A “T-S-M” Interactive Teaching Model for Teaching the Translation of Discourses with Chinese Characteristics from Report to the 20th National Congress of CPC: A DTS Perspective on Cultivating Knowledge, Competence and Values

Abstract

In the era of generative artificial intelligence, it has become a major challenge for translation pedagogy to accurately translate and effectively disseminate the “discourses with Chinese characteristics” embedded in classic political and theoretical literature. From the perspective of Descriptive Translation Studies (DTS), this paper proposes a “Teacher-Student-Machine” (T-S-M) interactive teaching model. By using the characteristic discourses from Report to the 20th National Congress of the Communist Party of China (CPC) as core material, this research places the teacher (facilitator), student (constructor), and machine/AI (collaborator) within a new, dynamic, and interactive educational ecosystem. Through a three-dimensional analytical framework of “Product-Process-Function,” the model guides students to develop their Human-AI Interactive Negotiation Competence (HAINC) by making multi-dimensional comparisons among their own translations, machine translations, and authoritative translations. This model effectively transforms theoretical knowledge of translation into a cognitive tool for students to solve complex problems. By tracking and reflecting on the human-machine interaction process, it significantly enhances students' higher-order competencies such as critical thinking and problem-solving. Furthermore, through the practice of translating sensitive discourses, it guides students to deeply understand the national stance, thereby achieving an organic integration of knowledge transmission, competence cultivation, and value shaping. This provides an effective practical solution for cultivating high-quality, new-era translation talent capable of telling China's story well.