Intelligent Teaching and Learning

Advancing and reimagining translation and interpreting education through the principled integration of generative artificial intelligence, intelligent assessment, and emerging language technologies into teaching, learning, feedback, and professional training.

Technology-supported pedagogy Human-AI collaboration Automated feedback

Related Publications

Jiang, Z. (2026). Scaffolding early-stage simultaneous interpreting learning using computerized dynamic assessment. Language Learning & Technology, 30(1), 1–25.

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Jiang, Z. (2026). Rethinking “elaborate equals effective”: Unpacking the impact of feedback complexity and text type on learner engagement with GenAI’s feedback. International Journal of Applied Linguistics, 36(2), 1510–1524.

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Han, C., Lu, X., & Fan, Q. (2025). Taming generative AI for interpreter education: Using large language models in classroom-based assessment of English–Chinese consecutive interpreting. The Interpreter and Translator Trainer, 19(3–4), 444–464.

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Chen, Q., & Su, W. (2025). Comparing students’ reception of AI-based video feedback and written feedback: A Q methodological study. Innovations in Education and Teaching International, 1–16.

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Chen, S., & Han, C. (2025). The role of annotating in peer assessment of interpreting: A quasi-experimental investigation. The Asia-Pacific Education Researcher, 34(6), 2109–2118.

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