首页|期刊导航|现代教育技术|面向国际中文教育非遗文化传播的智能问答系统设计与评价

面向国际中文教育非遗文化传播的智能问答系统设计与评价OA

Design and Evaluation of an Intelligent Q&A System Facing Intangible Cultural Heritage Communication in International Chinese Education

中文摘要英文摘要

非物质文化遗产是中华优秀传统文化的重要载体,也是国际中文教育中促进文化理解的重要内容.然而,在国际中文教育场景中,现有大语言模型在非遗文化智能问答中的准确性和适用性仍有待提升.为此,文章设计了面向国际中文教育非遗文化传播的智能问答系统,提出一种知识图谱与大语言模型耦合的轻量化路径:首先,以三项具有代表性的国家级非遗项目为研究对象,抽取实体并进行语言调整后使用 Protégé 构建知识图谱,并将该知识图谱导入Neo4j 形成图数据库;之后,通过 Schema 约束、Few-shot 示例和 Cypher 查询,将自然语言提问映射到结构化检索,实现知识图谱与大语言模型的耦合;最后,通过知识覆盖率的客观指标和师生问卷的主观评分,对智能问答系统生成的回答进行质量评估,以检验该系统与常规大语言模型的性能差异.研究结果表明,智能问答系统在回答的知识覆盖率、准确性和适用性方面均显著优于常规大语言模型,尤其是在事实性知识和程序性知识的生成方面表现突出.文章提出的轻量化路径显著提升了智能问答系统在国际中文教育中非遗文化内容生成的准确性与教学适用性,为非物质文化遗产的有效传播提供了可操作的实践范例.

Intangible cultural heritage(ICH)constitutes a vital carrier of fine traditional Chinese culture and serves as key content for fostering cultural understanding within international Chinese education.However,the accuracy and applicability of existing large language model(LLM)in intelligent question-answering(Q&A)of ICH still need to be improved in international Chinese education scenarios.Therefore,this paper designs an intelligent Q&A system facing ICH in international Chinese education,and proposes a lightweight pathway for the coupling of knowledge graph and LLM.Firstly,taking three representative national-level ICH items as research subjects,entities are extracted and linguistically adjusted,and Protégé is adopted to construct the knowledge graph,which is then imported into Neo4j to form the graph database.Subsequently,natural language questions are mapped onto structured retrieval through Schema constraints,Few-shot examples and Cypher queries,so as to realize the coupling of knowledge graph and LLM.Finally,the quality evaluation of answers generated by the intelligent Q&A system is conducted through both objective indicators of knowledge coverage rate and subjective scores from teachers and students'questionnaires,in order to examine the performance differences between this system and conventional LLM.Reseach results indicate that the intelligent Q&A system significantly outperforms the conventional LLM in terms of knowledge coverage,accuracy,and applicability of answers,and shows particularly prominent performance in generation of factual knowledge and procedural knowledge.The lightweight pathway proposed in this paper substantially improves the accuracy and teaching applicability of ICH content generated by intelligent Q&A systems in international Chinese education,and provides an operational practical paradigm for the effective dissemination of ICH.

张露;彭成丽;杜应特

北京邮电大学 人文学院,北京 100876江南大学 人文学院,江苏 无锡 214000北京邮电大学 国际学院,北京 100876

社会科学

国际中文教育非物质文化遗产知识图谱大语言模型智能问答系统

international Chinese educationintangible cultural heritageknowledge graphlarge language modelintelligent Q&A system

《现代教育技术》 2026 (8)

97-108,12

本文受2024年中外语言交流合作中心国际中文教育研究课题"面向国际中文语篇理解的智能交互和虚拟情境融合促学的关键技术与应用评价研究"(项目编号:24YH05C)资助.

10.3969/j.issn.1009-8097.2026.08.010

评论