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Designing a Computational Action Program to Tackle Global Challenges

Published:06 March 2023Publication History

ABSTRACT

As artificial intelligence involves and shapes personal and professional lives, there is a critical need to nurture and prepare AI-enabled problem-solvers. FutureMakers is designed as a six-week program that introduces foundational knowledge and essential skills to develop innovative solutions with AI responsibly. Our study utilized a convergent mixed-method design to evaluate the impact of the FutureMakers program on students' learning outcomes and shifting perspectives on AI. Quantitative data showed a shift in students' AI literacy with a large effect size. Qualitative data, based on student interviews, showed an awareness of an ethical engineering design process in applying technical skills to solve real-world problems. The program showed the impact of the computational action approach to tackle authentic challenges.

References

  1. Ching Sing Chai, Pei-Yi Lin, Morris Siu-Yung Jong, Yun Dai, Thomas KF Chiu, and Jianjun Qin. 2021. Perceptions of and behavioral intentions towards learning artificial intelligence in primary school students. Educational Technology & Society 24, 3 (2021), 89--101.Google ScholarGoogle Scholar
  2. Mike Tissenbaum, Josh Sheldon, and Hal Abelson. 2019. From computational thinking to computational action. Commun. ACM 62, 3 (2019), 34--36.Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Designing a Computational Action Program to Tackle Global Challenges

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      • Published in

        cover image ACM Conferences
        SIGCSE 2023: Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 2
        March 2023
        1481 pages
        ISBN:9781450394338
        DOI:10.1145/3545947

        Copyright © 2022 Owner/Author

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 6 March 2023

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