Students' perceptions of mastery, emotions, and satisfaction were similarly high across all three feedback conditions¶

Claim · All claims
Evidence · 1 study · causal r2 · q3
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q3 i? Students' perceptions of mastery, emotions, and satisfaction did not differ meaningfully between AI-generated and teacher feedback conditions, with perceptions similarly high in each. → Grion 2026

Evidence¶

Grion 2026¶

Grion, Valentina; Doria, Beatrice; Agostini, Daniele; Slaviero, Giorgia. (2026). Artificial intelligence and feedback in university education: effectiveness and student perceptions. Assessment and Evaluation in Higher Education. https://dx.doi.org/10.1080/02602938.2026.2697962

q3 · i? · causal · r2

Student perceptions were assessed through a validated questionnaire (N = 200) in the same project-based university course. The article reports perceptions of "mastery, emotions, and satisfaction were similarly high across conditions."

"Students’ perceptions of mastery, emotions, and satisfaction were similarly high across conditions."

Discussion¶

Related Claims¶

• Practicing with AI did not create an illusion of mastery: participants reported learning and skill levels similar to other conditions — related
• No significant difference in perceived learning across the three modes (p = .845), despite the unrestricted mode's nearly double objective learning delta — related
• Project performance improved significantly from pre- to post-feedback across all three feedback conditions with no significant differences between feedback sources — related
• Questionnaire data may capture learners' perceptions rather than the strategies they actually performed — related
• AI multimodal feedback is rated higher than educator feedback on specificity, clarity, simplicity, motivation, satisfaction, and lower mental effort, with comparable correctness, trust, and acceptance — reports the opposite