The "English+Major" OBE Teaching Mode in the Context of New Engineering Education: A Case Study of Artificial Intelligence Majors
Guided by the construction of New Engineering Education and the concept of OBE (Outcome-Based Education), this paper constructs an integrated teaching mode of "English+major" based upon the teaching practice of artificial intelligence majors, aiming to cultivate compound talents with both English proficiency and professional expertise in artificial intelligence. The study first reviews the development characteristics of New Engineering Education in the context of the "Four New Education's", pointing out that cross-integration, industry-education collaboration, and international vision are future trends; then it sorts out the core principles and implementation steps of the OBE educational philosophy, emphasizing the reverse design of courses based on learning outcomes. The article proposes a five-layer structure for the "English+artificial intelligence" OBE teaching mode: the target layer sets the output of language and professional composite abilities; the method layer adopts constructivist teaching, project-based learning, and case teaching; the tool layer integrates online and offline resources and AI-assisted platforms; the output layer refines measurable indicators such as vocabulary, reading, writing, and translation; and the evaluation layer dynamically tracks learning outcomes through formative and summative assessments. Teaching practice shows that this mode can effectively enhance students' academic English application abilities for artificial intelligence majors and their interest in learning English, providing a replicable and scalable paradigm for universities to promote college English teaching reform in the context of New Engineering Education.
Publication Details
- Journal
- Adult and Higher Education
- Published
- 2025-01-01
- DOI
- https://doi.org/10.23977/aduhe.2025.070313
- Primary Topic
- Geochemistry and Geologic Mapping
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Division of Graduate Education