Big Data and Learning Analytics in Blended Learning Environments: Benefits and Concerns

The purpose of this article is to examine big data and learning analytics in blended learning environments. It will examine the nature of these concepts, provide basic definitions, and identify the benefits and concerns that apply to their development and implementation. This article draws on concep...

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Main Author: Anthony G. Picciano
Format: Article
Language:English
Published: Universidad Internacional de La Rioja (UNIR) 2014-09-01
Series:International Journal of Interactive Multimedia and Artificial Intelligence
Subjects:
Online Access:http://www.ijimai.org/JOURNAL/sites/default/files/files/2014/09/ijimai20142_7_5_pdf_15146.pdf
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author Anthony G. Picciano
author_facet Anthony G. Picciano
author_sort Anthony G. Picciano
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description The purpose of this article is to examine big data and learning analytics in blended learning environments. It will examine the nature of these concepts, provide basic definitions, and identify the benefits and concerns that apply to their development and implementation. This article draws on concepts associated with data-driven decision making, which evolved in the 1980s and 1990s, and takes a sober look at big data and analytics. It does not present them as panaceas for all of the issues and decisions faced by higher education administrators, but sees them as part of solutions, although not without significant investments of time and money to achieve worthwhile benefits.
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spelling doaj.art-9b8e2e44a46c4223a611334f4f159fc52022-12-21T18:56:19ZengUniversidad Internacional de La Rioja (UNIR)International Journal of Interactive Multimedia and Artificial Intelligence1989-16601989-16602014-09-0127354310.9781/ijimai.2014.275Big Data and Learning Analytics in Blended Learning Environments: Benefits and ConcernsAnthony G. Picciano0Graduate Center and Hunter College, City University of New YorkThe purpose of this article is to examine big data and learning analytics in blended learning environments. It will examine the nature of these concepts, provide basic definitions, and identify the benefits and concerns that apply to their development and implementation. This article draws on concepts associated with data-driven decision making, which evolved in the 1980s and 1990s, and takes a sober look at big data and analytics. It does not present them as panaceas for all of the issues and decisions faced by higher education administrators, but sees them as part of solutions, although not without significant investments of time and money to achieve worthwhile benefits.http://www.ijimai.org/JOURNAL/sites/default/files/files/2014/09/ijimai20142_7_5_pdf_15146.pdfBig DataDecision-levelEducationLearningLearning AnalyticsPlanning
spellingShingle Anthony G. Picciano
Big Data and Learning Analytics in Blended Learning Environments: Benefits and Concerns
International Journal of Interactive Multimedia and Artificial Intelligence
Big Data
Decision-level
Education
Learning
Learning Analytics
Planning
title Big Data and Learning Analytics in Blended Learning Environments: Benefits and Concerns
title_full Big Data and Learning Analytics in Blended Learning Environments: Benefits and Concerns
title_fullStr Big Data and Learning Analytics in Blended Learning Environments: Benefits and Concerns
title_full_unstemmed Big Data and Learning Analytics in Blended Learning Environments: Benefits and Concerns
title_short Big Data and Learning Analytics in Blended Learning Environments: Benefits and Concerns
title_sort big data and learning analytics in blended learning environments benefits and concerns
topic Big Data
Decision-level
Education
Learning
Learning Analytics
Planning
url http://www.ijimai.org/JOURNAL/sites/default/files/files/2014/09/ijimai20142_7_5_pdf_15146.pdf
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