Yiran Liu, Le Gao

Yiran Liu

May 05, 2026

New liberal arts, Science and engineering universities, English + language intelligence, Interdisciplinary education, Micro-major.

Driven by the integration of the New Liberal Arts strategy and language intelligence technology, the interdisciplinary transformation of English majors in science and engineering universities has become essential. Focusing on the “Language Intelligence and Data Science” micro-major at Wuhan University of Technology, this study surveyed 24 students from the initial cohort using a questionnaire. Through reliability testing, descriptive statistics, cross-tabulation analysis, and Pearson correlation analysis, this study evaluated the curriculum effectiveness and student learning experiences. Findings indicate that while the curriculum generally aligns with the requirements of the New Liberal Arts, issues persist, including the insufficient contextualization of technical courses and a lack of tiered difficulty levels. Student learning is characterized by practical motivation, positive experiences, and differentiated skill levels. Furthermore, students with varying computer proficiencies and academic standings exhibit significantly different learning needs and challenges. A shortage of practical resources and an underdeveloped guidance system were identified as primary obstacles to program implementation. Based on these findings, this study proposes an integrated interdisciplinary innovation mechanism comprising four dimensions: curriculum, resources, guidance, and incentives. This framework provides an empirical reference for developing similar micro-majors and advancing the interdisciplinary transformation of English programs in science and engineering institutions.

© 2026, the Authors. Published by ISCCAC

This is an open access article distributed under the CC BY-NC license