsmedien
Abstract	Higher education (HE) is becoming a big business, with huge investments in IT technology supporting online learning. With the awareness of the knowledge economy has come a growing consciousness that HE constitutes a large industry or economic sector in its own right. In a marketing fashion, we understand that some customers present much greater profit potential than others. But, how will we find those high-potential customers in a database that contains hundreds of data items for each of millions of customers? Data mining software can help find the "high-profit" gems buried in mountains of information. However, merely identifying the best prospects is not enough to improve customer value. One must somehow fit the data mining results into the execution of the content management system that enhances the profitability of customer relationships. However, data mining is not yet engaged into e-learning systems. This paper describes how we can profit from the integration of data mining and the e-learning technology. (Contains 2 figures.) (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10