Empowering Translation Pedagogy in the New Liberal Arts Era: An AI-TPACK Framework for Course Design and Digital Resource Construction in Corpus Processing

Situated within the macro-policy context of China’s “New Liberal Arts” mandate, this article conceptualizes and evaluates an innovative sixteen-week curriculum for undergraduate translation majors focused on advanced digital resource construction and corpus processing. Theoretically grounded in a synthesis of the Intelligent-TPACK (AI-TPACK) framework and the Production-Oriented Approach (POA), the course challenges traditional instructional sequencing by immersing students in localized translation deficits and the chaotic realities of data harvesting, equipping them with inductive mastery of data cleaning, tokenization, and cross-lingual sentence alignment. The pedagogical design moves beyond mere technical vocationalism by positioning students as active algorithmic auditors. By integrating critical discourse analysis into the human-computer interactive workflow, students are trained to explicitly interrogate, document, and mediate the linguistic hegemony and systemic biases inherent in commercial AI models. Employing a rigorous, mixed-methods evaluation utilizing Multidimensional Quality Metrics (MQM), this paper demonstrates how shifting the learner’s identity from a passive end-user to a critical language data architect cultivates the technological fluency, ethical grounding, and psychological resilience demanded by the contemporary language services industry.