Title

Collect, scope, and verify big data - A framework for institution accreditation

Document Type

Conference Proceeding

Source of Publication

Proceedings - IEEE 30th International Conference on Advanced Information Networking and Applications Workshops, WAINA 2016

Publication Date

5-17-2016

Abstract

© 2016 IEEE. Institutions in higher education generate terabytesof data that has great value to shape future of nations. This Big Data is in heterogeneous formats, very current, and in large volumes. We propose a framework to collect, scope and verify this large amount of data. Although the framework is explained in the context of institution accreditation in higher education, the framework can be applied in the fields of health-care, finance, marketing etc. Our framework is used to reduce human involvement in the collection and analysis of data, for the purpose of accreditation. The framework extends the scope of data collected to target the heterogeneous nature of the data. Finally, our framework helps to verify the data against a standard set by an accreditation body.

ISBN

9781509018574

Publisher

Institute of Electrical and Electronics Engineers Inc.

First Page

187

Last Page

192

Disciplines

Computer Sciences

Keywords

Big Data, Higher Education, Learning Analytics

Scopus ID

84983486413

Indexed in Scopus

yes

Open Access

no

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