Cited by 106Science Education and PedagogyInnovative Teaching MethodsEvaluation of Teaching Practices

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The Problem of Revealing How Students Think: Concept Inventories and Beyond

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Smith, Julia I., Tanner, Kimberly·2010·CBE—Life Sciences Education

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Crossref · 10.1187/cbe.09-12-0094

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  • Concept inventories are validated tools that can provide key insight into student learning on a concept or a related set of concepts.

    “concept inventories are validated tools that can provide key insight into student learning on a concept or a related set of concepts (Evans et al., 2003; Smith and Tanner, 2010; Sands et al., 2018)”

    From Reading Primary Scientific Literature: Approaches for Teaching Students in the Undergraduate STEM Classroom (2023) · cites this paper as Smith and Tanner, 2010

    In “The Promise of Concept Inventories” (page unavailable), the paper says inventories probe understanding of core concepts and can give instructors some insight into students’ content knowledge. But it does not establish that concept inventories generally are validated tools; in “Thinking Critically About Concept Inventories” (page unavailable), it cautions that their usual format yields little specific insight into student thinking or deep conceptual understanding. (LLM, conf=0.87)

    Experimental — accuracy not yet measured

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References 49 · Cited by 106

Research works printed but not linked: 36

  1. 10.1187/cbe.07-03-0017 · DOI
  2. Anderson D. L., 2002, J. Res. Sci. Teach, 39, 952, 10.1002/tea.10053 · DOI
  3. Angelo T. A., 1993, Classroom Assessment Techniques: A Handbook for College Teachers
  4. Atkin J. M., 2001, Assessment and the National Science Education Standards
  5. Bao L., 2001, Phys. Educ. Res. Am. J. Phys, 69, S45
  6. Bao L., 2006, Phys. Rev. Spec. Top. Phys. Educ. Res, 2
  7. Black P., 2003, Everyday Assessment in the Science Classroom, 1
  8. Black P., 1998, Phi Delta Kappan, 80, 139
  9. Bloom B. S., 1956, Taxonomy of Educational Objectives: Classification of Educational Goals, Handbook I: Cognitive Domain
  10. Bowling B. V., 2008, Genetics, 178, 15, 10.1534/genetics.107.079533 · DOI
  11. Bowling B. V., 2008, Bioscience, 58, 654, 10.1641/B580712 · DOI
  12. Chi M.T.H., 2006, The Cambridge Handbook of Expertise and Expert Performance, 167, 10.1017/CBO9780511816796.010 · DOI
  13. Chi M.T.H., 1981, Cogn. Sci, 5, 121, 10.1207/s15516709cog0502_2 · DOI · Paper page
  14. D'Avanzo C., 2008, Bioscience, 58, 1079, 10.1641/B581111 · DOI
  15. 10.1187/cbe.07-05-0031 · DOI
  16. Hake R. R., 1998, Am. J. Phys, 66, 64, 10.1119/1.18809 · DOI · Paper page
  17. Heller P., 1995, Phys. Teach, 33, 503, 10.1119/1.2344279 · DOI
  18. Hestenes D., 1995, Phys. Teach, 33, 502, 10.1119/1.2344278 · DOI
  19. Huba M. E., 2000, Learner-Centered Assessment on College Campuses
  20. Huffman D., 1995, Teach, 33, 138, 10.1119/1.2344171 · DOI
  21. 10.1187/cbe.03-10-0014 · DOI
  22. 10.1187/cbe.03-03-0014 · DOI
  23. Mazur E., 1997, Peer Instruction: A User's Manual
  24. Michael J., 2007, Adv. Physiol. Educ, 31, 389, 10.1152/advan.00047.2007 · DOI
  25. Michael J., 2008, Adv. Physiol. Educ, 32, 248, 10.1152/advan.90122.2008 · DOI
  26. Redish E. F., 2000, J. Appl. Dev. Psychol, 21, 85, 10.1016/S0193-3973(99)00052-0 · DOI
  27. 10.1187/cbe.08-08-0045 · DOI
  28. Smith M. U., 1984, J. Res. Sci. Teach, 21, 895, 10.1002/tea.3660210905 · DOI
  29. 10.1187/cbe.02-03-0007 · DOI
  30. Tamir P., 1971, J. Biol. Educ, 5, 305, 10.1080/00219266.1971.9653728 · DOI
  31. 10.1187/cbe.04-03-0037 · DOI
  32. Thornton R. K., 1998, Am. J. Phys, 66, 338, 10.1119/1.18863 · DOI
  33. Treagust D. F., 1988, Int. J. Sci. Educ, 10, 159, 10.1080/0950069880100204 · DOI · Paper page
  34. 10.1187/cbe.06-02-0142 · DOI
  35. Wright J. C., 1998, J. Chem. Educ, 75, 986, 10.1021/ed075p986 · DOI
  36. 10.1187/cbe.05-04-0075 · DOI

Metadata

Authors
Smith, J. I., & Tanner, K.
Affiliations
  • Holy Names University (US)
  • San Francisco State University (US)
Corresponding author
Tanner, Kimberly
Venue
CBE—Life Sciences Education
Published
2010-03
Volume
9
Issue
1
Pages
1-5
ISSN
1931-7913 (ISSN-L)
OpenAlex
W2130840571
Cited by
106
References
49
Citations by year
2026: 2 · 2025: 5 · 2024: 6 · 2023: 6 · 2022: 9 · 2021: 8 · 2020: 9 · 2019: 6 · 2018: 8 · 2017: 7 · 2016: 7 · 2015: 5 · 2014: 5 · 2013: 7 · 2012: 4
FWCI
33.23
Type
journal article
Language
en
Open access
Locations
  • CBE—Life Sciences Education (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Social Sciences › Education › Science Education and Pedagogy
  • Social Sciences › Education › Innovative Teaching Methods
  • Social Sciences › Education › Evaluation of Teaching Practices
Keywords
concept inventory, student misconceptions, student understanding assessment, conceptual change, biology education, student thinking
MeSH terms
Biology, Chemistry, Concept Formation, Education, Professional, Interviews as Topic, Physics, Students, Thinking, Problem-Based Learning

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