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Article
Mining Educational Data for Academic Accreditation: Aligning Assessment with Outcomes
Global Journal of Flexible Systems Management
  • Mohammed Hussain, Zayed University
  • Mohamed Al-Mourad, Zayed University
  • Sujith Mathew, Zayed University
  • Abdullah Hussein, University of Sharjah
Document Type
Article
Publication Date
3-1-2017
Abstract

© 2016, Global Institute of Flexible Systems Management. Institutions in higher education generate terabytes of 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. The analysis of the data is used to evaluate the institution against a standard set by an accreditation body, for the purpose of the academic accreditation of higher education programs. Therefore, the framework reduces human involvement in accreditation. The paper provides the detailed design of the process of aligning assessment with student learning outcomes.

Publisher
Global Institute of Flexible Systems Management
Disciplines
Keywords
  • Big Data,
  • Educational data mining,
  • Higher education,
  • Learning analytics
Scopus ID
85011562555
Indexed in Scopus
Yes
Open Access
No
https://doi.org/10.1007/s40171-016-0143-3
Citation Information
Mohammed Hussain, Mohamed Al-Mourad, Sujith Mathew and Abdullah Hussein. "Mining Educational Data for Academic Accreditation: Aligning Assessment with Outcomes" Global Journal of Flexible Systems Management Vol. 18 Iss. 1 (2017) p. 51 - 60 ISSN: <a href="https://v2.sherpa.ac.uk/id/publication/issn/0972-2696" target="_blank">0972-2696</a>
Available at: http://works.bepress.com/sujith-mathew/19/