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Teaching the Process of Science: Faculty Perceptions and an Effective Methodology
Open accessAbstract
Most scientific endeavors require science process skills such as data interpretation, problem solving, experimental design, scientific writing, oral communication, collaborative work, and critical analysis of primary literature. These are the fundamental skills upon which the conceptual framework of scientific expertise is built. Unfortunately, most college science departments lack a formalized curriculum for teaching undergraduates science process skills. However, evidence strongly suggests that explicitly teaching undergraduates skills early in their education may enhance their understanding of science content. Our research reveals that faculty overwhelming support teaching undergraduates science process skills but typically do not spend enough time teaching skills due to the perceived need to cover content. To encourage faculty to address this issue, we provide our pedagogical philosophies, methods, and materials for teaching science process skills to freshman pursuing life science majors. We build upon previous work, showing student learning gains in both reading primary literature and scientific writing, and share student perspectives about a course where teaching the process of science, not content, was the focus. We recommend a wider implementation of courses that teach undergraduates science process skills early in their studies with the goals of improving student success and retention in the sciences and enhancing general science literacy.
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“Similarly, instructors of science, technology, engineering, and math (STEM) courses report that science process skills associated with the reading of PSL, such as the interpretation of graphs and tables, are among the most important skills for undergraduate students to acquire (Coil et al., 2010).”
From Reading Primary Scientific Literature: Approaches for Teaching Students in the Undergraduate STEM Classroom (2023) · cites this paper as Coil et al., 2010
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“Faculty members are assumed to be ‘experts’ possessing both good content knowledge and science processing skills [18].”
From Perceptions of scientific research literature and strategies for reading papers depend on academic career stage (2017) · cites this paper as [18]
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Metadata
- Authors
- Coil, D., Wenderoth, M. P., Cunningham, M., & Dirks, C.
- Affiliations
- University of Washington (US)
- Corresponding author
- Dirks, Clarissa
- Venue
- CBE—Life Sciences Education
- Published
- 2010-12
- Volume
- 9
- Issue
- 4
- Pages
- 524-535
- ISSN
- 1931-7913 (ISSN-L)
- PMC
- PMC2995770
- OpenAlex
- W2115994980
- Cited by
- 282
- References
- 48
- Citations by year
- 2026: 8 · 2025: 21 · 2024: 18 · 2023: 24 · 2022: 23 · 2021: 20 · 2020: 30 · 2019: 10 · 2018: 22 · 2017: 19 · 2016: 19 · 2015: 20 · 2014: 15 · 2013: 16 · 2012: 11
- FWCI
- 49.43
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- cc-by-nc-sa
- Locations
- CBE—Life Sciences Education (publishedVersion)
- PubMed Central (publishedVersion, cc-by-nc-sa)
- PubMed (publishedVersion)
- Funders
- Howard Hughes Medical Institute (52003841)
- University of Washington
- Directorate for Biological Sciences
- Topics
- Social Sciences › Education › Science Education and Pedagogy
- Social Sciences › Education › Innovative Teaching Methods
- Social Sciences › Education › Educational Methods and Outcomes
- Keywords
- scientific method, science process skills, undergraduate science education, teacher perceptions, scientific writing, experimental design, data interpretation, problem solving, scientific literacy, teaching methods
- MeSH terms
- Curriculum, Faculty, Science, Students, Teaching, Universities
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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