Has the open door become a revolving door? The impact on attrition of moving from elite to mass higher education
Bibliographic Data
| ID | 5031730 |
|---|---|
| Authors | David Kember (0000-0002-1134-3741, University of Tasmania, corresponding author), Doris Y P Leung (0000-0003-0138-8839, Hong Kong Polytechnic University), Doris Leung (School of Nursing, The Hong Kong Polytechnic University, Kowloon, Hong Kong), Michael Prosser (0000-0002-4974-7776, The University of Melbourne) |
| Year | 2021 |
| Volume | 46 |
| Issue | 2 |
| Pages | 258-269 |
| Publication date | 2021-02-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Studies in Higher Education (JOURNAL) |
| Journal identifiers | ISSN: 0307-5079 • E-ISSN: 1470-174X |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/03075079.2019.1629411 |
| OpenAlex | W2953061474 |
| Language | EN |
| Citations received | 9 |
| References cited | 32 |
As higher education has made the transition from elite to mass enrolments, the student body has become more diverse and online and blended learning have become more common. This study aimed to examine the impacts on attrition of admitting a more diverse student body with the shift towards online and blended learning. A hypothesised path model of attrition was tested with structural equation modelling. The model contained four presage variables related to the changed demographic of the student body and alternative modes of study; attendance mode, admission basis, remoteness and socio-economics status. There were two intervening variables; age and year of study. The two outcome variables were dropout and GPA value. The model was tested against a large sample of data from a student record system of a regional Australian university. The model showed a good fit to the data predicting that the expansion of higher education, along with the increasing use of online and blended learning, will impact on attrition
Attendance · Attrition · Blended Learning · Distance education · Economic growth · Economics · Educational technology · Elite · Higher education · Mathematics education · Political science · Statistics · Structural equation modeling · Computer Science · Higher Education Research Studies · Mathematics · Medicine · Online and Blended Learning · Online Learning and Analytics · Psychology
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| Unique citing works | 9 |
|---|---|
| Citations per year | 1,8 |
| Citation span | 2021 - 2026 (6) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 8 |