Developing and Implementing an Interdisciplinary Education Model for English Majors in the Digital Intelligence Era

This study aimed to design and implement a blended interdisciplinary learning program for senior English majors in China, which integrates artificial intelligence (AI) assistance. The program focused on relevant themed micro courses, supplemented by real-time guidance from intelligent tools, real-life case exercises, group collaborative discussions, and real-time online interactive support from mentor teams. A comparative teaching experiment was conducted on selected classes over two complete semesters. Students who participated in the experiment voluntarily registered for the series of courses online, while students in parallel classes who did not take the electives followed their regular curriculum. Through systematic collection and analysis of questionnaire feedback and in-depth interviews with students in the experimental group and corresponding employers, the results showed that the experimental group generally reported that this model significantly strengthened their competencies in the use of artificial intelligence tools, applied English skills, and problem-solving in multiple fields, effectively enhancing their workplace adaptability and employability. As a result, many students successfully secured positions that were highly matched with their majors and offered better salaries. In contrast, the experimental group was significantly better than the control group in terms of job–major matching rate, overall evaluation by employers, and satisfaction with starting salary levels. The future curriculum reform of English majors in universities could highlight the actual needs of the job market, actively integrate practical skills and interdisciplinary knowledge modules of artificial intelligence, in order to improve students' interdisciplinary employment competitiveness and achieve high-quality career development.