Application of Artificial Intelligence in the Course of Financial Big Data Analysis in Vocational Colleges and Innovation in Teaching Model
- DOI
- 10.2991/978-94-6463-916-2_70How to use a DOI?
- Keywords
- Artificial Intelligence; Financial Big Data Analysis; Vocational Colleges; Teaching Innovation; Pedagogical Models; Data Science Education
- Abstract
In the context of rapidly advancing technology and the increasing reliance on data-driven decision-making, Artificial Intelligence (AI) has emerged as a transformative tool in education, particularly in vocational training. This paper explores the application of AI in the course of “Financial Big Data Analysis” within vocational colleges. The integration of AI into this curriculum not only enhances the learning experience but also fosters innovation in teaching models. Through a combination of AI tools and big data analytics techniques, students are equipped with the skills necessary to navigate the complexities of modern financial data. This paper discusses the pedagogical approaches, AI-based tools, and innovative teaching strategies that can be adopted to improve learning outcomes in vocational education. Additionally, it examines the challenges and potential solutions for implementing AI-driven teaching in financial analysis courses.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Jingsong Peng PY - 2025 DA - 2025/12/22 TI - Application of Artificial Intelligence in the Course of Financial Big Data Analysis in Vocational Colleges and Innovation in Teaching Model BT - Proceedings of the 2025 4th International Conference on Public Service, Economic Management and Sustainable Development (PESD 2025) PB - Atlantis Press SP - 646 EP - 652 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-916-2_70 DO - 10.2991/978-94-6463-916-2_70 ID - Peng2025 ER -