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The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

The Effect of Active Learning Methods on Student Retention in Engineering Statistics

Kvam, Paul H.·2000·The American Statistician

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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Metadata

Authors
Kvam, P. H.
Venue
The American Statistician
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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CoChat. (2026). Citation check: The Effect of Active Learning Methods on Student Retention in Engineering Statistics. https://app.cochat.ai/papers/10.1080/00031305.2000.10474526
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Kvam, P. H. (2000). The Effect of Active Learning Methods on Student Retention in Engineering Statistics. The American Statistician. https://doi.org/10.1080/00031305.2000.10474526

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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.