Improving the Quality of English Talents Cultivation in Chinese Private Colleges and Universities in the Data-driven AI Age

Abstract

The Data-driven AI Age has become one of the main driving forces for nowadays’ social development. How higher education grasp the features of this digital era, seize opportunities, and meet challenges has already attracted most scholars’ attention. The education of English talents in private colleges and universities in China is facing problems such as outdated teaching methods, weak willingness for teaching reform, lack of effective cooperation among teaching management departments, weak awareness and ability of students’ autonomous learning, etc. This research will reveal the issue of in English talents education in 5 private colleges and universities in China through questionnaires, interviews and NLP (natural language processing) with teachers and students. In connection with the current problems found, this study proposes three paths from teaching, management, and students’ perspectives. The research findings suggest that with the benefit of the Data-driven AI Age, improving teachers’ information technology skills in teaching, strengthening departments’ collaboration in teaching management, and enhancing students’ ability to learn independently can effectively solve the existing problems, thus improving the quality of education of English majors in private colleges and universities in China.