CYAIOct 3, 2025

TriQuest:An AI Copilot-Powered Platform for Interdisciplinary Curriculum Design

arXiv:2510.03369v2h-index: 1
AI Analysis

This addresses the problem of time-consuming and knowledge-intensive lesson planning for teachers, offering a new tool to support interdisciplinary teaching.

The paper tackles the problem of inefficient and challenging interdisciplinary curriculum design by introducing TriQuest, an AI-copilot platform that uses large language models and knowledge graphs to help teachers generate lesson plans. In a study with 43 teachers, it increased design efficiency and improved lesson plan quality.

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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