Microeconometric Approaches in Exploring the Relationships Between Early Alert Systems and Student Retention: A Case Study of a Regionally Based University in Australia

Title
Microeconometric Approaches in Exploring the Relationships Between Early Alert Systems and Student Retention: A Case Study of a Regionally Based University in Australia
Publication Date
2021-12-15
Author(s)
Harrison, Scott
Villano, Renato
( author )
OrcID: https://orcid.org/0000-0003-2581-6623
Email: rvillan2@une.edu.au
UNE Id une-id:rvillan2
Lynch, Grace
( author )
OrcID: https://orcid.org/0000-0003-1508-6815
Email: glynch4@une.edu.au
UNE Id une-id:glynch2
Chen, George
( author )
OrcID: https://orcid.org/0000-0002-8519-9340
Email: gchen2@une.edu.au
UNE Id une-id:gchen2
Type of document
Journal Article
Language
en
Entity Type
Publication
Publisher
University of Technology Sydney ePress (UTS ePress)
Place of publication
Australia
DOI
10.18608/jla.2021.7087
UNE publication id
une:1959.11/51641
Abstract

Early alert systems (EAS) are an important technological tool to help manage and improve student retention. Data spanning 16,091 students over 156 weeks was collected from a regionally based university in Australia to explore various microeconometric approaches that establish links between EAS and student retention outcomes. Controlling for numerous confounding variables, significant relationships between the EAS and student retention were identified. Capturing dynamic relationships between the explanatory variables and the hazard of discontinuing provides new insight into understanding student retention factors. We concluded that survival models are the best methods of understanding student retention when temporal data is available.

Link
Citation
Journal of Learning Analytics, 8(3), p. 170-186
ISSN
1929-7750
Start page
170
End page
186
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International

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