创新创业理论研究与实践 ›› 2024, Vol. 7 ›› Issue (8): 11-17.

• 理论研究 • 上一篇    下一篇

新文科理念下跨学科实践课程教学效果影响因素及优化路径研究——以财务大数据分析课程为例

王勇   

  1. 湛江科技学院 会计学院,广东湛江 524000
  • 出版日期:2024-04-25 发布日期:2024-07-17
  • 作者简介:王勇(1980—),男,山西长治人,在读博士研究生,副教授,研究方向:民办高等教育、教学与教师发展。
  • 基金资助:
    广东省高等教育学会“十四五”规划2021年度高等教育研究课题一般项目“独立学院转设后高质量内涵发展研究”(21GYB73); 广东省高等学校教学管理学会2021年度课程思政建设项目“财务大数据分析”(X-KCSZ2021256); 湛江科技学院2022年第二批校级本科教学质量和教学改革工程项目“数智化复合型国际会计人才培养创新班”(ZLGC-2022559)、“数智化财会课程群虚拟教研室”(ZLGC-2022553); 2023年度广东省本科高校教学质量与教学改革工程建设项目“数智化复合型国际会计人才培养创新班”(粤教高函〔2024〕9号-427)

Research on the Influencing Factors and Optimization Path of Interdisciplinary Practice Course Teaching Effect under the New Liberal Arts Concept—Take Financial Big Data Analysis Course as an Example

WANG Yong   

  1. School of Accounting, Zhanjiang University of Science and Technology, Zhanjiang Guangdong, 524000, China
  • Online:2024-04-25 Published:2024-07-17

摘要: 财务大数据分析课程作为财会类专业的一门跨学科专业课程,研究其教学效果与影响因素对培养合格的新文科人才有着重要的意义。该文采用问卷调查及访谈的方法,从师生的视角研究了学生对教学效果的感知满意度及其影响因素,分析结果显示:教学方式、学习动机、教学环境对教学效果有着显著的影响,而教学水平、学习行为、自主学习与教学效果的关系不显著;通过对数据呈现的统计结果进行规范分析,提出在未来的课程建设中应该注意教学方式的有效改革、课程价值的引导以及教学网络环境的改善,通过激励的方式培养学生良好的学习行为习惯。

关键词: 新文科, 跨学科, 实践课程, 教学效果, 课程建设, 财务大数据分析

Abstract: The course of financial big data analysis, as an interdisciplinary course in accounting and finance majors, holds significant importance in cultivating qualified new talents in the humanities. This study investigates the teaching effectiveness and influencing factors of the course. Utilizing questionnaire surveys and interviews, the research examines students'perceptions of teaching effectiveness and its influencing factors from the perspectives of both teachers and students. The analysis reveals that teaching methods, learning motivation, and teaching environment significantly influence teaching effectiveness. However, the relationship between teaching proficiency, learning behaviors, independent learning, and teaching effectiveness is not significant. Following a normative analysis of the statistical results, suggestions for future course development include attention to effective reforms in teaching methods, guidance on course values, and improvements in the teaching network environment. Moreover, it is crucial to cultivate positive learning habits among students through incentivization.

Key words: New liberal arts, Interdisciplinary, Practical courses, Teaching effect, Curriculum construction, Financial big data analysis

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