更新时间:2026-06-30
Reconstructing foreign language teacher development under digital intelligence empowerment: Exploration and practice at Beijing Foreign Studies University
苏大鹏 ,  杨月    作者信息&出版信息
Foreign Language Education in China   ·   2026年6月30日   ·   2026年 9卷 第3期   ·   DOI:10.20083/j.cnki.fleic.2026.0034
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AI 摘要

1 Introduction

The profound adjustment of talent cultivation goals in foreign language education in the new era has shifted from instrumental language skills training to cultivating compound talents with patriotism, global vision, and professional competence. Digital-intelligent empowerment has become a critical pathway to achieve this transformation, yet it presents multiple challenges for foreign language teachers: the substitution effect of artificial intelligence on language skills teaching weakens teachers' professional identity; insufficient digital-intelligent literacy makes it difficult for teachers to guide AI in generating higher-order teaching content; the Western narrative bias of mainstream large language models imposes new demands on teachers' value discernment capabilities; and university evaluation systems that emphasize traditional indicators fail to incentivize teachers' investment in digital transformation. Based on this, the study takes BFSU's reform practices as a sample to explore feasible pathways for promoting foreign language teacher development through institutional innovation.

2 Realistic Motivations for Digital-Intelligent Empowerment of Foreign Language Teacher Development

This section discusses the dual dynamic mechanism of foreign language teacher development in the digital-intelligent era. External traction is manifested in the context of building a strong education country and the Global Civilization Initiative, where educational digitalization has risen to a national strategy, generative artificial intelligence has reshaped the production mode of linguistic knowledge, and foreign language education has been endowed with the strategic mission of international communication and mutual learning among civilizations, requiring teachers to possess both intelligent tool application capabilities and value guidance responsibilities. Internal drive stems from disciplinary structural transformation: research objects have shifted toward digital humanities and multimodal linguistic data, talent cultivation positioning has upgraded to compound competence development, while the existing teacher competence structure mismatches with these demands—empirical research shows that foreign language teachers' digital competence is generally at a medium level, with obvious shortcomings in digital teaching evaluation, and it shows a reverse correlation with teaching experience, with the western region significantly lagging behind the eastern region; BFSU practices also reveal the coexistence of senior teachers' pressure in technology adaptation and young teachers' insufficient experience in pedagogical integration, urgently requiring the construction of tiered training and collaborative mechanisms.

3 Four-in-One Collaborative Mechanism: Practical Pathways for Digital-Intelligent Empowerment of Foreign Language Teacher Development

Taking Beijing Foreign Studies University as an example, this section elaborates on the practical pathway of "four-in-one collaborative mechanism" for digital-intelligent empowerment of foreign language teacher development. In the dimension of value guidance, the university established the concept of "technology empowerment, education-oriented" through the Artificial Intelligence Construction Plan (2025–2027), guiding teachers to recognize that digital-intelligent transformation is an inevitable requirement for disciplinary evolution and to assume roles as learning facilitators and human-machine collaborative organizers. In the dimension of platform support, 289 smart classrooms were built, a digital resource ecosystem was constructed, and intelligent assessment and AI teaching assistant systems were introduced, achieving teaching digitalization and visualization, which was selected as a typical case by the Ministry of Education. In the dimension of training empowerment, a tiered and classified training system integrating research and training was established, helping teachers grow from "technology novices" to innovative teachers through workshops, virtual teaching and research offices, and teaching competitions. In the dimension of evaluation-driven development, digital portraits of teacher development were constructed based on big data, digital literacy was incorporated into assessment and evaluation, and incentive measures such as Smart Teaching Model Teachers were established, promoting the transformation of teacher development from "being asked to change" to "wanting to change." The four dimensions support each other and advance cyclically, forming a systematic pathway covering concept renewal, environment construction, competence enhancement, and incentive guarantee.

4 Three-Stage Leap: Phased Achievements of Digital-Intelligent Empowerment Reform

The phased achievements of BFSU's digital-intelligent empowerment reform have simultaneously emerged at three levels: teaching, research, and social service. At the teaching level, through AI-empowered tiered training, teachers' roles have shifted from language knowledge transmitters to learning process organizers and human-machine collaborative designers; Rain Classroom, large language models, and intelligent assessment tools have achieved normalized application; the "Waixiaotong" intelligent service platform has cumulatively served nearly 10,000 teachers and students; 18 cross-college smart courses have been approved for construction; digital-intelligent integrated instructional design won the first prize in the Beijing University Teachers' Teaching Innovation Competition; digital-intelligent teaching scenarios such as remote consecutive interpreting training rooms have been successively built, initially forming a human-machine collaborative teaching organization mode. At the research level, relying on the "Artificial Intelligence and Human Languages Key Laboratory," nearly 800 teachers participated in corpus construction and annotation for 101 languages, promoting teachers' transformation from textual interpretation to digital humanities research, producing multiple representative academic works, with digital humanities literacy becoming a core competence of foreign language teachers. At the social service and international influence level, the university took the lead in releasing industry reports such as the Global National Translation Capacity Index, was selected into the Ministry of Education's Philosophy and Social Sciences Innovation Team, the UMOOCs platform covers more than 600 courses in 18 languages and radiates to over 400 universities nationwide, hosted international conferences on language intelligent teaching, founded the international journal *Journal of Language Intelligent Teaching*, the reform experience was selected as a typical case at the World Digital Education Conference and jointly initiated the SCO National Digital Education Alliance, achieving expansion from internal reform to external radiation.

5 Conclusion

This section elaborates that against the background of foreign language education transformation in the digital-intelligent era, BFSU has promoted teachers' transformation from language skills trainers to compound educators integrating technology and humanities through constructing a "value guidance—platform support—training empowerment—evaluation-driven" four-in-one closed-loop pathway, emphasizing that technology aims to liberate teachers rather than diminish human roles, while pointing out challenges such as preventing students' over-reliance on AI and adhering to data ethics boundaries, calling for maintaining educational resolve to explore more universally applicable development pathways.

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