Digital Transformation in Vocational Education: Challenges, Strategies, and an Experimental Proposal
- DOI
- 10.2991/978-94-6463-242-2_79How to use a DOI?
- Keywords
- Digital Transformation; Vocational Education; ICT Integration; Big Data Analytics; Pedagogical Innovation
- Abstract
In our rapidly evolving society, the digital revolution has significantly restructured every sector, with education being no exception. This discourse delves into the digital transformation impacting vocational education, identifying inherent challenges, proposing strategic solutions, and introducing an experimental model to substantiate the benefits of this shift. The discussion encompasses topics such as infrastructure constraints, pedagogical training, the enhancement of learner autonomy, innovative assessment, and stringent data protection. We also highlight the integration of Information and Communication Technology (ICT) and big data analytics in our methodology. The proposed experimental model contrasts traditional pedagogical techniques with a digitally evolved curriculum, aiming to provide concrete evidence of the advantages conferred by digital transformation in vocational education.
- Copyright
- © 2024 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 - Yanping Zhu AU - Haiwei Zuo AU - Yun Chen PY - 2023 DA - 2023/09/22 TI - Digital Transformation in Vocational Education: Challenges, Strategies, and an Experimental Proposal BT - Proceedings of the 2023 4th International Conference on Artificial Intelligence and Education (ICAIE 2023) PB - Atlantis Press SP - 643 EP - 650 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-242-2_79 DO - 10.2991/978-94-6463-242-2_79 ID - Zhu2023 ER -