Provide teacher guidance on GenAI use, prompt engineering, ethics, and targeted classroom activities for translation¶

Strategy · All strategies
Evidence · 2 claims (2 for) · 2 studies (1 associational, 1 qualitative), q2 · 0 of 2 report an effect size · 2 claims rest on one study

Description¶

Translation students expected teachers to offer guidance on using GenAI in translation, including "decision-making between human translation and revision versus those augmented by GenAI, prompt engineering, and ethical implications". They also requested targeted classroom activities, such as ChatGPT-assisted assignments followed by revision discussions and human-versus-GenAI translation mini-competitions, and updates on latest GenAI tools and market information.

Design Implications¶

Context¶

Requirements¶

• Teachers need current knowledge of GenAI tools and their implications to provide such guidance

Constraints¶

Target Learners¶

• undergraduate and postgraduate translation and interpreting students

Target Learning Goals¶

• effective and ethical use of GenAI in translation practice
• prompt engineering skills
• critical decision-making about human versus AI-assisted translation

Claims¶

• Students perceive GenAI-assisted translation as challenged by inadequate outputs, limited prompt engineering, and risks to creativity and employment [+W]
• Students most often urge institutions to teach responsible AI use (N=41) and provide clear rules and guidelines (N=27) [+W]

Related Strategies¶

• Provide institutional support: regular GenAI workshops, subsidized access to advanced tools, reliable resources, and curriculum inclusion
• Train teachers in prompt engineering, evaluating AI-generated responses, ethical and privacy considerations, and integrating AI outputs into pedagogical decision-making
• Scaffolded AI integration with teacher training and reflective tasks to reduce over-reliance
• Design authentic, scaffolded activities that convert students' intuitive GenAI concerns into explicit ethical competencies

Examples¶

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Key Sources¶

• Wenkang Zhang, Albert W. Li, Chenze Wu. (2025). University students' perceptions of using generative AI in translation practices. Instructional Science. https://doi.org/10.1007/s11251-025-09705-y