Introduction
At the turn of this century, educators and social scientists began to notice that youth who grew up having intensive, long-term experiences with technology – sometimes called “digital natives” or “power users of technology” – appeared to think and solve problems differently from those with more limited technology experience. At the same time, computer scientists began to discuss how individuals living, learning, and working in an increasingly technology-driven world would become “advantaged” if they adopted the “ways of thinking” used by computer scientists. They began to describe the ways of thinking that would allow people to take advantage of the affordances of technology for the creative process, for solving previously intractable problems, and for producing new products and services. These trends converge in the concept we now know as “computational thinking.”
Over the past decade, computational thinking has become a global initiative for educational change. Countries...
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References
Angeli C, Voogt J, Fluck A, Webb M, Cox M, Malyn-Smith J, Zagami J (2016) A K–6 computational thinking curriculum framework: implications for teacher knowledge. Educ Technol Soc 19:47–57
Bocconi, S, Chioccariello A, Dettori G, Ferrari A, Engelhardt K (2016) Developing computational thinking in compulsory education. Implications for policy and practice. EUR 28295 EN. https://doi.org/10.2791/792158
Cuny J, Snyder L, Wing JM (n.d.) Demystifying computational thinking for non-computer scientists. Manuscript in progress
Grover S (2017) Assessing algorithmic and computational thinking in K–12: lessons from a middle school classroom. In: Rich PJ, Hodges CB (eds) Emerging research, practice, and policy on computational thinking. Springer, New York, pp 269–288
Lee I (2011) Assessing youth’s computational thinking in the context of modeling & simulation. AERA conference proceedings. New Orleans, LA, USA
Lee I, Martin F, Denner J, Coulter B, Allan W, Erickson J, Mayln-Smith J, Werner L (2011) Computational thinking for youth in practice. ACM Inroads 2(1):32–37
Malyn-Smith J, Lee IA, Martin F, Grover S, Evans MA, Pillai S (2018) Developing a framework for computational thinking from a disciplinary perspective. Manuscript in progress
National Science Foundation (2017) STEM + computing partnerships (STEM+C): Program solicitation NSF 17-535. Retrieved from https://www.nsf.gov/pubs/2017/nsf17535/nsf17535.htm
Royal Society (2012) Shut down or restart? The way forward for computing in UK schools. The Royal Society, London. Retrieved from http://royalsociety.org/uploadedFiles/Royal_Society_Content/education/policy/computing-in-schools/2012-01-12-Computing-in-Schools.pdf
Voogt J, Fisser P, Good J, Mishra P, Yadav A (2015) Computational thinking in compulsory education: towards an agenda for research and practice. Educ Inf Technol 20(4):715–728. Retrieved from http://link.springer.com/article/10.1007/s10639-015-9412-6
Weintrop D, Beheshti E, Horn M, Orton K, Jona K, Trouille L, Wilensky U (2016) Defining computational thinking for mathematics and science classrooms. J Sci Educ Technol 25(1):127–147
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Malyn-Smith, J., Angeli, C. (2020). Computational Thinking. In: Tatnall, A. (eds) Encyclopedia of Education and Information Technologies. Springer, Cham. https://doi.org/10.1007/978-3-030-10576-1_4
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