Analytics within UAE higher education context

Adam Marks, Zayed University
Maytha Al-Ali, Zayed University

Document Type

Conference Proceeding

Source of Publication

2016 3rd MEC International Conference on Big Data and Smart City, ICBDSC 2016

Publication Date

4-26-2016

Abstract

© 2016 IEEE. This paper presents the major findings from a study conducted with four different universities in the U.A.E regarding their use of the learning analytics (LA) capabilities available within their learning management systems (LMS). Data was collected from an online survey instrument, in-depth interviews with IT directors and academic administrators, and a case study in Zayed University. The study reveals that while the examined universities seem to recognize and appreciate the new analytics functions available within learning management systems, they seem to struggle with forming a consistent and effective approach to link those functions to improve the decision-making process. Most popular analytics functions include analytics concerned with curriculum coverage, goal performance, student performance, and early alert systems at the course and degree program levels.

ISBN

9781509013654

Publisher

Institute of Electrical and Electronics Engineers Inc.

First Page

368

Last Page

373

Disciplines

Education

Keywords

Learning Analytics, Learning Management Systems

Scopus ID

84973532402

Indexed in Scopus

yes

Open Access

no

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