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Autor/inn/enHarrison, Scott; Villano, Renato; Lynch, Grace; Chen, George
TitelMicroeconometric Approaches in Exploring the Relationships between Early Alert Systems and Student Retention: A Case Study of a Regionally Based University in Australia
QuelleIn: Journal of Learning Analytics, 8 (2021) 3, S.170-186 (20 Seiten)Infoseite zur Zeitschrift
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ZusatzinformationORCID (Harrison, Scott)
ORCID (Villano, Renato)
ORCID (Lynch, Grace)
ORCID (Chen, George)
Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN1929-7750
SchlagwörterLearning Analytics; School Holding Power; Integrated Learning Systems; Microeconomics; Universities; Geographic Regions; Academic Persistence; Correlation; Foreign Countries; Student Characteristics; Age Differences; Gender Differences; Academic Achievement; Grades (Scholastic); College Students; Australia
AbstractEarly 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. (As Provided).
AnmerkungenSociety for Learning Analytics Research. 121 Pointe Marsan, Beaumont, AB T4X 0A2, Canada. Tel: +61-429-920-838; e-mail: info@solaresearch.org; Web site: https://learning-analytics.info/index.php/JLA/index
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2024/1/01
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