Keywords
Interpreting pedagogy
Paradigm reconstruction
Human-machine collaboration
Technological ethics
Submitted : 2025-08-05
Accepted : 2025-08-20
Published : 2025-09-04
Abstract
This paper explores the paradigm reconstruction of interpreting pedagogy driven by generative AI technology. With the breakthroughs of AI technologies such as ChatGPT in natural language processing, traditional interpreting education faces dual challenges of technological substitution and pedagogical transformation. Based on Kuhn’s paradigm theory, the study analyzes the limitations of three traditional interpreting teaching paradigms, language-centric, knowledge-based, and skill-acquisition-oriented, and proposes a novel “teacher-AI-learner” triadic collaborative paradigm. Through reconstructing teaching subjects, environments, and curriculum systems, the integration of real-time translation tools and intelligent terminology databases facilitates the transition from static skill training to dynamic human-machine collaboration. The research simultaneously highlights challenges in technological ethics and curriculum design transformation pressures, emphasizing the necessity to balance technological empowerment with humanistic education.
References
Wang H, 2019, Development of Interpreting Technology in the AI Era: Concepts, Impacts, and Trends. Chinese Translators Journal, 40(6): 69–79.
Thomas S, 1962, The Structure of Scientific Revolutions. University of Chicago Press, Chicago.
Chen J, Ma M, 2019, Theoretical Basis and Objectives for Restructuring Foreign Language Teaching Paradigms in the Information Age. Foreign Language Audio-Visual Teaching, 185(2): 12–17.
Lin L, 2025, The Way of Viewing Education—Re-examining Herbart’s Proposition of “Pedagogy as a Science”. Journal of Educational Studies, 21(4): 58–70.
Chen G, 2015, Dewey’s Observations on Progressive Education—An Introduction to Progressive Education and Educational Science. Studies in Educational Development, 35(4): 1–5.
Chang L, 2021, Feasibility Analysis of Integrating Wagenschein’s Example Teaching Theory into Ideological and Political Education in Colleges and Universities. Journal of Honghe University, 19(5): 108–110.
Michael Polanyi, 1958, The Study of Man. University of Chicago Press, Chicago.
Hoffman R, 1997, The Cognitive Psychology of Expertise and the Domain of Interpreting. Interpreting, 2(1–2): 189–230.
Wang H, 2020, Research on the Application of Interpreting Technology in the AI Era. Intellectual Property Publishing House, Beijing.
Li Y, 2024, Cultivation of Core Competencies for Translation Talents from the Perspective of Human-AI Collaboration. Heilongjiang Education (Higher Education Research and Evaluation), 1447(1): 31–34.
Wang H, Liu S, 2021, Research on the Shift of Translation Technology in the AI Era. Foreign Language Teaching, 42(9): 87–92.
Zheng X, 2025, If We Do Not Reform, the Survival Space of Foreign Language Majors Will Only Narrow Further, visited on August 1, 2025, https://mp.weixin.qq.com/s?__biz=MzIyNDg0ODM5Nw==&mid=2247520814&idx=1&sn=2693c8c810bbf3ef1cd4ddcb1d329e3a&chksm=e910e151ffcef9013b3ec3a8f49ec88c09bc7fa55d5ceaebade99a580aab262150b6d81b067c&scene=27.
Zhang J, 2025, Design, Implementation, and Optimization of a Blended Foreign Language Autonomous Learning Model Assisted by AI Agents. Foreign Language World, 228(3): 29–37.
Gao Y, Ren D, 2023, Challenges and Countermeasures for the Construction of Translation Systems in the Era of Generative AI. Foreign Language Audio-Visual Teaching, 212(4): 9–15.
Sun S, Qi T, 2025, Research on Classroom Evaluation of Interpreter Training under the Human-AI-Student Collaboration Model. Modern Foreign Languages (Bimonthly), 48(5): 701–712.
Hu K, Gao L, 2024, Development of Foreign Language Disciplines in the Context of Large Language Models: Issues and Prospects. Foreign Language World, 220(2): 7–12.
Sun L, 2023, AI Era: Ethical Education of Language Ecology and Translation Teaching. Journal of South-Central Minzu University (Humanities and Social Sciences), 43(6): 165–172.
Wang H, 2021, Research on the Application of Translation Technology in the AI Era: Issues and Countermeasures. Chinese Translators Journal, 42(3): 84–88.