Enhancing Teaching and Learning through Educational Data Mining and Learning Analytics: An Issue Brief

Autor/inn/en	Bienkowski, Marie; Feng, Mingyu; Means, Barbara
Institution	Department of Education (ED), Office of Educational Technology; SRI International
Titel	Enhancing Teaching and Learning through Educational Data Mining and Learning Analytics: An Issue Brief
Quelle	(2012), (77 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Monographie
Schlagwörter	Teaching Methods; Learning Processes; Data Analysis; Barriers; Outcomes of Education; Productivity; Kindergarten; Elementary Secondary Education; Educational Policy; Educational Administration; Academic Achievement; Decision Making; Online Systems; Web Sites; Privacy; Ethics; Data Use; Computer Software; Integrated Learning Systems; Student Behavior; Trend Analysis; Individualized Instruction; Profiles; Learning Activities + Suchen Sie Ihr Suchwort? Teaching method; Lehrmethode; Unterrichtsmethode; Learning process; Lernprozess; Auswertung; Lernleistung; Schulerfolg; Produktivität; Politics of education; Bildungspolitik; Bildungsverwaltung; Schuladministration; Schulverwaltung; Schulleistung; Decision-making; Entscheidungsfindung; Online; Web-Design; Privatsphäre; Ethik; Student behaviour; Schülerverhalten; Trendanalyse; Individualisierender Unterricht; Charakterisierung; Profilanalyse; Lernaktivität
Abstract	As more of commerce, entertainment, communication, and learning are occurring over the Web, the amount of data online activities generate is skyrocketing. Commercial entities have led the way in developing techniques for harvesting insights from this mass of data for use in identifying likely consumers of their products, in refining their products to better fit consumer needs, and in tailoring their marketing and user experiences to the preferences of the individual. More recently, researchers and developers of online learning systems have begun to explore analogous techniques for gaining insights from learners' activities online. This issue brief describes data analytics and data mining in the commercial world and how similar techniques (learner analytics and educational data mining) are starting to be applied in education. The brief examines the challenges being encountered and the potential of such efforts for improving student outcomes and the productivity of K--12 education systems. The goal is to help education policymakers and administrators understand how data mining and analytics work and how they can be applied within online learning systems to support education-related decision making. (ERIC).
Anmerkungen	Office of Educational Technology, US Department of Education. Available from: ED Pubs. P.O. Box 1398, Jessup, MD 20794-1398. Tel: 202-401-1444; Fax: 202-401-3941; Web site: http://www2.ed.gov/about/offices/list/os/technology/index.html
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01