Proceedings of the 5th International Conference on Internet, Education and Information Technology (IEIT 2025)

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A Study on Satisfaction with the Blended Teaching Model for Financial Big Data Courses in Chinese Vocational Colleges

Authors
Hui Sui1, Ying Sui2, *, Jirui Dong1, Shanshan Cheng1
1Jinan Preschool Education College, Jinan, 250307, P.R. China
2Shandong Police College, Jinan, 250200, P.R. China
*Corresponding author. Email: suiy@sdpc.edu.cn
Corresponding Author
Ying Sui
Available Online 31 July 2025.
DOI
10.2991/978-94-6463-803-5_17How to use a DOI?
Keywords
Blended Learning; Financial Big Data Course; Satisfaction; Vocational Education
Abstract

This study examines the satisfaction levels of Chinese vocational college students regarding the blended teaching model employed in financial big data courses. Through a questionnaire survey and the application of partial least squares structural equation modeling (PLS-SEM), this research investigates its impact on student satisfaction (S) across three dimensions: learning (L), teaching (T), and Course (C). The findings indicate that positive learning attitudes and behaviors (LA&LB), effective teaching methods (TM), and well-structured course content significantly enhance students’ satisfaction with the blended learning model. Among the various factors, the impact of TM stands out significantly. Furthermore, an exceptional platform design (PD) substantially enhances the learning experience. Based on the data presented, this study not only confirms the correlation among various factors but also proposes specific recommendations to enhance the blended learning model of financial big data courses in vocational institutions. The findings of this research hold significant implications for advancing educational technology and improving teaching quality.

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.

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Volume Title
Proceedings of the 5th International Conference on Internet, Education and Information Technology (IEIT 2025)
Series
Atlantis Highlights in Social Sciences, Education and Humanities
Publication Date
31 July 2025
ISBN
978-94-6463-803-5
ISSN
2667-128X
DOI
10.2991/978-94-6463-803-5_17How to use a DOI?
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

risenwbib
TY  - CONF
AU  - Hui Sui
AU  - Ying Sui
AU  - Jirui Dong
AU  - Shanshan Cheng
PY  - 2025
DA  - 2025/07/31
TI  - A Study on Satisfaction with the Blended Teaching Model for Financial Big Data Courses in Chinese Vocational Colleges
BT  - Proceedings of the 5th International Conference on Internet, Education and Information Technology (IEIT 2025)
PB  - Atlantis Press
SP  - 168
EP  - 175
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-803-5_17
DO  - 10.2991/978-94-6463-803-5_17
ID  - Sui2025
ER  -