Volume 5, Issue 6-1, December 2016, Page: 1-6
Big Data, Online Reputation and Knowledge Management in Higher Education Online
Consuelo León Llorente, School of Communication, Istmo University, UNIS, Guatemala
Marta Matias Roca, Lakefield Hospitality College, London, England United Kingdom
Received: Jul. 11, 2016;       Accepted: Jul. 27, 2016;       Published: Sep. 3, 2016
DOI: 10.11648/j.ss.s.2016050601.11      View  2611      Downloads  65
Abstract
Summary: The progressive digitalization of our society has also transformed the online training. The new platforms offer more features, favour a tailored education and are compatible with the working life of the student. From the servers it is possible to measure the rate of interaction and the student’s dropout rates. For this reason, the phenomenon of Big Data requires a rethinking of the concept of reputation based on three ideas: transparency, trust and digital identity of the educational organization. This article analyzes the case of the School of Communication at the Istmo University (UNIS) in Guatemala. The use of Blackboard platform improved learning and interaction in those students. It is confirmed that the e-learning platform known as Blackboard facilitates learning and teacher-student interaction. This tool collects and updates data throughout the process, so that the educational organization can monitor the degree of interaction and student dropout.
Keywords
Learning Platforms, Big Data, Corporate Reputation, Digital Identity, Transparency, Visibility
To cite this article
Consuelo León Llorente, Marta Matias Roca, Big Data, Online Reputation and Knowledge Management in Higher Education Online, Social Sciences. Special Issue:Re-Imagine Education for Social Improvement. Vol. 5, No. 6-1, 2016, pp. 1-6. doi: 10.11648/j.ss.s.2016050601.11
Copyright
Copyright © 2016 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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