Students value GenAI corrective feedback with rationales and report increased motivation and confidence¶

Claim · All claims
Evidence · 1 study (2 entries) · qualitative r3 · q2
Currency · newest study 2025 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? Students report using GenAI tools for corrective feedback on finished translation drafts, valuing the rationales behind the feedback. → Wenkang Zhang 2025 q2 i? A portion of students report GenAI use improved their learning motivation, interest, and confidence in translating complex texts. → Wenkang Zhang 2025 (2)

Evidence¶

Wenkang Zhang 2025¶

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

q2 · i? · qualitative · r3

In the questionnaire/interview dataset, 50 of 63 students reported seeking corrective feedback from ChatGPT on finished drafts; an interviewee contrasted ChatGPT's explainable feedback with Grammarly, where "I cannot continue to ask why".

"50 out of 63 students mentioned that they could seek ChatGPT for some corrective feedback to polish their translations when they have finished the translation drafts."

Wenkang Zhang 2025 (2)¶

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

q2 · i? · qualitative · r3

Thematic analysis of questionnaire and interview data: 34 of 63 participants reported improved motivation due to "interactiveness", and 12 of those reported reduced difficulty of complex texts developing confidence. Self-reported perceptions only.

"34 out of 63 participants claimed that the use of GenAI tools improved their learning motivation and interests due to its "interactiveness". 12 out of them also found that the interactive process with GenAI tools could reduce the difficulty of complex texts so that their confidence was developed."

Discussion¶

Related Claims¶

• K-12 students across five schools valued CyberScholar's detailed, specific, rubric-aligned feedback as helpful for identifying areas to revise — related
• Student perceptions of GenAI feedback functionalities diverged, with some finding them redundant when feedback was perceived as clear — related
• Question-driven AI journaling increases intrinsic motivation and acting confidence among actors — related
• Instruction should present the learning task as engaging and meaningful and promote positive expectations of success, because effort requires that learners value the task and believe they can succeed — a broader claim this one bears on
• Qualitative themes: efficiency and peer influence drive AI use, while confidence and rule ambiguity shape students' perceptions of dependence — related