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Mind the Gap: From Analytics to Action in Student Retention

Mind the Gap: From Analytics to Action in Student Retention

Qing Huang, Nilupulee Nathawitharana, Kok-Leong Ong, Susan Keller, Damminda Alahakoon
Copyright: © 2019 |Pages: 19
ISBN13: 9781522557180|ISBN10: 1522557180|ISBN13 Softcover: 9781522588450|EISBN13: 9781522557197
DOI: 10.4018/978-1-5225-5718-0.ch012
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MLA

Huang, Qing, et al. "Mind the Gap: From Analytics to Action in Student Retention." Applying Business Intelligence Initiatives in Healthcare and Organizational Settings, edited by Shah J. Miah and William Yeoh, IGI Global, 2019, pp. 218-236. https://doi.org/10.4018/978-1-5225-5718-0.ch012

APA

Huang, Q., Nathawitharana, N., Ong, K., Keller, S., & Alahakoon, D. (2019). Mind the Gap: From Analytics to Action in Student Retention. In S. Miah & W. Yeoh (Eds.), Applying Business Intelligence Initiatives in Healthcare and Organizational Settings (pp. 218-236). IGI Global. https://doi.org/10.4018/978-1-5225-5718-0.ch012

Chicago

Huang, Qing, et al. "Mind the Gap: From Analytics to Action in Student Retention." In Applying Business Intelligence Initiatives in Healthcare and Organizational Settings, edited by Shah J. Miah and William Yeoh, 218-236. Hershey, PA: IGI Global, 2019. https://doi.org/10.4018/978-1-5225-5718-0.ch012

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Abstract

The issue of student attrition is a complex one and has been an area of research interest among education researchers. Recently, education researchers are proposing to tap into the large amount of student data that are housed within the institution's data warehouse. This big student data of demography, learning journey, and their interactions with the institution presents a rich source of insights that can be discovered using advanced analytics. Consequently, education researchers have put forward predictive models, suggest the use of data triggers and dashboards aimed at improving student retention. This however has been met with limited success to date. From experience, there remains a gap between the analytics and the operationalization of the analytics. Consequently, this gap needs to be addressed to achieve student retention. The authors propose a dual framework to close this gap. While this framework was developed in the context of creating a solution for student attrition, it is sufficiently generalizable to analytical solutions for problems around student learning.

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