现代教育技术2026，Vol.36Issue(4)：73-82,10.DOI:10.3969/j.issn.1009-8097.2026.04.008
多智能体提升研究生科研提问能力的实证研究
An Empirical Study on Multi-Agents Improving Postgraduates'Research Questioning Ability
摘要
Abstract
Research questioning ability is an important foundation for the cultivation of postgraduates'academic capabilities,and has a significant influence on the establishment of research directions and the improvement of research quality.However,current postgraduates generally face problems such as unclear concepts of research questions,lack of questioning strategies,and low quality of questions.Therefore,this paper first designed research questioning activities supported by multi-agents and developed the multi-agents research questioning tool"ZhiXue Yanyou".Subsequently,this paper adopted a combination of questionnaire surveys,expert scoring,and semi-structured interviews to conduct the pre-test and post-test quasi-experiment with unequal groups.The results showed students had a relatively high overall satisfaction with the use of"ZhiXue Yanyou";multi-agents can effectively improve students'research questioning ability,assisting them in mastering research question theoretical knowledge,applying questioning strategies,and improving question quality,but their role in supporting high-level cognitive processes such as question evaluation,judgment of question importance,and in-depth analysis of professional fields was limited.Finally,this paper conducted in-depth discussions from three aspects:adaptability of multi-agents,cognitive gap,and development of literacy,highlighting the application potential of multi-agents in the cultivation of postgraduates'research abilities,and providing valuable references for the optimization design and practical application of AI educational tools in the future.关键词
多智能体/科研提问能力/人机协同/"智学研友"Key words
multi-agents/research questioning ability/human-machine collaboration/"Zhixue Yanyou"分类
社会科学引用本文复制引用
刘明,杨闽,胡盈盈,廖剑,赵俊强..多智能体提升研究生科研提问能力的实证研究[J].现代教育技术,2026,36(4):73-82,10.基金项目
本文为2024年度国家自然科学基金面上项目"知识增强大语言模型的科学课教学问题智能生成方法研究"(项目编号:62477039)、2024年度重庆市教育委员会科学技术研究计划重点项目"个性化科学教育大语言模型的关键技术与应用示范研究"(项目编号:KJZD-K202400208)、2026年云南省哲学社会科学规划教育学项目"教育多智能体赋能云南中小学科技教育创新发展研究(项目编号:AC26003)的阶段性研究成果. （项目编号:62477039）
