Volume 14 · Number 3 · Pages 404–406
Towards a Creator Mindset for Computational Thinking: Reflections on Task-Cards

Mikko-Ville Apiola

Log in to download the full text for free

> Citation > Similar > References > Add Comment


Open peer commentary on the article “Creativity in Solving Short Tasks for Learning Computational Thinking” by Valentina Dagienė, Gerald Futschek & Gabrielė Stupurienė. Abstract: Computational thinking (CT) skills are nowadays strongly advocated for educational institutions at all levels. CT refers broadly to skills of thinking about the world from a computational perspective, however, not necessarily referring to programming skills in particular. There is still a lack of consensus about what CT means, and how CT should be taught. This open peer commentary briefly discusses some ongoing trends of CT in response to the target article, which reports development, field testing and piloting of an extensive set of new learning materials for teaching CT. Recent calls for interdisciplinary technology education, creativity and open-ended problem solving in CT are highlighted.


Apiola M.-V. (2019) Towards a creator mindset for computational thinking: Reflections on task-cards. Constructivist Foundations 14(3): 404–406. https://constructivist.info/14/3/404

Export article citation data: Plain Text · BibTex · EndNote · Reference Manager (RIS)


Aho A. V. (2012) Computation and computational thinking. The Computer Journal 55(7): 832–835. ▸︎ Google︎ Scholar
Bell J. & Bell T. (2018) Integrating computational thinking with a music education context. Informatics in Education 17(2): 151–166. ▸︎ Google︎ Scholar
Bell T., Rosamond F. & Casey N. (2012) Computer science unplugged and related projects in math and computer science popularization. Springer, Berlin: 398–456. ▸︎ Google︎ Scholar
Benvenuti L., Barendsen E., van der Veer G. C. & Versendaal J. (2018) Understanding computing in a hybrid world: On the undergraduate curriculum front-end development. In: Proceedings of the 49th ACM Technical Symposium on Computer Science Education, SIGCSE ’18. ACM, New York NY: 580–585. ▸︎ Google︎ Scholar
Brynjolfsson E. & Mitchell T. (2017) What can machine learning do? Workforce implications. Science 358(6370): 1530–1534. ▸︎ Google︎ Scholar
Curzon P., Peckham J., Taylor H., Settle A. & Roberts E. (2009) Computational thinking (CT) On weaving it in. In: Proceedings of the 14thp Annual ACM SIGCSE Conference on Innovation and Technology in Computer Science Education, ITiCSE ’09. ACM, New York NY: 201–202. ▸︎ Google︎ Scholar
Davidson C. N. (2017) The new education: How to revolutionize the university to prepare students for a world in flux. Basic Books, New York. ▸︎ Google︎ Scholar
Denning P. J. (2017) Remaining trouble spots with computational thinking. Communications of the ACM 60(6): 33–39. ▸︎ Google︎ Scholar
Ericsson K. A. & Ward P. (2007) Capturing the naturally occurring superior performance of experts in the laboratory: Toward a science of expert and exceptional performance. Current Directions in Psychological Science 16(6): 346–350. ▸︎ Google︎ Scholar
Frey C. B. & Osborne M. A. (2017) The future of employment: How susceptible are jobs to computerisation? Technological Forecasting and Social Change 114 (Supplement C): 254–280. ▸︎ Google︎ Scholar
Greene R. (2013) Mastery. Penguin Books, London. ▸︎ Google︎ Scholar
Grover S. & Pea R. (2013) Computational thinking in K–12: A review of the state of the field. Educational Researcher 42(1): 38–43. ▸︎ Google︎ Scholar
Kivunja C. (2015) Teaching students to learn and to work well with 21st century skills: Unpacking the career and life skills domain of the new learning paradigm. International Journal of Higher Education 4(1): 1–11. https://files.eric.ed.gov/fulltext/EJ1060566.pdf
Larsson P., Apiola M. & Laakso M. -J. (2019) The uniqueness of computational thinking. In: Skala K. (ed.) Proceedings of 42nd International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO 2019) Croatian Society for Information and Communication Technology, Electronics and Microelectronics, Rijeka: 795–800. http://docs.mipro-proceedings.com/proceedings/mipro_2019_proceedings.pdf
Mannila L., Dagienė V., Demo B., Grgurina N., Mirolo C., Rolandsson L. & Settle A. (2014) Computational thinking in K-9 education. In: Proceedings of the Working Group Reports of the 2014 on Innovation Technology in Computer Science Education Conference, ITiCSE-WGR ’14. ACM, New York NY: 1–29. ▸︎ Google︎ Scholar
Mikko-Ville Apiola is a computer and educational scientist. He is currently working as a postdoctoral researcher at the Department of Future Technologies, University of Turku, Finland. In the past, he has worked in several Finnish and Tanzanian universities. His research interests include educational psychology, learning analytics, computing education, computational thinking, and ICT for development (ICT4d). ▸︎ Google︎ Scholar
Pajarinen M. & Rouvinen P. (2014) Computerization threatens one third of Finnish employment. ETLA Brief 22. http://pub.etla.fi/ETLA-Muistio-Brief-22.pdf
Papert S. (1980) Mindstorms: Children, computers, and powerful ideas. Basic Books, New York. ▸︎ Google︎ Scholar
Root-Bernstein R. (2018) STEMM education should get “HACD.” Science 361(6397): 22–23. ▸︎ Google︎ Scholar
Seligman M. E. P. (2011) Flourish: A visionary new understanding of happiness and well-being. ATRIA Paperback, New York NY. ▸︎ Google︎ Scholar
Shute V. J., Sun C. & Asbell-Clarke J. (2017) Demystifying computational thinking. Educational Research Review 22: 142–158. ▸︎ Google︎ Scholar
Skorton D. & Bear A. (2018) The integration of the humanities and arts with sciences, engineering, and medicine in higher education: Branches from the same tree. The National Academies Press, Washington DC. ▸︎ Google︎ Scholar
Tedre M. & Apiola M. (2013) Three computing traditions in school computing education. In: Kadijevich D. M., Angeli C. & Schulte C. (eds.) Improving computer science education. Routledge, London: 100–116. ▸︎ Google︎ Scholar
Tedre M. & Denning P. J. (2016) The long quest for computational thinking. In: Proceedings of the 16th Koli Calling International Conference on Computing Education Research, Koli Calling ’16. ACM, New York NY: 120–129. ▸︎ Google︎ Scholar
Tedre M. & Sutinen E. (2008) Three traditions of computing: What educators should know. Computer Science Education 18(3): 153–170. ▸︎ Google︎ Scholar
Wegner P. (1970) Three computer cultures: Computer technology, computer mathematics, and computer science. Advances in Computers 10: 7–78. ▸︎ Google︎ Scholar
Wing J. M. (2008) Computational thinking and thinking about computing. Philosophical Transactions of the Royal Society of London A: Mathematical, Physical and Engineering Sciences 366(1881): 3717–3725. ▸︎ Google︎ Scholar
Wing J. M. (2008) Five deep questions in computing. Communications of the ACM 51(1): 58–60. ▸︎ Google︎ Scholar

Comments: 0

To stay informed about comments to this publication and post comments yourself, please log in first.