Play by Design: Developing Artificial Intelligence Literacy through Game-based Learning

Authors

  • Xiaoxue Du

    MIT Media Lab, MIT, Cambridge, MA, 02139, USA
  • Xi Wang

    Columbia University, New York, 10025, USA

DOI:

https://doi.org/10.30564/jcsr.v5i4.5999
Received: 7 October2023 | Revised: 30 October 2023 | Accepted: 31 October 2023 | Published Online: 10 November 2023

Abstract

The paper proposes an innovative approach aimed at fostering AI literacy through interactive gaming experiences. This paper designs a game-based prototype for preparing pre-service teachers to innovate teaching practices across disciplines. The simulation, Color Conquest, serves as a strategic game to encourage educators to reconsider their pedagogical practices. It allows teachers to use and develop various scenarios by customizing maps, giving students agency to engage in the complex decision-making process. Additionally, this engagement process provides teachers with an opportunity to develop students' skills in artificial intelligence literacy as students actively develop strategic thinking, problem-solving, and critical reasoning skills.

Keywords:

Game-based learning, Game-based assessment, Artificial intelligence literacy, Design thinking, Computational thinking, Teacher education

References

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How to Cite

Du, X., & Wang, X. (2023). Play by Design: Developing Artificial Intelligence Literacy through Game-based Learning. Journal of Computer Science Research, 5(4), 1–12. https://doi.org/10.30564/jcsr.v5i4.5999

Issue

Vol. 5 , Iss. 4 (October 2023)

Article Type

Article

License

Copyright © 2023 Author(s)

Creative Commons License

This is an open access article under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) License.

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