AI-assisted feedback drafts increase total feedback length by 39.79 characters per submission¶

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? Treatment increased feedback length by 39.79 characters (SE = 3.45, p < 0.001), with submissions without feedback coded as zero. → Mahinpei 2026

Evidence¶

Mahinpei 2026¶

Mahinpei, R., Dean, V., Fong, R., Liu, L. T., & Ribeiro, M. H. (2026). AI Assistance for Discretionary Work: Increasing Feedback Provision in Higher Education. arXiv. https://arxiv.org/abs/2606.03095 doi:10.48550/arxiv.2606.03095

q3 · i? · causal · r2

Same randomized field experiment; within-question linear regression with homework-question fixed effects. The "39.79 characters" estimate captures combined effects on provision and amount, since submissions without feedback were coded as zero characters.

"and feedback length by 39.79 characters (SE = 3.45, 95% CI [33.03, 46.55], 𝑝< 0.001). Because submissions without feedback are coded as zero characters, the feedback-length estimate captures the combined effect"

Discussion¶

Related Claims¶

• AI-assisted feedback does not reduce student-perceived usefulness of rated feedback — related
• AI-assisted feedback drafts increase discretionary feedback provision by TAs by 10.81 percentage points — related
• AI-assisted feedback drafts do not reduce TAs' time spent per character of feedback — related
• Draft usefulness varies by grading context: higher for submissions with mistakes and applied questions — related
• TAs adapt rather than copy AI feedback drafts, with moderate draft–final overlap (ROUGE-L F1 = 0.60) — related