中医类专业研究生生成式人工智能应用现状调查分析OA
Survey and analysis on the application status of generative artificial intelligence among graduate students in Traditional Chinese Medicine majors
目的 了解中医类专业研究生生成式人工智能使用现状,为人工智能技术融入中医药高等教育提供实证依据,推动中医药教育与现代技术的融合.方法 以中医类专业研究生为研究对象,采用问卷调查法收集数据.通过SPSS 29.0软件对475份有效问卷进行统计分析,运用描述性统计呈现使用现状,通过独立样本t检验和单因素方差分析探讨性别、年级、专业方向等因素对使用行为的影响.结果 在回收的475份有效问卷中,有90.30%的受访研究生使用过人工智能工具,其中73.20%形成稳定使用习惯.在未使用过生成式人工智能的研究生群体中,80.43%的研究生听说过人工智能在专业领域的应用,未使用的原因主要是不了解使用方法及缺乏软件获取途径.对于使用过生成式人工智能的研究生群体,ChatGPT是最常用的工具,功能应用以写作润色和语言翻译为主,科研学习和课程学习是其最常见的使用场景.统计结果表明,性别、年级、专业方向等因素在不同程度上影响着研究生使用生成式人工智能的情况.此外,研究生对学校的主要期待集中在提供技术支持和获得软件途径,同时,构建中医类专业领域的人工智能模型是被提及最多的建议.结论 中医类专业研究生对生成式人工智能应用需求较高,但仍面临使用方法不规范和缺乏平台支持等问题,高校应强化技术支撑,人工智能企业需研发中医类专业化模型,共同解决现有使用困境,推动中医药教育与现代技术的深度融合.
Objective To investigate the current use of generative artificial intelligence(GenAI)among graduate students in Traditional Chinese Medicine(TCM)majors,in order to provide empirical support for integrating GenAI technologies into TCM higher education,and to promote the convergence of TCM education with modern technology.Methods Targeting TCM graduates,data were collected through questionnaire surveys.Statistical analysis of 475 valid responses was conducted using SPSS 29.0 software,employing descriptive statistics to present the current usage and independent samples t-tests and one-way ANOVA to explore the influence of variables such as gender,grade,and specialization on usage behavior.Results With 475 valid responses collected.The results showed that 90.3%of the respondents had used GenAI tools,and 73.2%of whose had developed consistent usage habits.Among non-users,80.43%were aware of GenAI applications in professional fields,with the main barriers to usage being a lack of understanding regarding their application and limited access to software.Among users,ChatGPT was the most commonly used tool,primarily used for writing refinement and language translation.The most common usage scenarios were research and learning activities.Statistical results indicated that variables such as gender,grade,and specialization had varying degrees of influence on GenAI usage patterns.Additionally,respondents expressed their main expectation for universities to offer technical support and ensure access to relevant software,with the development of GenAI models specifically designed for the TCM disciplines being the most frequently suggested.Conclusion While TCM graduates have a high demand for AI tools,they face challenges such as non-standardized usage practices and insufficient platform support.To address these issues,universities should strengthen technical support,and GenAI enterprises need to develop specialized models for TCM to jointly address the existing challenges and facilitate the deep integration of TCM education with modern technologies.
张李潇;王天宇;郭明
中国中医科学院西苑医院 北京 100091||国家中医心血管病临床医学研究中心 北京 100091中国中医科学院西苑医院 北京 100091||国家中医心血管病临床医学研究中心 北京 100091中国中医科学院西苑医院 北京 100091||国家中医心血管病临床医学研究中心 北京 100091
社会科学
生成式人工智能中医类专业研究生研究生教育
generative artificial intelligence(GenAI)Traditional Chinese Medicine graduate studentsgraduate education
《中医教育》 2026 (3)
14-20,7
中国中医科学院西苑医院"青师计划"(No.2022QS-12)
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