Designing Child-Centric AI Learning Environments: Insights from LLM-Enhanced Creative Project-Based Learning
Article Status
Published
Authors/contributors
- Zha, Siyu (Author)
- Qiao, Yuehan (Author)
- Hu, Qingyu (Author)
- Li, Zhongsheng (Author)
- Gong, Jiangtao (Author)
- Xu, Yingqing (Author)
Title
Designing Child-Centric AI Learning Environments: Insights from LLM-Enhanced Creative Project-Based Learning
Abstract
Project-based learning (PBL) is an instructional method that is very helpful in nurturing students' creativity, but it requires significant time and energy from both students and teachers. Large language models (LLMs) have been proven to assist in creative tasks, yet much controversy exists regarding their role in fostering creativity. This paper explores the potential of LLMs in PBL settings, with a special focus on fostering creativity. We began with an exploratory study involving 12 middle school students and identified five design considerations for LLM applications in PBL. Building on this, we developed an LLM-empowered, 48-hour PBL program and conducted an instructional experiment with 31 middle school students. Our results indicated that LLMs can enhance every stage of PBL. Additionally, we also discovered ambivalent perspectives among students and mentors toward LLM usage. Furthermore, we explored the challenge and design implications of integrating LLMs into PBL and reflected on the program. By bridging AI advancements into educational practice, our work aims to inspire further discourse and investigation into harnessing AI's potential in child-centric educational settings.
Repository
arXiv
Archive ID
arXiv:2403.16159
Date
April 5th, 2024
Accessed
28/05/2024, 14:55
Short Title
Designing Child-Centric AI Learning Environments
Library Catalogue
Extra
arXiv:2403.16159 [cs]
<AI Smry>: The results indicated that LLMs can enhance every stage of PBL, and bridging AI advancements into educational practice aims to inspire further discourse and investigation into harnessing AI's potential in child-centric educational settings.
Citation
Zha, S., Qiao, Y., Hu, Q., Li, Z., Gong, J., & Xu, Y. (2024). Designing Child-Centric AI Learning Environments: Insights from LLM-Enhanced Creative Project-Based Learning (arXiv:2403.16159). arXiv. https://doi.org/10.48550/arXiv.2403.16159
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