Computational thinking and thinking about computing
Open accessAbstract
Computational thinking will influence everyone in every field of endeavour. This vision poses a new educational challenge for our society, especially for our children. In thinking about computing, we need to be attuned to the three drivers of our field: science, technology and society. Accelerating technological advances and monumental societal demands force us to revisit the most basic scientific questions of computing.
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CT is a problem-solving technique.
“Integrating CT into virtual laboratories could enhance student HOTS in practical courses because CT is a problem-solving technique (Wing 2008)”
From Incorporating Computational Thinking Into Virtual Laboratories to Enhance Learning Motivation, Engagement, and Higher‐Order Thinking Skills (2025) · cites this paper as Wing 2008
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Cites
Strukov, D. B., Snider, G. S., Stewart, D. R., & Williams, R. S. (2008) · Nature · doi:10.1038/nature06932 · Cited by 11,744 · see citing works
Memristor—The Missing Circuit Element
Chua, L. (1971) · IEEE Transactions on Circuit Theory · doi:10.1109/tct.1971.1083337 · Cited by 10,268 · cited 2× · see citing works
“(2008) announced that they can create a memristor (Chua 1971), the missing fourth element along with the resistor, capacitor and inductor.”
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Flagged first, then by citations
Research works printed but not linked: 7
- Abraham, D., Blum, A. & Sandholm, T. 2007 Clearing algorithms for barter exchange markets: enabling nationwide kidney exchanges. In Proc. 8th ACM Conf. on Electronic Commerce, pp. 295–304. New York, NY: Association for Computing Machinery.
- Adleman L.M. Molecular computation of solutions to combinatorial problems Science 266 1994 1021 1024 10.1126/science.7973651 7973651 · DOI · Paper page
- Benenson Y. Gil B. Ben-Dor U. Adar R. Shapiro E. An autonomous molecular computer for logical control of gene expression Nature 429 2004 423 429 10.1038/nature02551 15116117 · DOI
- Fisher J. Henzinger T.A. Executable cell biology Nat. Biotechnol 25 2007 1239 1249 10.1038/nbt1356 17989686 · DOI
- Heller, M. J., Sullivan, B. & Dehling, D. 2005 Fabrication of photonic transfer DNA–quantum dot nanostructures. In Technical Proc. 2005 NSTI Nanotechnology Conference and Trade Show, vol. 1, ch. 12, pp. 769–772.
- Wing, J. M. 2006 Computational thinking. Commun. ACM 49, 33–35.
- Wing J.M. Five deep questions in computing Commun. ACM 51 2008 58 60 10.1145/1327452.1327479 · DOI
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Demystifying computational thinking
Shute, V. J., Sun, C., & Asbell-Clarke, J. (2017) · Educational Research Review · doi:10.1016/j.edurev.2017.09.003 · Cited by 1,466 · see citing works
Hsu, T.-C., Chang, S.-C., & Hung, Y.-T. (2018) · Computers & Education · doi:10.1016/j.compedu.2018.07.004 · Cited by 788 · see citing works
Assessing computational thinking: A systematic review of empirical studies
Tang, X., Yin, Y., Lin, Q., Hadad, R., & Zhai, X. (2020) · Computers & Education · doi:10.1016/j.compedu.2019.103798 · Cited by 647 · see citing works
Computational thinking development through creative programming in higher education
Romero, M., Lepage, A., & Lille, B. (2017) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-017-0080-z · Cited by 250 · see citing works
Computational thinking and mathematics using Scratch: an experiment with sixth-grade students
Rodríguez-Martínez, J. A., González-Calero, J. A., & Sáez-López, J. M. (2020) · Interactive Learning Environments · doi:10.1080/10494820.2019.1612448 · Cited by 214 · see citing works
Noh, J., & Lee, J. (2020) · Educational Technology Research and Development · doi:10.1007/s11423-019-09708-w · Cited by 207 · see citing works
Computing education in children's early years: A call for debate
Manches, A., & Plowman, L. (2017) · British Journal of Educational Technology · doi:10.1111/bjet.12355 · Cited by 170 · see citing works
A systematic review of integrating computational thinking in early childhood education
Su, J., & Yang, W. (2023) · Computers and Education Open · doi:10.1016/j.caeo.2023.100122 · Cited by 174 · see citing works
From Gaming to Computational Thinking: An Adaptive Educational Computer Game-Based Learning Approach
Hooshyar, D., Pedaste, M., Yang, Y., Malva, L., Hwang, G.-J., Wang, M., Lim, H., & Delev, D. (2021) · Journal of Educational Computing Research · doi:10.1177/0735633120965919 · Cited by 132 · see citing works
Defining a New 21st Century Skill-Computational Thinking: Concepts and Trends
Haseski, H. I., Ilic, U., & Tugtekin, U. (2018) · International Education Studies · doi:10.5539/ies.v11n4p29 · Cited by 105 · see citing works
Effect of design-based learning on improving computational thinking
Jun, S., Han, S., & Kim, S. (2016) · Behaviour & Information Technology · doi:10.1080/0144929x.2016.1188415 · Cited by 66 · see citing works
Dietz, G., Le, J. K., Tamer, N., Han, J., Gweon, H., Murnane, E. L., & Landay, J. A. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3411764.3445039 · Cited by 67 · see citing works
Falloon, G. (2024) · Computers & Education · doi:10.1016/j.compedu.2024.105045 · Cited by 63 · see citing works
Sadik, O., Leftwich, A.-O., & Nadiruzzaman, H. (2017) · Emerging Research, Practice, and Policy on Computational Thinking · doi:10.1007/978-3-319-52691-1_14 · Cited by 40 · see citing works
Does recreational computer use affect high school achievement?
Bowers, A. J., & Berland, M. (2013) · Educational Technology Research and Development · doi:10.1007/s11423-012-9274-1 · Cited by 40 · see citing works
Exploring AR and VR Tools in Mathematics Education Through Culturally Responsive Pedagogies
Bertrand, M. G., Sezer, H. B., & Namukasa, I. K. (2024) · Digital Experiences in Mathematics Education · doi:10.1007/s40751-024-00152-x · Cited by 28 · see citing works
Wu, T., Sarwono, E., & Huang, Y. (2025) · Journal of Computer Assisted Learning · doi:10.1111/jcal.70017 · Cited by 9 · see citing works
Computing Education Research Today
Fincher, S. A., Tenenberg, J., Dorn, B., Hundhausen, C., McCartney, R., & Murphy, L. (2019) · The Cambridge Handbook of Computing Education Research · doi:10.1017/9781108654555.003 · Cited by 7 · see citing works
- Authors
- Wing, J. M.
- Affiliations
- Carnegie Mellon University (US)
- Corresponding author
- Wing, Jeannette M
- ORCID
- Wing, Jeannette M
- Venue
- Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
- Publisher
- The Royal Society
- Published
- 2008-07-31
- Volume
- 366
- Issue
- 1881
- Pages
- 3717-3725
- ISSN
- 1364-503X (ISSN-L)
- 1471-2962
- PMC
- PMC2696102
- OpenAlex
- W2165568289
- Cited by
- 1,784
- References
- 2
- Citations by year
- 2026: 87 · 2025: 135 · 2024: 194 · 2023: 197 · 2022: 184 · 2021: 196 · 2020: 162 · 2019: 185 · 2018: 96 · 2017: 83 · 2016: 71 · 2015: 78 · 2014: 46 · 2013: 26 · 2012: 17
- FWCI
- 22.29
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (publishedVersion)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- National Science Foundation
- Microsoft Research
- Topics
- Physical Sciences › Computer Science › Computer Science Applications › Teaching and Learning Programming
- Physical Sciences › Computer Science › Information Systems › Digital Education and Society
- Physical Sciences › Engineering › Mechanical Engineering › Design Education and Practice
- Keywords
- computational thinking, computing education, science, technology and society, societal impact of computing, technological change
- MeSH terms
- Artificial Intelligence, Microcomputers, Signal Processing, Computer-Assisted, Software, User-Computer Interface, Biomimetics
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