Research on the Influencing Factors of Specialty Identity of Blockchain Technology Application in Higher Vocational Colleges Based on Structural Equation Modeling
- DOI
- 10.2991/978-94-6463-417-4_18How to use a DOI?
- Keywords
- structural equation modelling; blockchain; higher vocational colleges; specialty identity
- Abstract
This study constructed a model of blockchain specialty identity using structural equation modelling by randomly sampling students from a higher vocational college and analyzed the role relationship and influence effect of each element in the model. The findings show that specialty emotion, specialty behavior, specialty goal, and specialty awareness all have a direct positive influence on blockchain specialty identity. Among these factors, specialty behavior has the greatest influence, followed by specialty emotion. Therefore, this study verifies the conclusions of scholar BrickSon’s research related to college students’ specialty identity and provides a theoretical basis for the construction and talent cultivation of blockchain technology application majors.
- 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 - Chang Xu AU - Mohamad Nizam Bin Ayub PY - 2024 DA - 2024/05/07 TI - Research on the Influencing Factors of Specialty Identity of Blockchain Technology Application in Higher Vocational Colleges Based on Structural Equation Modeling BT - Proceedings of the 2024 5th International Conference on Big Data and Informatization Education (ICBDIE 2024) PB - Atlantis Press SP - 197 EP - 208 SN - 1951-6851 UR - https://doi.org/10.2991/978-94-6463-417-4_18 DO - 10.2991/978-94-6463-417-4_18 ID - Xu2024 ER -