Big Data & Learning Analytics: A Potential Way to Optimize eLearning Technological Tools

Autor/inn/en	García, Olga Arranz; Secades, Vidal Alonso
Titel	Big Data & Learning Analytics: A Potential Way to Optimize eLearning Technological Tools
Quelle	(2013), (5 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Monographie
Schlagwörter	Educational Technology; Technology Uses in Education; Electronic Learning; Blended Learning; Data Collection; Data Analysis; Educational Research; Large Group Instruction; Higher Education; Integrated Learning Systems; Case Studies; Foreign Countries; Statistical Analysis; Spain + Suchen Sie Ihr Suchwort? Unterrichtsmedien; Technology enhanced learning; Technology aided learning; Technologieunterstütztes Lernen; Data capture; Datensammlung; Auswertung; Bildungsforschung; Pädagogische Forschung; Hochschulbildung; Hochschulsystem; Hochschulwesen; Case study; Fallstudie; Case Study; Ausland; Statistische Analyse; Spanien
Abstract	In the information age, one of the most influential institutions is education. The recent emergence of MOOCS [Massively Open Online Courses] is a sample of the new expectations that are offered to university students. Basing decisions on data and evidence seems obvious, and indeed, research indicates that data-driven decision-making improves organizational productivity. The most dramatic factor shaping the future of higher education is Big Data and analytics. Big Data emphasizes that the data itself is a path to value generation in organizations and it is, also, a critical value for higher education institutions. The emerging practice of academic analytics is likely to become a new useful tool for a new era. Analytics and big data have a significant role to play in the future of higher education. This paper attempts an analytical practice about the use of e-learning technological tools to generate relevant information, for the teacher and the students who try to optimize their learning process.This combination of data-processing and analytical learning is an aid to improve significantly higher education and mark the path to follow in the new educational era. [For the full proceedings, see ED562127.] (As Provided).
Anmerkungen	International Association for the Development of the Information Society. e-mail: secretariat@iadis.org; Web site: http://www.iadisportal.org
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01