A study on the application of Project-Based Learning (PBL) in big data practice courses—Taking “Financial Big Data Analysis” as an example
项目式学习（PBL）在大数据实践课程中的应用研究——以《金融大数据分析》为例

摘要

为解决《金融大数据分析》传统实践课教学场景割裂、学生学习主动性不足、实操能力培养薄弱的问题，本文构建以真实金融行业项目为核心的PBL教学模式，采用问卷调研法结合课程成绩分析，选取65名学生分为实验组与对照组开展实证研究。结果显示，实验组学生学习主动性、金融实操能力、课堂满意度评分及课程成绩，均显著高于对照组，且独立样本t检验表明差异具备极显著统计学意义。研究表明，PBL教学模式能够有效破解传统教学痛点，提升学生综合实践能力，可为高校大数据专业跨学科实践课程改革提供参考。

Abstract

To address the problems of fragmented teaching scenarios, insufficient student initiative, and weak practical skills development in traditional practical courses such as Financial Big Data Analysis this paper constructs a Project-Based Learning (PBL) teaching model centered on real financial industry projects. Using a questionnaire survey combined with course performance analysis, 65 students were selected and divided into an experimental group and a control group for empirical research.
Results showed that the experimental group students had significantly higher learning initiative, financial practical skills, classroom satisfaction scores, and course grades than the control group, and the independent samples t-test indicated that the differences were statistically significant. The study demonstrates that the PBL teaching model can effectively address the pain points of traditional teaching, improve students' comprehensive practical abilities, and can provide a reference for the reform of interdisciplinary practical courses in big data majors in universities.