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

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Effects of Data-Driven Online Teaching Process Optimization on Vocational College Students’ Acquisition of Professional Skills in the Age of Digital Intelligence

Authors
Qin Zhong1, 2, *
1School of Digital Media, Chongqing Business Vocational College, Chongqing, 401331, China
2Shinawatra University, Doctor of Philosophy Education Faculty of Education, Mueang Pathum Thani, Thailand
*Corresponding author. Email: 1024648383@qq.com
Corresponding Author
Qin Zhong
Available Online 31 July 2025.
DOI
10.2991/978-94-6463-803-5_77How to use a DOI?
Keywords
Age of Digital Intelligence; Data-Driven Online Teaching Process Optimization; Vocational College Students; Acquisition of Professional Skills
Abstract

Data-driven optimization of the online teaching process is achieved through real-time monitoring of learning situations and dynamic adaptation of resources, aiming to enhance the practicality and job-fit of vocational students’ professional skills. This project takes data-driven optimization of the online teaching process as the independent variable and the acquisition effect of vocational students’ professional skills as the dependent variable. Through data collection and analysis techniques, personalized teaching strategy adjustments, multi-modal resource development and intelligent adaptation, and the reconfiguration of teaching management processes, it directly acts on the analysis of the students’ skill acquisition process. It quantitatively tracks the level of professional skills mastered by vocational students, their career competitiveness, and their ethical awareness, and concludes that data-driven precise, personalized, and scenario-based teaching intervention significantly improves the accuracy and practicality of vocational students’ professional skills training. However, it requires multi-dimensional collaboration of technology, organization, and ethics to break through bottlenecks such as data silos and humanistic deficiencies.

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_77How 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  - Qin Zhong
PY  - 2025
DA  - 2025/07/31
TI  - Effects of Data-Driven Online Teaching Process Optimization on Vocational College Students’ Acquisition of Professional Skills in the Age of Digital Intelligence
BT  - Proceedings of the 5th International Conference on Internet, Education and Information Technology (IEIT 2025)
PB  - Atlantis Press
SP  - 789
EP  - 805
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-803-5_77
DO  - 10.2991/978-94-6463-803-5_77
ID  - Zhong2025
ER  -