Mining Educational Data for Academic Accreditation: Aligning Assessment with Outcomes

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• 作者：Mohammed Hussain ; Mohamed Al-Mourad…
• 关键词：Big Data ; Higher education ; Learning analytics ; Educational data mining
• 刊名：Global Journal of Flexible Systems Management
• 出版年：2017
• 出版时间：March 2017
• 年：2017
• 卷：18
• 期：1
• 页码：51-60
• 全文大小：
• 刊物主题：Business and Management, general;
• 出版者：Springer India
• ISSN：0974-0198
• 卷排序：18

文摘

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.