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Performance in e‐learning: online participation and student grades
Abstract
The beneficial effects of learners interacting in online programmes have been widely reported. Indeed, online discussion is argued to promote student‐centred learning. It is therefore reasonable to suggest that the benefits of online discussion should translate into improved student performance. The current study examined the frequency of online interaction of 122 undergraduates and compared this with their grades at the end of the year. The findings revealed that greater online interaction did not lead to significantly higher performance for students achieving passing grades; however, students who failed in their courses tended to interact less frequently. Other factors that may be salient in online interactions are discussed.
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Citations
Cited by
Student participation in the college classroom: an extended multidisciplinary literature review
Rocca, K. A. (2010) · Communication Education · doi:10.1080/03634520903505936 · Cited by 526
Bond, M., Zawacki‐Richter, O., & Nichols, M. (2019) · British Journal of Educational Technology · doi:10.1111/bjet.12730 · Cited by 243
Shih, M., Feng, J., & Tsai, C.-C. (2008) · Computers & Education · doi:10.1016/j.compedu.2007.10.004 · Cited by 202
Poondej, C., & Lerdpornkulrat, T. (2019) · Interactive Technology and Smart Education · doi:10.1108/itse-06-2019-0030 · Cited by 116
How does the smartphone usage of college students affect academic performance?
Han, S., & Yi, Y. J. (2019) · Journal of Computer Assisted Learning · doi:10.1111/jcal.12306 · Cited by 114
Metadata
- Authors
- Davies, J., & Graff, M.
- Venue
- British Journal of Educational Technology
- Publisher
- Wiley
- Published
- 2005-07
- Volume
- 36
- Issue
- 4
- Pages
- 657-663
- ISSN
- 0007-1013 (ISSN-L)
- 1467-8535
- OpenAlex
- W2129977736
- Cited by
- 525
- References
- 0
- FWCI
- 65.19
- Type
- journal article
- Language
- en
- Open access
- closed
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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.