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Teenagers and Artificial Intelligence: Bootcamp Experience and Lessons Learned (2312.10067v1)

Published 5 Dec 2023 in cs.CY and cs.AI

Abstract: AI stands out as a game-changer in today's technology landscape. However, the integration of AI education in classroom curricula currently lags behind, leaving teenagers inadequately prepared for an imminent AI-driven future. In this pilot study, we designed a three-day bootcamp offered in the summer of 2023 to a cohort of 60 high school students. The curriculum was delivered in person through animated video content, easy-to-follow slides, interactive playgrounds, and quizzes. These were packaged in the early version of an online learning platform we are developing. Results from the post-bootcamp survey conveyed a 91.4% overall satisfaction. Despite the short bootcamp duration, 88.5% and 71.4% of teenagers responded that they had an improved understanding of AI concepts and programming, respectively. Overall, we found that employing diverse modalities effectively engaged students, and building foundational modules proved beneficial for introducing more complex topics. Furthermore, using Google Colab notebooks for coding assignments proved challenging to most students. Students' activity on the platform and their answers to quizzes showed proficient engagement and a grasp of the material. Our results strongly highlight the need for compelling and accessible AI education methods for the next generation and the potential for informal learning to fill the gap of providing early AI education to teenagers.

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References (17)
  1. AI curriculum for European high schools: An embedded intelligence approach. International Journal of Artificial Intelligence in Education, 33: 399 – 426.
  2. Department of Defense, D. 2019. Campaign for an AI ready force.
  3. Imagine a more ethical AI: Using stories to develop teens’ awareness and understanding of artificial intelligence and its societal impacts. In 2021 Conference on Research in Equitable and Sustained Participation in Engineering, Computing, and Technology (RESPECT), 1–2.
  4. Learning artificial intelligence: Insights into how youth encounter and build understanding of AI concepts. Proceedings of the AAAI Conference on Artificial Intelligence, 35(17): 15526–15533.
  5. Youth and artificial intelligence: Where we stand. Berkman Klein Center Research Publication, (2019-3).
  6. Intercom. 2011. Intercom.
  7. Kunda, M. 2021. The AI triplet: Computational, conceptual, and mathematical representations in AI education. arXiv arXiv:2110.09290.
  8. Lane, H. 2023. Commentary for the International Journal of Artificial Intelligence in Education special issue on K-12 AI education. International Journal of Artificial Intelligence in Education, 33.
  9. K-12 AI curricula. A mapping of government-endorsed AI curricula.
  10. Artificial intelligence teaching and learning in K-12 from 2019 to 2022: A systematic literature review. Computers and Education: Artificial Intelligence, 4: 100145.
  11. Artificial intelligence: A modern approach (4th edition). Pearson. ISBN 9780134610993.
  12. Five design recommendations for teaching teenagers’ about artificial intelligence and machine learning. In Proceedings of the 22nd Annual ACM Interaction Design and Children Conference, IDC ’23, 298–309. New York, NY, USA: Association for Computing Machinery. ISBN 9798400701313.
  13. Machine learning and the five big ideas in AI. International Journal of Artificial Intelligence in Education.
  14. Special session: AI for K-12 guidelines initiative. In Proceedings of the 50th ACM technical symposium on computer science education, 492–493.
  15. Artificial intelligence thinking in K-12. Computational thinking education in K-12: Artificial intelligence literacy and physical computing, 153–180.
  16. Fashion-MNIST: A novel image dataset for benchmarking machine learning algorithms. Arxiv:1708.07747.
  17. Integrating ethics and career futures with technical learning to promote AI literacy for middle school students: An exploratory study. International Journal of Artificial Intelligence in Education, 33(2): 290–324.
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