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Cited by 21Science Education and PedagogyCareer Development and DiversityUndergraduate Neuroscience Education and Research

Students’ Experiences and Perceptions of the Scientific Research Culture after Participating in Different Course-Based Undergraduate Research Experience Models

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Dewey, Jessica, Evers, Alaina, Schuchardt, Anita·2022·CBE—Life Sciences Education
DOI 10.1187/cbe.21-10-0304PMC PMC9508916
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Abstract

This paper uses the Culture of Scientific Research (CSR) Framework to explore which cultural aspects of scientific research students reported experiencing after participating in a course-based undergraduate research experience (CURE). The impact of different CURE models (i.e., bench based vs. computational) on students’ experiences and perceptions was also investigated.

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  • Students value mentorship, hands-on practice, and structured support in research culture.

    “Dewey et al. (2022) explored students' perceptions of the research culture and documented the value students place on mentorship, hands-on practice, and structured support.”

    From Lowering Barriers to Undergraduate Research: Opportunities and Risks of Generative AI at Primarily Undergraduate Institutions (2026) · cites this paper as Dewey et al. (2022)

    The Results section, “Students’ Perceived Valuable Learning Experiences” (page unavailable), reports that students valued learning research practices, including planning and running investigations. The Introduction discusses mentorship, and “Implications for Course Design” recommends supports within the curriculum, but the cited passages do not establish that students themselves identified mentorship or structured support as things they valued. (LLM, conf=0.86)

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  1. Aikenhead, G. S. (1996). Science education: Border crossing into the subculture of science. Studies in Science Education, 27(1), 1– 52. https://doi.org/10.1080/03057269608560077 · DOI · Paper page
  2. Anzaldúa, G. (1987). Borderlands/La fontera: The new mestiza (1st ed.). San Fransisco, CA: Aunt Lute Books.
  3. Auchincloss, L. C. Laursen, S. L. Branchaw, J. L. Eagan, K. Graham, M. Hanauer, D. I.,... & Dolan, E. L. (2014). Assessment of course-based undergraduate research experiences: A meeting report. CBE—Life Sciences Education, 13(1), 29– 40. https://doi.org/10.1187/cbe.14-01-0004 24591501 PMC3940459 · DOI · Paper page
  4. Ballen, C. J. Blum, J. E. Brownell, S. Hebert, S. Hewlett, J. Klein, J. R.,... & Cotner, S. (2017). A call to develop course-based undergraduate research experiences (CUREs) for nonmajors courses. CBE—Life Sciences Education, 16(2), mr2. https://doi.org/10.1187/cbe.16-12-0352 28450449 PMC5459265 · DOI
  5. Ballen, C. J. Thompson, S. K. Blum, J. E. Newstrom, N. P. Cotner, S. (2018). Discovery and broad relevance may be insignificant components of course-based undergraduate research experiences (CUREs) for non-biology majors. Journal of Microbiology & Biology Education, 19(2). 19.2.63. https://doi.org/10.1128/jmbe.v19i2.1515 PMC5976029 29854065 · DOI
  6. Bangera, G. Brownell, S. E. (2014). Course-based undergraduate research experiences can make scientific research more inclusive. CBE—Life Sciences Education, 13(4), 602– 606. https://doi.org/10.1187/cbe.14-06 -0099 25452483 PMC4255347 · DOI
  7. Beckham, J. T. Simmons, S. L. Stovall, G. M. Farre, J. (2015). The Freshman Research Initiative as a model for addressing shortages and disparities in DTEM engagement. In Rubinstein, Y. A. Peterson, M. A. (Eds.), Directions for mathematics research experience for undergraduates. Hackensack, NJ: World Scientific.
  8. Brown, J. A. L. (2016). Evaluating the effectiveness of a practical inquiry-based learning bioinformatics module on undergraduate student engagement and applied skills. Biochemistry and Molecular Biology Education, 44(3), 304– 313. https://doi.org/10.1002/bmb.20954 27161812 · DOI
  9. Brownell, S. E. Kloser, M. J. (2015). Toward a conceptual framework for measuring the effectiveness of course-based undergraduate research experiences in undergraduate biology. Studies in Higher Education, 40(3), 525– 544. https://doi.org/10.1080/03075079.2015.1004234 · DOI
  10. Buck, L. B. Bretz, S. L. Towns, M. H. (2008). Characterizing the level of inquiry in the undergraduate laboratory. Journal of College Science Teaching, 38(1), 52– 58.
  11. Carlone, H. B. Johnson, A. (2012). Unpacking “culture” in cultural studies of science education: Cultural difference versus cultural production. Ethnography and Education, 7(2), 151– 173. https://doi.org/10.1080/17457823.2012.693691 · DOI
  12. Chelly Dagdia, Z. Avdeyev, P. Bayzid, Md. S. (2021). Biological computation and computational biology: Survey, challenges, and discussion. Artificial Intelligence Review, 54, 4169– 4235. https://doi.org/10.1007/s10462-020-09951-1 · DOI
  13. Clancy, K. B. H. Nelson, R. G. Rutherford, J. N. Hinde, K. (2014). Survey of Academic Field Experiences (SAFE): Trainees report harassment and assault. PLoS ONE, 9(7), e102172. https://doi.org/10.1371/journal.pone.0102172 25028932 PMC4100871 · DOI
  14. Cooper, K. M. Blattman, J. N. Hendrix, T. Brownell, S. E. (2019). The impact of broadly relevant novel discoveries on student project ownership in a traditional lab course turned CURE. CBE—Life Sciences Education, 18(4), ar57. https://doi.org/10.1187/cbe.19-06-0113 31675275 PMC6829067 · DOI
  15. Corwin, L. A. Runyon, C. Robinson, A. Dolan, E. L. (2015). The Laboratory Course Assessment Survey: A tool to measure three dimensions of research-course design. CBE—Life Sciences Education, 14(4), ar37. https://doi.org/10.1187/cbe.15-03-0073 26466990 PMC4710398 · DOI
  16. Creswell, J. W., & Poth, C. N. (2013). Qualitative inquiry & research design: Choosing among five approaches (3rd ed.). Los Angeles, CA: Sage.
  17. Dewey, J. Roehrig, G. Schuchardt, A. (2021). Development of a framework for the culture of scientific research. CBE—Life Sciences Education, 20(4), ar65. https://doi.org/10.1187/cbe.21-02-0029 34678042 PMC8715786 · DOI
  18. Dutt, K. (2020). Race and racism in the geosciences. Nature Geoscience, 13(1), 2– 3. https://doi.org/10.1038/s41561-019-0519-z · DOI
  19. Eraslan, G. Avsec, Ž. Gagneur, J. Theis, F. J. (2019). Deep learning: New computational modelling techniques for genomics. Nature Reviews Genetics, 20(7), 389– 403. https://doi.org/10.1038/s41576-019-0122-6 30971806 · DOI
  20. Finn, R. H. (1970). A Note on estimating the reliability of categorical data. Educational and Psychological Measurement, 30(1), 71– 76. https://doi.org/10.1177/001316447003000106 · DOI
  21. Gin, L. E. Rowland, A. A. Steinwand, B. Bruno, J. Corwin, L. A. (2018). Students who fail to achieve predefined research goals may still experience many positive outcomes as a result of CURE participation. CBE—Life Sciences Education, 17(4), ar57. https://doi.org/10.1187/cbe.18-03-0036 30417757 PMC6755884 · DOI
  22. Goodwin, E. C. Anokhin, V. Gray, M. J. Zajic, D. E. Podrabsky, J. E. Shortlidge, E. E. (2021). Is this science? Students’ experiences of failure make a research-based course feel authentic. CBE—Life Sciences Education, 20(1), ar10. https://doi.org/10.1187/cbe.20-07-0149 33600220 PMC8108493 · DOI
  23. Henry, M. A. Shorter, S. Charkoudian, L. Heemstra, J. M. Corwin, L. A. (2019). FAIL is not a four-letter word: A theoretical framework for exploring undergraduate students’ approaches to academic challenge and responses to failure in STEM learning environments. CBE—Life Sciences Education, 18(1), ar11. https://doi.org/10.1187/cbe.18-06 -0108 30821602 PMC6757216 · DOI
  24. Kawecki, T. J. Lenski, R. E. Ebert, D. Hollis, B. Olivieri, I. Whitlock, M. C. (2012). Experimental evolution. Trends in Ecology & Evolution, 27(10), 547– 560. https://doi.org/10.1016/j.tree.2012.06.001 22819306 · DOI · Paper page
  25. Kirkpatrick, C. Schuchardt, A. Baltz, D. Cotner, S. (2019). Computer-based and bench-based undergraduate research experiences produce similar attitudinal outcomes. CBE—Life Sciences Education, 18(1), ar10. https://doi.org/10.1187/cbe.18-07-0112 30821601 PMC6757217 · DOI
  26. Kloser, M. J. Brownell, S. E. Shavelson, R. J. Fukami, T. (2013). Research and teaching. Effects of a research-based ecology lab course: A study of nonvolunteer achievement, self-confidence, and perception of lab course purpose. Journal of College Science Teaching, 42(3), 72– 81.
  27. Lo, S. M. Le, B. D. (2021). Student outcomes from a large-enrollment introductory course-based undergraduate research experience on soil microbiomes. Frontiers in Microbiology, 12, 2155. https://doi.org/10.3389/fmicb.2021.589487 PMC8353364 34385980 · DOI
  28. Lunetta, V. N. Hofstein, A. Clough, M. P. (2007). Learning and teaching in the school science laboratory: An analysis of research, theory and practice. In Abell, S. Lederman, N. (Eds.), Handbook of research on science education (pp. 393– 441). Mahwah, NJ: Lawrence Erlbaum.
  29. Olimpo, J. T. Fisher, G. R. DeChenne-Peters, S. E. (2016). Development and evaluation of the Tigriopus course-based undergraduate research experience: Impacts on students’ content knowledge, attitudes, and motivation in a majors introductory biology course. CBE—Life Sciences Education, 15(4), ar72. https://doi.org/10.1187/cbe.15-11-0228 27909022 PMC5132369 · DOI · Paper page
  30. Phelan, P. Davidson, A. L. Cao, H. T. (1991). Students’ multiple worlds: Negotiating the boundaries of family, peer, and school cultures. Anthropology & Education Quarterly, 22(3), 224– 250. https://doi.org/10.1525/aeq.1991.22.3.05x1051k · DOI · Paper page
  31. Reinholz, D. L. Matz, R. L. Cole, R. Apkarian, N. (2019). STEM is not a monolith: A preliminary analysis of variations in STEM disciplinary cultures and implications for change. CBE—Life Sciences Education, 18(4), mr4. https://doi.org/10.1187/cbe.19-02-0038 31702951 PMC8727057 · DOI
  32. Sarmah, S. Chism, G. W. Vaughan, M. A. Muralidharan, P. Marrs, J. A. Marrs, K. A. (2016). Using zebrafish to implement a course-based undergraduate research experience to study teratogenesis in two biology laboratory courses. Zebrafish, 13(4), 293– 304. https://doi.org/10.1089/zeb.2015.1107 26829498 PMC5911693 · DOI
  33. Seymour, E. Hewitt, N. M. (1997). Talking about leaving: Why undergraduates leave the sciences. Boulder, CO: Westview Press.
  34. Shaffer, C. D. Alvarez, C. Bailey, C. Barnard, D. Bhalla, S. Chandrasekaran, C.,... & Elgin, S. C. R. (2010). The Genomics Education Partnership: Successful integration of research into laboratory classes at a diverse group of undergraduate institutions. CBE—Life Sciences Education, 9(1), 55– 69. https://doi.org/10.1187/09-11-0087 20194808 PMC2830162 · DOI · Paper page
  35. Shanle, E. K. Tsun, I. K. Strahl, B. D. (2016). A course-based undergraduate research experience investigating p300 bromodomain mutations. Biochemistry and Molecular Biology Education, 44(1), 68– 74. https://doi.org/10.1002/bmb.20927 26537758 PMC4982466 · DOI
  36. Surzycki, S. (2012). Basic techniques in molecular biology. Heidelberg, Germany: Springer Science & Business Media.
  37. Taras, V. Rowney, J. Steel, P. (2009). Half a century of measuring culture: Review of approaches, challenges, and limitations based on the analysis of 121 instruments for quantifying culture. Journal of International Management, 15(4), 357– 373. https://doi.org/10.1016/j.intman.2008.08.005 · DOI
  38. Thiry, H. Laursen, S. L. (2011). The role of student-advisor interactions in apprenticing undergraduate researchers into a scientific community of practice. Journal of Science Education and Technology, 20(6), 771– 784. https://doi.org/10.1007/s10956-010-9271-2 · DOI
  39. Thoman, D. B. Muragishi, G. A. Smith, J. L. (2017). Research microcultures as socialization contexts for underrepresented science students. Psychological Science, 28(6), 760– 773. https://doi.org/10.1177/ 0956797617694865 28459648 PMC5461186
  40. Thompson, S. K. Neill, C. J. Wiederhoeft, E. Cotner, S. (2016). A model for a course-based undergraduate research experience (CURE) in a field setting. Journal of Microbiology & Biology Education, 17(3), 469– 471. https://doi.org/10.1128/jmbe.v17i3.1142 28101276 PMC5134953 · DOI
  41. Turner, D. (2010). Qualitative interview design: A practical guide for novice investigators. The Qualitative Report, 15(3), 754– 760.

Cited by

Sorted by citations

Authors
Dewey, J., Evers, A., & Schuchardt, A.
Affiliations
  • Syracuse University (US)
  • University of Minnesota (US)
Corresponding author
Dewey, Jessica
ORCID
Venue
CBE—Life Sciences Education
Publisher
American Society for Cell Biology (ASCB)
Published
2022-06
Volume
21
Issue
2
Pages
ar36-ar36
ISSN
1931-7913 (ISSN-L)
DOI
10.1187/cbe.21-10-0304
PMC
PMC9508916
OpenAlex
W4280510511
Cited by
21
References
4
Citations by year
2026: 4 · 2025: 5 · 2024: 7 · 2023: 5
FWCI
6.97
Type
journal article
Language
en
Open access
Licence
cc-by-nc-sa
Locations
  • CBE—Life Sciences Education (publishedVersion, cc-by-nc-sa)
  • PubMed Central (publishedVersion, cc-by-nc-sa)
  • PubMed (publishedVersion)
Topics
  • Social Sciences › Education › Science Education and Pedagogy
  • Social Sciences › Safety Research › Career Development and Diversity
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Undergraduate Neuroscience Education and Research
Keywords
course-based undergraduate research experiences, student perceptions, computational research, research mentorship, teamwork, undergraduate science education
MeSH terms
Computers, Curriculum, Humans, Motivation, Students

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