{"ID":2860803,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2510.03369","arxiv_id":"2510.03369","title":"TriQuest:An AI Copilot-Powered Platform for Interdisciplinary Curriculum Design","abstract":"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.","short_abstract":"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 so...","url_abs":"https://arxiv.org/abs/2510.03369","url_pdf":"https://arxiv.org/pdf/2510.03369v2","authors":"[\"Huazhen Wang\",\"Huimin Yang\",\"Hainbin Lin\",\"Yan Dong\",\"Lili Chen\",\"Liangliang Xia\",\"Wenwen Xu\"]","published":"2025-10-03T06:04:59Z","proceeding":"cs.CY","tasks":"[\"cs.CY\",\"cs.AI\"]","methods":"[\"Language Model\"]","has_code":false}