Designing Child-Centric AI Learning Environments: Insights from LLM-Enhanced Creative Project-Based Learning
arxiv(2024)
摘要
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.
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