The Digital Intelligent Cultivation of Cross-border E-commerce Talents based on the Benchmark Regression Model

• Published in: SHS web of conferences 2024, Vol.190, p.3003
• Main Author: Wang, Chenggang
• Format: Article
• Language: English
• Subjects: Distance learning; Electronic commerce; Teaching
• ISSN: 2261-2424; 2416-5182; 2261-2424
• DOI: 10.1051/shsconf/202419003003

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.