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Erschienen in: Global Journal of Flexible Systems Management 1/2017

01.09.2016 | Original Article

Mining Educational Data for Academic Accreditation: Aligning Assessment with Outcomes

verfasst von: Mohammed Hussain, Mohamed Al-Mourad, Sujith Mathew, Abdullah Hussein

Erschienen in: Global Journal of Flexible Systems Management | Ausgabe 1/2017

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Abstract

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.

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Metadaten
Titel
Mining Educational Data for Academic Accreditation: Aligning Assessment with Outcomes
verfasst von
Mohammed Hussain
Mohamed Al-Mourad
Sujith Mathew
Abdullah Hussein
Publikationsdatum
01.09.2016
Verlag
Springer India
Erschienen in
Global Journal of Flexible Systems Management / Ausgabe 1/2017
Print ISSN: 0972-2696
Elektronische ISSN: 0974-0198
DOI
https://doi.org/10.1007/s40171-016-0143-3

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