Volume 4,Issue 5
Cultivating Translation Learning Beliefs in the AIGC Era: Exploring an Innovative Pedagogical Model Based on Teaching Practice
In the era of Artificial Intelligence Generated Content (AIGC), learning beliefs among translation major students have been reshaped. Instead of merging linguistic competence with translation skills and AI usage in translation teaching, translation teachers should cultivate students’ proper learning beliefs from the perspective of AI-mediated translation competence. This paper proposes the Belief-oriented Human-AI Collaborative (B-HAC) Model, an innovative pedagogical framework developed from teaching practice in undergraduate translation courses. The model combines belief diagnosis and reconstruction, REAL order-driven translation teaching, human-AI collaborative learning, and assessment. Putting learning beliefs at the core of the design, this model aims to build translation competence. This study contributes a belief-oriented perspective to translation teaching and provides practical implications for cultivating competent translators in the AIGC era.
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