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The Effect of Active Learning Methods on Student Retention in Engineering Statistics
Abstract
An experiment was carried out to investigate the long-term effects of active learning methods on student retention in an introductory engineering statistics class. Two classes of students participated in the study—one class was taught using traditional lecture-based learning, and the other class stressed group projects and cooperative learning-based methods. Retention was measured by examining the students immediately after the course finished, and then again eight months later. The findings suggest that active learning can help to increase retention for students with average or below average scores. Graphical displays of the data, along with standard statistical analyses, help explain the observed difference in retention between students in the two different learning environments.
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Levels of processing: A framework for memory research
Craik, F. I. M., & Lockhart, R. S. (1972) · Journal of Verbal Learning and Verbal Behavior · doi:10.1016/s0022-5371(72)80001-x · Cited by 9,566
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Hartikainen, S., Rintala, H., Pylväs, L., & Nokelainen, P. (2019) · Education Sciences · doi:10.3390/educsci9040276 · Cited by 299
ASPECT: A Survey to Assess Student Perspective of Engagement in an Active-Learning Classroom
Wiggins, B. L., Eddy, S. L., Wener-Fligner, L., Freisem, K., Grunspan, D. Z., Theobald, E. J., Timbrook, J., & Crowe, A. J. (2017) · CBE—Life Sciences Education · doi:10.1187/cbe.16-08-0244 · Cited by 125
Shroff, R. H., Ting, F. S. T., & Lam, W. H. (2019) · Australasian Journal of Educational Technology · doi:10.14742/ajet.4472 · Cited by 43
Wellberg, S. (2025) · Journal of Mathematics Teacher Education · doi:10.1007/s10857-024-09640-8 · Cited by 10
Metadata
- Authors
- Kvam, P. H.
- Venue
- The American Statistician
- Publisher
- Informa UK Limited
- Published
- 2000-05
- Volume
- 54
- Issue
- 2
- Pages
- 136-140
- ISSN
- 0003-1305 (ISSN-L)
- 1537-2731
- OpenAlex
- W2004663102
- Cited by
- 161
- References
- 1
- FWCI
- 1.50
- 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.