AI助教平台让跨学科备课更高效，教师效率提升明显。
TriQuest:An AI Copilot-Powered Platform for Interdisciplinary Curriculum Design
- 用大模型+知识图谱实现多学科知识自动整合
- 43位教师参与测试，设计效率与教案质量显著提升
- 适合教育工作者、课程设计师快速上手使用
跨学科教学是现代课程改革的核心，但知识融合难、备课耗时问题突出，现有工具普遍缺乏教学法和领域深度。我们提出TriQuest——一个由AI智能体驱动的跨学科课程设计平台，通过大语言模型与知识图谱结合，配合直观图形界面，帮助教师高效生成高质量跨学科教案。核心功能包括多学科知识智能融合及人机协同评审机制，保障内容质量与创新性。在43位教师的实验中，该平台显著提升课程设计效率，改善教案质量，并大幅降低设计门槛与认知负担。本研究为智能技术赋能教师专业发展提供了新范式。
原文摘要 · Abstract (English)
Interdisciplinary teaching is a cornerstone of modern curriculum reform, but its implementation is hindered by challenges in knowledge integration and time-consuming lesson planning. Existing tools often lack the required pedagogical and domain-specific depth.We introduce TriQuest, an AI-copilot platform designed to solve these problems. TriQuest uses large language models and knowledge graphs via an intuitive GUI to help teachers efficiently generate high-quality interdisciplinary lesson plans. Its core features include intelligent knowledge integration from various disciplines and a human-computer collaborative review process to ensure quality and innovation.In a study with 43 teachers, TriQuest increased curriculum design efficiency and improved lesson plan quality. It also significantly lowered design barriers and cognitive load. Our work presents a new paradigm for empowering teacher professional development with intelligent technologies.
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