Answers are grounded in this paper and cite their sources.
Investigates cognitive shifts and identity changes in translation education, suggesting AI integration is transformative.
Purpose This paper investigates the integration of artificial intelligence (AI) into classical Chinese-English translation education, focusing on its role in fostering cognitive and identity transformation among learners. It addresses a gap in empirical research on how structured AI mediation shapes translation pedagogy in culturally demanding domains.Design/methodology/approach A six-week pedagogical intervention was conducted with second-year English majors at a public university in East China. Data were collected through in-depth interviews and reflective journals, and analyzed using reflexive thematic analysis within a sociocultural and dialogic theoretical framework.Findings The analysis reveals three interrelated processes. First, learners’ cognitive paradigm shifted from literal decoding to cultural translation – a transition riddled with uncertainty and sustained by reasoned decision-making. Second, AI served dual functions as mirror and scaffold, yet these were often in tension, requiring epistemic vigilance. Third, learners’ professional identity was reconstructed from language converters to cultural mediators – an emerging identity consolidated through ongoing negotiation.Originality This study provides empirical evidence of how structured AI integration mediates cognitive and identity transformation in classical Chinese-English translation. It advances theoretical understanding of AI’s mirror and scaffold functions within a dialogic space and offers pedagogical implications for cultivating translators as critical curators in the AI era.
No takes yet. Share an insight, caveat, or question.
Yang Hao (2026) studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: