College Degrees, Designed by the Numbers

Autor/in	Parry, Marc
Titel	College Degrees, Designed by the Numbers
Quelle	In: Chronicle of Higher Education, (2012) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0009-5982
Schlagwörter	Academic Records; Internet; Academic Degrees; Higher Education; Online Searching; Student Recruitment; Computer Software; Prediction; Academic Achievement; Teaching Methods; Data + Suchen Sie Ihr Suchwort? College; Colleges; University; Universities; Publication; Hochschule; Fachhochschule; Universität; Akademieschrift; Publikation; Degree; Degrees; Academic level graduation; Akademischer Grad; Hochschulabschluss; Hochschulbildung; Hochschulsystem; Hochschulwesen; Online-Recherche; Vorhersage; Schulleistung; Teaching method; Lehrmethode; Unterrichtsmethode; Daten
Abstract	Data mining hinges on one reality about life on the Web: What you do there leaves behind a trail of digital bread crumbs. Companies scoop them up to tailor services, like the matchmaking of eHarmony or the book recommendations of Amazon. Now colleges, eager to get students out the door more efficiently, are awakening to the opportunities of so-called Big Data. Welcome to college, quantified: Data mining produces customized recommendations for courses in which students are likeliest to succeed, and for how they should be taught. The new breed of software can predict how well students will do before they even set foot in the classroom. It recommends courses, Netflix-style, based on students' academic records. (ERIC).
Anmerkungen	Chronicle of Higher Education. 1255 23rd Street NW Suite 700, Washington, DC 20037. Tel: 800-728-2803; Tel: 202-466-1000; Fax: 202-452-1033; e-mail: circulation@chronicle.com; Web site: http://chronicle.com
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10