Evidence map›Paper›PMID 39976437›Full record

ArticleJournal of microbiology & biology education2025

A CURE lab in an introductory biology course has minimal impact on student outcomes, self-confidence, and preferences compared to a traditional lab.

Andrew F Mashintonio, Richard H Heineman

Abstract read
In one paragraph

Article in Journal of microbiology & biology education, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Andrew F MashintonioDepartment of Biological Sciences, Kutztown University, Kutztown, Pennsylvania, USA.ORCID 0000-0002-3275-6385
Richard H HeinemanDepartment of Biological Sciences, Kutztown University, Kutztown, Pennsylvania, USA.ORCID 0000-0003-4756-1086

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Course-based undergraduate research experiences (CUREs) have grown in popularity, particularly within introductory biology courses, to provide more students with authentic research experiences. CUREs have been shown to have many of the same positive effects as conventional research experiences; however, most assessments of CUREs lack an appropriate comparison group to evaluate their effectiveness. Here, we introduced a CURE into an introductory biology lab at a regional public university but maintained a traditional, "cookie-cutter" lab in half the lab sections over a 3-year period. We compared changes in test scores and survey responses, final lab and lecture scores, and D, F, withdrawal, and incomplete (DFWI) and retention rates between non-honors biology students in each group. While both groups showed significant improvement in test scores, only transfer students had significantly greater improvement in the CURE vs traditional lab. Students in both groups showed significant increases in self-confidence in some lab-related tasks, but differences in these changes were generally not significant between groups. There were no significant differences in final lecture score, lab score, DFWI rate, or retention rate. Factors affecting the lack of measured CURE success may include the type of CURE chosen, student career interests, and COVID-19; other positive impacts of the CURE may not have been captured by our measurements. This study demonstrates the importance of carefully choosing a CURE to match the student population, as well as assessing the CURE's impact against a comparison group.

Indexed as

antibiotic resistanceauthentic research experienceCURE assessmentmicrobiologypedagogyretentiontransfer student

Identifiers

PMID39976437
PMCPMC12020816

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.