Issue |
SHS Web Conf.
Volume 190, 2024
2024 International Conference on Educational Development and Social Sciences (EDSS 2024)
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Article Number | 03003 | |
Number of page(s) | 5 | |
Section | Intelligent Technology Development and Talent Cultivation | |
DOI | https://doi.org/10.1051/shsconf/202419003003 | |
Published online | 18 April 2024 |
The Digital Intelligent Cultivation of Cross-border E-commerce Talents based on the Benchmark Regression Model
School of Economics and Administration, Heilongjiang University, Harbin, 150006, China
With the expansion of the popularity of digital intelligent, cross-border e-commerce talent training process is affected by many factors. The influence of these factors on the training of cross-border ecommerce talents under the digital intelligent enabling system is sustainable and complex. In order to clarify the influencing process of relevant factors, we conducted research by literature review, correlation test, common method bias test and benchmark regression method. The results are as follows: (1) Students’ autonomous online learning efficiency, teachers’ classroom digital intelligent teaching ability, digital intelligent teaching scenarios, and digital intelligent teaching management level are all important factors that sustainably affect the training of cross-border e-commerce talents. (2) The positive development of these influencing factors could sustainably promote the improvement of cross-border e-commerce talent training quality. (3) The degree of sustainability impact on the quality of cross-border e-commerce talent training, in order from strong to weak, is digital intelligent teaching scenario, students’ autonomous online learning efficiency, teachers’ classroom digital intelligent teaching ability, digital intelligent teaching management level.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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