A Study on Innovative Models for Cultivating English Majors in the Guangdong-Hong Kong-Macao Greater Bay Area under the Digital Economy Context
In the context of rapid digital economic development, the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) faces increasing demands for interdisciplinary and application-oriented English talent. Traditional English major training models — centered solely on linguistic knowledge — are no longer sufficient to meet the evolving needs of the digital labor market. This study investigates the current status, challenges, and optimization pathways of English major talent cultivation in the GBA, with a focus on aligning educational outcomes with the demands of the digital economy. Employing a mixed-method approach that combines questionnaire surveys with literature review and comparative analysis, the research gathered responses from 920 participants, including students, educators, and industry professionals. Findings reveal significant gaps in digital literacy, industry-specific language application, and practical training. Based on the analysis, the paper proposes an innovative talent cultivation model featuring diversified curriculum design, enhanced industry-education integration, and pedagogical innovation. Furthermore, it puts forward comprehensive policy recommendations and institutional reform strategies to support systemic transformation. This study not only offers theoretical guidance for curriculum and policy development but also provides practical implications for building a forward-looking and industry-responsive English education system in the GBA.
Authors
- Hongming Yuan (ORCID: https://orcid.org/0000-0003-4794-4108)
- You Chen (ORCID: https://orcid.org/0000-0001-8232-8840)
Institutions
- Guangdong University of Foreign Studies (CN)
- Dongguan University of Technology (CN)
Publication Details
- Journal
- Education insights.
- Published
- 2025-04-18
- DOI
- https://doi.org/10.70088/cxxe5a85
- Citations
- 1
- Primary Topic
- E-commerce and Technology Innovations
- Type
- article
- Field-Weighted Citation Impact
- 2.45
Funders
- Guangdong University of Science and Technology