创新创业理论研究与实践 ›› 2023, Vol. 6 ›› Issue (12): 30-33.

• 教学革新 • 上一篇    下一篇

经济统计学专业大数据分析课程教学实践探究——基于案例分享式教学

孙红英, 刘娟, 刘佳   

  1. 广东财经大学 经济学院,广东广州 510320
  • 出版日期:2023-06-25 发布日期:2023-09-18
  • 作者简介:孙红英(1979—),女,山东菏泽人,博士,副教授,研究方向:经济统计与计量分析、供应链管理,电子邮箱:shy_1124@sina.com。
  • 基金资助:
    广东财经大学教育教改2022年度项目“基于政校企深度融合的新商科实验教学管理模式研究——以经济统计专业为例”(2022134); 广东财经大学教学发展示范教师2022年度项目“‘以赛促学、以赛促练、以赛促教’模式在经管类统计学课程教学中的应用”(2022FD02); 2020年度广东省高等教育教学改革项目“混合教学中‘统计学’线上线下一体化设计研究”

Teaching Research of Big Data Analysis for Economic Statistics Major ——Based on Case Sharing Teaching

SUN Hongying, LIU Juan, LIU Jia   

  1. The Faculty of Economics, Guangdong University of Finance and Economics, Guangzhou Guangdong, 510320, China
  • Online:2023-06-25 Published:2023-09-18

摘要: 通过案例分享教学实践,以财经类院校经济统计学专业本科大数据分析课程教学为研究对象,针对经济统计学专业学生在大数据分析课程学习中存在的问题,阐述了该课程教学改革的必要性,提出以“优化内容+案例分析+软件实现”案例分享式教学为主、理论教学为辅的创新教学方法。结合全国大学生统计建模大赛、大学生数学建模竞赛等赛事数据,构建包含4个模块的教学内容框架,通过课程教学的案例分享实践,对实验教学模式提出了一定的见解。教学实践证明,上述教学方法能够激发学生自主学习的意愿,提升学生的学习兴趣,有助于培养学生的大数据思维、创新思维和知识综合运用能力。

关键词: 财经类院校, 经济统计学专业, 大数据分析课程, 教学实践, 案例分享, 实验教学模式

Abstract: Through the case sharing teaching practice, taking the teaching of big data analysis for undergraduates majoring in economic statistics in financial and economic colleges as the research object, aiming at the problems existing in the course of big data analysis for the students majoring in economic statistics, this paper expounds the necessity of the teaching reform of this course, and puts forward innovative teaching method of "optimizing content + case analysis + software realization", which is mainly case-sharing teaching and supplemented by theory teaching. Combined with the data of national college students' statistical modeling competition and college students' mathematical modeling competition, this paper constructs a teaching content framework with four modules, and puts forward some opinions on the experimental teaching mode through the case sharing practice of course teaching. Teaching practice has proved that the above teaching methods can stimulate students' autonomous learning, enhance students' interest in learning, and help to cultivate students' big data thinking, innovative thinking ability and knowledge comprehensive application ability.

Key words: Financial colleges, Economic statistics, Big data analytics, Teaching practice, Case sharing, Experiment teaching mode

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