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Lecture absenteeism among students in higher education: a valuable route to understanding student motivation
Abstract
The reasons associated with lecture absenteeism among student groups could shed significant light on student motivation levels and orientations in university settings. Paying attention to the rationales for lecture absence provided by students themselves could also help institutions to diagnose levels of student engagement and respond in appropriate ways. This study demonstrates these assertions by engaging in a critical analysis of the evidence linking lecture attendance and academic performance, using a qualitative analysis of student accounts of their absenteeism. It argues that innovative approaches to higher education would benefit from the extension and development of this kind of inquiry.
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Cited by
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McGarr, O. (2009) · Australasian Journal of Educational Technology · doi:10.14742/ajet.1136 · Cited by 419
College students with ADHD and LD: effects of support services on academic performance
DuPaul, G. J., Dahlstrom-Hakki, I., Gormley, M. J., Fu, Q., Pinho, T. D., & Banerjee, M. (2017) · Learning Disabilities Research & Practice · doi:10.1111/ldrp.12143 · Cited by 75
Iannone, P., Czichowsky, C., & Ruf, J. (2020) · Educational Studies in Mathematics · doi:10.1007/s10649-020-09937-4 · Cited by 42
Metadata
- Authors
- Moore, S., Armstrong, C., & Pearson, J.
- Venue
- Journal of Higher Education Policy and Management
- Publisher
- Informa UK Limited
- Published
- 2008-02
- Volume
- 30
- Issue
- 1
- Pages
- 15-24
- ISSN
- 1360-080X (ISSN-L)
- 1469-9508
- OpenAlex
- W2122035364
- Cited by
- 188
- References
- 0
- FWCI
- 32.91
- Type
- journal article
- Language
- en
- Open access
- closed
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- Moore, S., Armstrong, C., & Pearson, J. (2008). Lecture absenteeism among students in higher education: a valuable route to understanding student motivation. Journal of Higher Education Policy and Management. https://doi.org/10.1080/13600800701457848
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.