R语言分析赋能研究生数据分析素养课程建设OA
R Language Analysis Empowers Postgraduate Data Analysis Literacy Course Construction
为提升研究生培养过程中的数据分析能力,本文围绕R语言分析在高等教育中的应用,探讨如何构建面向研究生的数据分析课程体系.通过将 R 语言教学与生成式人工智能技术相结合,对课程内容进行系统规划,并提出具体建设路径.研究构建了基于需求牵引、能力导向与实践驱动的三维融合课程体系.教学试点实践显示,该课程的学生满意度达 95%,平均节省约 30%的问题解决时间,平时成绩与期末成绩均提升约 4 分,论文发表数量亦有所增加.同时,本文分析了当前面临的AI依赖风险及教学能力差异等挑战,并就课程智能化发展的路径与伦理治理提出了相关建议.
To enhance the cultivation of data analysis skills in graduate education,this paper explores the construction of a data analysis curriculum for postgraduate students by integrating R programming with generative artificial intelligence(AI).A systematic instructional plan and specific implementation measures are proposed,leading to the development of a three-dimensional integrated curriculum framework driven by demand,competency,and practice.Pilot teaching practices demonstrated a 95%student satisfaction rate,an average reduction of approximately 30%in problem-solving time,an average improvement of about 4 points in both regular assessments and final examinations,and an increase in the number of papers published.Furthermore,the study addresses current challenges such as over-reliance on AI and disparities in teaching competencies,offering recommendations for the future intelligent evolution of the curriculum and its ethical governance.
王伟;郑小惠
华侨大学工商管理学院 福建 泉州 362021华侨大学工商管理学院 福建 泉州 362021
信息技术与安全科学
教改课程体系数据分析研究生教育生成式人工智能
Educational ReformCurriculum SystemData AnalysisGraduate EducationGenerative AI
《福建电脑》 2026 (2)
97-102,6
本文得到2022年华侨大学研究生教育教学改革研究资助项目-研究生教育精品课程建设项目《研究生数据分析能力课程建设:R语言分析》(No.22YJG005)资助.
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