Cited by 382Teaching and Learning ProgrammingMathematics Education and Teaching TechniquesScience Education and Pedagogy

Computational thinking for teacher education

Open access
Yadav, Aman, Stephenson, Chris, Hong, Hai·2017·Communications of the ACM

Abstract

This framework for developing pre-service teachers' knowledge does not necessarily depend on computers or other educational technology.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1145/2994591

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • CT design activities and subject matter are utilised to support students in engaging in HOTS and increasing their involvement in their studies.

    “CT design activities and subject matter are utilised to support students in engaging in HOTS and increasing their involvement in their studies (Yadav et al. 2017).”

    From Incorporating Computational Thinking Into Virtual Laboratories to Enhance Learning Motivation, Engagement, and Higher‐Order Thinking Skills (2025) · cites this paper as Yadav et al. 2017

    In “Computational thinking is often mistakenly equated with using computer technology” (page unavailable), the paper describes subject-area design activities and reports that exposure to computational thinking may improve students’ problem-solving and critical-thinking skills, supporting the higher-order-thinking part of the claim. It says game design engages students in computational-thinking concepts, but does not establish that these activities increase their involvement in their studies. (LLM, conf=0.86)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 19

  1. Barr, V. and Stephenson, C. Bringing computational thinking to K-12: What is involved and what is the role of the computer science education community? ACM Inroads 2, 1 (Mar. 2011), 48-54.
  2. Bundy, A. Computational thinking is pervasive. Journal of Scientific and Practical Computing 1, 2 (2007), 67-69.
  3. Calao, L.A. et al. Developing mathematical thinking with Scratch: An experiment with 6 th grade students. In Proceedings of the Design for Teaching and Learning in a Networked World 10 th European Conference on Technology Enhanced Learning (Toledo, Spain, Sept. 15-18). Springer International Publishing, 2015, 17-27.
  4. Denning, P.J. The profession of IT beyond computational thinking. Commun. ACM 52, 6 (June 2009), 28-30.
  5. Franklin, D. Putting the computer science in computing education research. Commun. ACM 58, 2 (Feb. 2015), 34-36.
  6. Grover, S. and Pea, R.D. Computational thinking in K-12: A review of the state of the field. Educational Researcher 42, 1 (Jan. 2013), 38-43.
  7. Hemmendinger, D. A plea for modesty. ACM Inroads 1, 2 (June 2010), 4-7.
  8. Kahney, H. Problem Solving: Current Issues. Open University Press, Buckingham, U.K., 1993.
  9. Lee, I. et al. Computational thinking for youth in practice. ACM Inroads 2, 1 (Mar. 2011), 32-37.
  10. National Research Council. A Framework for K-12 Science Education: Practices, Crosscutting Concepts, and Core Ideas. The National Academies Press, Washington, D.C., 2012.
  11. National Research Council. Report of a Workshop of Pedagogical Aspects of Computational Thinking. The National Academies Press, Washington, D.C., 2011.
  12. National Research Council. Report of a Workshop on The Scope and Nature of Computational Thinking. The National Academies Press, Washington, D.C., 2010.
  13. Repenning, A. et al. Scalable game design: A strategy to bring systemic computer science education to schools through game design and simulation creation. ACM Transactions on Computing Education 15, 2 (May 2015), 1-31.
  14. Taylor, R.P. Introduction. In The Computer in School: Tutor, Tool, Tutee, R.P. Taylor, Ed. Teachers College Press, New York, 1980, 1-10.
  15. Weintrop, D. et al. Defining computational thinking for mathematics and science classrooms. Journal of Science Education and Technology 25, 1 (Feb. 2016), 127-147.
  16. Wing, J.M. Computational thinking. Commun. ACM 49, 3 (Mar. 2006), 33-35.
  17. Yadav, A. et al. Computational thinking in elementary and secondary teacher education. ACM Transactions on Computing Education 14, 1 (Mar. 2014), 1-16.
  18. Yadav, A. et al. Introducing computational thinking in education courses. In Proceedings of the 42 nd ACM Technical Symposium on Computer Science Education (Dallas, TX, Mar. 9-12). ACM Press, New York, 2011, 465-470.
  19. Yadav, A. and Korb, J.T. Learning to teach computer science. Commun. ACM 55, 11 (Nov. 2012), 31.

Cited by

Sorted by citations

Authors
Yadav, A., Stephenson, C., & Hong, H.
Affiliations
  • Michigan State University (US)
  • Google (United States) (US)
Venue
Communications of the ACM
Published
2017-03-24
Volume
60
Issue
4
Pages
55-62
ISSN
  • 0001-0782 (ISSN-L)
  • 1557-7317
OpenAlex
W2599518471
Cited by
382
References
1
Citations by year
2026: 35 · 2025: 38 · 2024: 42 · 2023: 41 · 2022: 60 · 2021: 59 · 2020: 42 · 2019: 37 · 2018: 20 · 2017: 8
FWCI
35.07
Type
journal article
Language
en
Open access
Locations
Communications of the ACM (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Computer Science Applications › Teaching and Learning Programming
  • Social Sciences › Education › Mathematics Education and Teaching Techniques
  • Social Sciences › Education › Science Education and Pedagogy
Keywords
computational thinking, teacher professional development, pre-service teachers, teacher knowledge development, educational technology

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 ›

Are you an author, or do you see a problem with this page? Request a review