The "English+Major" OBE Teaching Mode in the Context of New Engineering Education: A Case Study of Artificial Intelligence Majors
DOI: 10.23977/aduhe.2025.070313 | Downloads: 7 | Views: 631
Author(s)
Lun Wang 1, Jingyi Sun 1
Affiliation(s)
1 Jingdezhen Ceramic University, Jingdezhen, Jiangxi, China
Corresponding Author
Lun WangABSTRACT
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.
KEYWORDS
New Engineering Education, OBE, "English+Major", Artificial Intelligence MajorsCITE THIS PAPER
Lun Wang, Jingyi Sun, The "English+Major" OBE Teaching Mode in the Context of New Engineering Education: A Case Study of Artificial Intelligence Majors. Adult and Higher Education (2025) Vol. 7: 97-105. DOI: http://dx.doi.org/10.23977/aduhe.2025.070313.
REFERENCES
[1] Wang Ning. Taking the Construction of New Liberal Arts as an Opportunity to Build a World Literary Discourse System with Chinese Characteristics. Teaching in Chinese Universities, 2021, (8):10-16.
[2] Chen, X., et al. Medical Education Reform in China. The Lancet, 2023, 401(10387): e44-e46.
[3] Zhao Chunjiang. The Development Status and Future Prospects of Smart Agriculture. China Agricultural Abstracts--Agricultural Engineering, 2021, 33 (06): 4-8.
[4] Spady, W. G. Outcome-Based Education: Critical Issues and Answers. American Association of School Administrators, 1994.
[5] Biggs, J. & Tang, C. Teaching for Quality Learning at University. McGraw-Hill Education, 2011.
[6] Chan, C. K. Y. & Luo, J. An Outcome-Based Approach to Curriculum Renewal: The Case of Singapore National University’s Medical Programme (2019). Higher Education, 2019, 77(5): 881-897.
[7] Besterfield-Sacre, M., et al. Defining the Outcomes: A Framework for EC-2000 Assessment. Journal of Engineering Education, 2018, 107(1): 35-56.
[8] Fan Lina. Research on the Construction and Application of Academic English Teaching Mode Based on Content and Language Integration Learning. Modern English, 2025, (06): 13-15.
[9] Ji Xiuming, Zeng Chuncai. Several Balance Points and Moderation Issues in the Reform of Foreign Language Disciplines from the Perspective of New Liberal Arts. Contemporary Foreign Language Research, 2021, (04): 97-102.
[10] Huang Yuanbai. Research on the Development of English for Specific Purposes (ESP) Textbooks Based on the Guidelines for College English Teaching. Journal of Nanning Normal University (Philosophy and Social Sciences Edition), 2022, 43 (01): 74-81.
[11] Coyle, D. & Hood, P. & Marsh, D. CLIL: Content and Language Integrated Learning. Cambridge: Cambridge University Press, 2010.
[12] Brynjolfsson, Erik & Thrun, Sebastian. The Evolution of AI Education. Science, 2022, 378(6623): 865-867.
[13] Wang Xuan. Computer Research Institute. Report on Artificial Intelligence Talent Training at Beijing University. 2023.
[14] China Artificial Intelligence Society. Blue Book on the Development of China's Artificial Intelligence Education. 2023.
[15] Bersin, J. The Future of AI in Education. Harvard Business Review, 2023, 101(4): 56-63.
Downloads: | 20721 |
---|---|
Visits: | 1055132 |