keynote

Computational Thinking 2.0

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Matti TedreAuthors Info & Claims

WiPSCE '22: Proceedings of the 17th Workshop in Primary and Secondary Computing Education

Article No.: 1, Pages 1 - 2

https://doi.org/10.1145/3556787.3556788

Published: 31 October 2022 Publication History

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Abstract

Machine learning (ML) has triggered major changes across a great number of computing fields. People’s lives today are full of ML-driven services: eerily accurate recommendations, ability to automatically tag one’s friends in photos, and well working translation systems, for example. This keynote talk presents how ML technology upends the computational thinking (CT) consensus in computing education. It begins by presenting why and how a number of classical “CT1.0” concepts need to be re-thought for the “CT2.0” (machine learning) era, from control structures and problem-solving workflow, to correctness and notional machines. Based on a series of classroom interventions on teaching machine learning to middle schoolers, conducted by DIGS RC at University of Eastern Finland, the talk also presents how classroom pedagogy shifts between CT1.0 and CT2.0.

References

[1]

Adnan Darwiche. 2018. Human-level Intelligence or Animal-like Abilities?Commun. ACM 61, 10 (2018), 56–67.

Digital Library

Google Scholar

[2]

Peter J. Denning and Matti Tedre. 2021. Computational Thinking for Professionals. Commun. ACM 64, 12 (2021), 30–33. https://doi.org/10.1145/3491268

Digital Library

Google Scholar

[3]

Lance Fortnow. 2021. Fifty Years of P vs. NP and the Possibility of the Impossible. Commun. ACM 65, 1 (2021), 76–85. https://doi.org/10.1145/3460351

Digital Library

Google Scholar

[4]

Arnold Pears, Matti Tedre, Teemu Valtonen, and Henriikka Vartiainen. 2021. What Makes Computational Thinking so Troublesome?. In 2021 IEEE Frontiers in Education Conference (FIE). IEEE, Lincoln, NE, USA, 1–7. https://doi.org/10.1109/FIE49875.2021.9637416

Digital Library

Google Scholar

[5]

R. Benjamin Shapiro, Rebecca Fiebrink, and Peter Norvig. 2018. How Machine Learning Impacts the Undergraduate Computing Curriculum. Commun. ACM 61, 11 (2018), 27–29.

Digital Library

Google Scholar

[6]

Matti Tedre, Peter J. Denning, and Tapani Toivonen. 2021. CT 2.0. In 21st Koli Calling International Conference on Computing Education Research (Joensuu, Finland) (Koli Calling ’21). ACM, New York, NY, USA, Article 3, 8 pages. https://doi.org/10.1145/3488042.3488053

Digital Library

Google Scholar

[7]

Matti Tedre, Tapani Toivonen, Juho Kahila, Henriikka Vartiainen, Teemu Valtonen, Ilkka Jormanainen, and Arnold Pears. 2021. Teaching Machine Learning in K–12 Classroom: Pedagogical and Technological Trajectories for Artificial Intelligence Education. IEEE Access 9(2021), 110558–110572. https://doi.org/10.1109/ACCESS.2021.3097962

Crossref

Google Scholar

[8]

Tapani Toivonen. 2020. Open Machine Intelligence in Education. Ph. D. Dissertation. University of Eastern Finland, Joensuu, Finland.

Google Scholar

[9]

Teemu Valtonen, Matti Tedre, Kati Mäkitalo, and Henriikka Vartiainen. 2019. Media Literacy Education in the Age of Machine Learning. Journal of Media Literacy Education 11, 1 (2019), 20–36.

Crossref

Google Scholar

[10]

Henriikka Vartiainen, Lotta Pellas, Juho Kahila, Teemu Valtonen, and Matti Tedre. 2022. Pre-Service Teachers’ Insights on Data Agency. New Media & Society(2022), 1–20. https://doi.org/10.1177/14614448221079626

Crossref

Google Scholar

[11]

Henriikka Vartiainen, Tapani Toivonen, Ilkka Jormanainen, Juho Kahila, Matti Tedre, and Teemu Valtonen. 2020. Machine learning for middle schoolers: Children as designers of Machine Learning Apps. In Proceedings of the 2020 FIE Conference. Uppsala, Sweden.

Digital Library

Google Scholar

Cited By

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Moreno-León JVasco-González MRomán-González MRobles G(2024)Investigating the Impact of Programming Activities on Computational Thinking and AI Literacy in Spanish SchoolsProceedings of the 19th WiPSCE Conference on Primary and Secondary Computing Education Research10.1145/3677619.3678111(1-10)Online publication date: 16-Sep-2024
https://dl.acm.org/doi/10.1145/3677619.3678111

Index Terms

Computational Thinking 2.0
1. Social and professional topics
  1. Professional topics
    1. Computing education
      1. Computational thinking
      2. K-12 education

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WiPSCE '22: Proceedings of the 17th Workshop in Primary and Secondary Computing Education

October 2022

130 pages

ISBN:9781450398534

DOI:10.1145/3556787

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Published: 31 October 2022

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WiPSCE '22

WiPSCE '22: The 17th Workshop in Primary and Secondary Computing Education

October 31 - November 2, 2022

Morschach, Switzerland

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WiPSCE '22 Paper Acceptance Rate 14 of 41 submissions, 34%;

Overall Acceptance Rate 104 of 279 submissions, 37%

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Moreno-León JVasco-González MRomán-González MRobles G(2024)Investigating the Impact of Programming Activities on Computational Thinking and AI Literacy in Spanish SchoolsProceedings of the 19th WiPSCE Conference on Primary and Secondary Computing Education Research10.1145/3677619.3678111(1-10)Online publication date: 16-Sep-2024
https://dl.acm.org/doi/10.1145/3677619.3678111

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Recommendations

Evaluation and development of STEAM teachers’ computational thinking skills: Analysis of multiple influential factors

Computational thinking in high school courses

A Computational Thinking Obstacle Course Based on Bebras Tasks for K-12 Schools

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