Teenagers and Artificial Intelligence: Bootcamp Experience and Lessons Learned (2312.10067v1)
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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- Uzay Macar (6 papers)
- Blake Castleman (3 papers)
- Noah Mauchly (1 paper)
- Michael Jiang (1 paper)
- Asma Aouissi (1 paper)
- Salma Aouissi (1 paper)
- Xena Maayah (1 paper)
- Kaan Erdem (1 paper)
- Rohith Ravindranath (1 paper)
- Andrea Clark-Sevilla (1 paper)
- Ansaf Salleb-Aouissi (9 papers)