TriQuest：一个用于跨学科课程设计的AI副驾驶平台
TriQuest:An AI Copilot-Powered Platform for Interdisciplinary Curriculum Design
AI总结：
TriQuest是一个AI副驾驶平台，利用大型语言模型和知识图谱，通过人机协作评审，帮助教师高效生成高质量跨学科教案，提升效率并降低设计门槛。
摘要：
跨学科教学是现代课程改革的基石，但其实施因知识整合方面的挑战和耗时的课程规划而受阻。现有工具往往缺乏所需的教学法和特定领域的深度。我们介绍了TriQuest，一个旨在解决这些问题的AI副驾驶平台。TriQuest通过直观的图形用户界面使用大型语言模型和知识图谱，帮助教师高效生成高质量的跨学科教案。其核心功能包括来自不同学科的智能知识整合，以及人机协作的评审过程，以确保质量和创新。在一项涉及43名教师的研究中，TriQuest提高了课程设计效率并改善了教案质量。它还显著降低了设计门槛和认知负荷。我们的工作为利用智能技术赋能教师专业发展提供了一种新范式。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
