https://hdl.handle.net/1959.11/51641
Title: | Microeconometric Approaches in Exploring the Relationships Between Early Alert Systems and Student Retention: A Case Study of a Regionally Based University in Australia |
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Contributor(s): | Harrison, Scott (author); Villano, Renato (author)![]() ![]() ![]() |
Publication Date: | 2021-12-15 |
Open Access: | Yes |
DOI: | 10.18608/jla.2021.7087![]() |
Handle Link: | https://hdl.handle.net/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. |
Publication Type: | Journal Article |
Source of Publication: | Journal of Learning Analytics, 8(3), p. 170-186 |
Publisher: | University of Technology Sydney ePress (UTS ePress) |
Place of Publication: | Australia |
ISSN: | 1929-7750 |
Fields of Research (FoR) 2020: | 380104 Economics of education |
Socio-Economic Objective (SEO) 2020: | 160199 Learner and learning not elsewhere classified 160204 Management, resources and leadership |
Peer Reviewed: | Yes |
HERDC Category Description: | C1 Refereed Article in a Scholarly Journal |
Appears in Collections: | Journal Article School of Humanities, Arts and Social Sciences UNE Business School |
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