Research on the Development and Practice of Programming Design Courses for Higher Vocational Finance and Economics Majors Based on Computational Thinking Cultivation -in case of Application of Python in Finance

Authors

  • Yi Peng School of Economics, Shenzhen Polytechnic University, Shenzhen, 518055, China
  • Yanan Chen School of Management, Guangzhou City University of Technology, Guangzhou, 510800, China

DOI:

https://doi.org/10.70767/jmetp.v1i3.466

Abstract

This study takes the course Application of Python in Finance as a case example, utilizing a project-based teaching model to develop vocational finance program design courses that can effectively enhance students' computational thinking skills and programming abilities to meet the demands of future career development. The study employs a pre-test and post-test design to assess the students' progress in computational thinking and programming abilities before and after the course. The results show that the Application of Python in Finance course significantly enhanced students' programming abilities and multiple dimensions of computational thinking, including problem decomposition, pattern recognition, algorithm design and implementation, as well as testing, evaluation, and optimization.

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Published

2025-02-14

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Section

Articles