Pedagogic Buffering: Designing AI-Resilient Translation Curriculum to Sustain Learners Professional Identity Formation
Abstract
a professional identity crisis among learners. The teaching buffer mechanism supports identity formation through cognitive mediation, skill
transfer, and emotional support, framed within a bufferadaptationreconstruction model. Course design emphasizes technical compatibility, professional boundary reinforcement, and identity practice, aiming to cultivate translators with AI collaboration abilities and humanistic
qualities to meet the demands of industry transformation.
Keywords
Full Text:
PDFReferences
[1] The Business Research Company Offers Robo Taxis Market Growth Analysis 2024-2028[J]. Manufacturing Close - Up, 2024.
[2] Exactitude Consultancy: Medical Software Market Expected to Surpass $120 Billion by 2034[J]. Wireless News, 2025.
[3] Prisco D D, Strangio D. Technology and financial inclusion: a case study to evaluate potential and limitations of Blockchain in emerging
countries[J]. Technology Analysis & Strategic Management, 2025, 37(4):448-461.
[4] Brashi A. AI Adoption in Legal Translation: A Study of Intrinsic Motivation among Saudi Students[J]. International Journal for the
Semiotics of Law - Revue internationale de Smiotique juridique, 2025, (prepublish):1-21.
[5] Dou A, Chen P. Artificial Intelligence Translation Adaptability from the Perspective of Eco-Translatology: Challenges and
Countermeasures[J]. Education Insights, 2025, 2(4):78-90.
[6] Wang Q J, Liu G, Lei Y. Reaffirming the importance of traditional humanities in the era of AI-enhanced translation and transcultural
communication[J]. International Communication of Chinese Culture, 2025, (prepublish):1-35.
[7] Jinzhu L, Zhenzhen H. Exploration of Translation Technology Teaching in Colleges and Universities in the Era of Artificial
Intelligence[J]. Education Reform and Development, 2025, 7(3):116-121.
[8] Lingard L, Klasen J. Qualitative data, cross-language research and AI translation: Three icebergs.[J]. Medical education, 2025.
[9] Ibijola A A, Sukhari A, Oyelere S S. Teaching accounting principles using augmented reality and artificial intelligence-generated IsiZulu
language translations[J]. International Journal of Educational Research Open, 2025, 8100447-100447.
[10] Gao Y, La T. A Frontier Exploration of Translation Industry Research in the Age of Artificial Intelligence[J]. Hill Publishing, 2025,
8(12):
[11] Bai L, Zhang K. Artificial Intelligence-Driven Cross-Language Communication Network: Using Neural Network to Improve Foreign
Language Translation[J]. International Journal of High Speed Electronics and Systems, 2025, (prepublish).
DOI: http://dx.doi.org/10.70711/neet.v3i4.6786
Refbacks
- There are currently no refbacks.
