大语言模型与知识图谱协同下高校AI项目导师构建研究——以“人工智能创新项目设计”为例  

Research on the Construction of AI Project Tutors in Universities under the Synergy of Big Language Model and Knowledge Map——Taking“AI-Based Innovation Project Design”as an Example

作　　者：王华珍[1] 林海斌 林昕愉 潘丽琪 周浩 董艳[2] Wang Huazhen;Lin Haibin;Lin Xinyu;Pan Liqi;Zhou Hao;Dong Yan(College of Computer Science and Technology,Huaqiao University,Xiamen,Fujian,China 361021;Faculty of Education,Beijing Normal University,Beijing,China 100875)

机构地区：[1]华侨大学计算机科学与技术学院,福建厦门361021 [2]北京师范大学教育学部,北京100875

出　　处：《数字教育》2024年第5期70-76,共7页Digital Education

基　　金：2021年度国家自然科学基金面上项目“STEM教育情境下多人同伴互动的脑协同机制与策略研究”(62177011);2021年度福建省社会科学基金基础研究项目“基于智能语音模型的洋腔洋调评测与识别系统研究”(FJ2021B110);2021年度教育部中外语言交流合作中心国际中文教育研究课题“基于中华文化读本的知识图谱构建与题库资源智能生成”(21YH30B);2022年度华侨大学第四批新工科示范课程建设项目“人工智能导论”(612-50122254)。

摘　　要：针对项目式学习面临的学习内容增加、知识体系重构以及学习方式变化等难题,提出了一种融合大语言模型(LLM)与知识图谱技术的高校AI项目导师系统构建方案。其中,大语言模型实现自然语言的理解和生成,而知识图谱负责专业知识库和增强大语言模型输出的可解释性和可靠性。高校AI项目导师能提供准确、个性化且全面的项目学习指导,使学习者有效应对各种复杂的项目式学习情境。“人工智能创新项目设计”课程的实证研究表明,采用高校AI项目导师系统显著提升了学生的课程参与度,促进了学生的工程创新素养、工程人文素养及AI素养三大核心素养的发展,并有效提高了学生对课程的满意度。这表明将大语言模型技术与知识图谱技术相结合而开发的在线教育工具,在提升教学质量、激发创新能力等方面展现出较高的发展潜力。Aiming at the challenges faced by project-based learning,such as the increase of learning content,the reconstruction of knowledge system,and the change of learning mode,a solution is proposed for the construction of a tutor system for AI projects in colleges and universities that integrates the Large Language Model(LLM)and Knowledge Graph(KG)technology,in which the LLM realizes natural language understanding and generation,while the KG is responsible for the interpretability and reliability of professional knowledge base and the enhanced LLM output.The university AI project tutor can provide accurate,personalized and comprehensive project learning guidance,enabling learners to effectively deal with various complex project-based learning situations.An empirical study in the course“AI-Based Innovation Project Design”shows that the adoption of the university AI project tutor system signifi cantly enhances students’course engagement,promotes the development of the three core literacies,namely,the engineering innovation literacy,the engineering humanities literacy,and the AI literacy,and at the same time,effectively improves students’satisfaction with the course.This suggests that the online education tool developed by integrating LLM with KG technology shows high development potential in improving teaching quality and stimulating the cultivation of innovation ability.

关 键 词：大语言模型 知识图谱 项目式学习 人工智能 AI导师 

分 类 号：G4[文化科学—教育学]