In the Enacted Feedback workflow most resources moved from AI feedback to suggestion selection, while optional AI assistance was rarely entered¶

Claim · All claims
Evidence · 1 study · causal r2 · q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? First-order Markov models showed 63.0% of Enacted Feedback resources moved from AI Feedback to selected suggestions and 37.0% proceeded without selecting, while in Self-Directed Feedback 99.0% of drafted resources did not enter the optional AI assistance pathway. → Omar Alsaiari 2026

Evidence¶

Omar Alsaiari 2026¶

Omar Alsaiari, Nilufar Baghaei, Jason M. Lodge, Naomi Winstone, Dragan Gašević, Hassan Khosravi. (2026). Making AI-Generated Feedback Matter: A Large-Scale Study of Feedback Workflows and Student Enactment. https://arxiv.org/abs/2608.11625 doi:10.48550/arxiv.2608.11625

q2 · i? · causal · r2

First-order Markov model analysis of event-flow transitions from the relevant feedback or drafting state onward, reported as descriptive transition probabilities. In Self-Directed Feedback, 99.0% of drafted resources did not enter the optional AI assistance pathway.

"InEnacted Feedback, 63.0% of resources moved from AI Feedback to selected suggestions and 37.0% proceeded without selecting suggestions, with 28.9% showing downstream editing after feedback comments."

Discussion¶

Related Claims¶

• Enacted Feedback yields higher workflow-specific uptake of AI-generated feedback than Directed and Self-Directed Feedback workflows — related
• Enacted Feedback produces more post-workflow revisions per resource than the comparison workflows — related
• The study dataset comprised 13,037 students, 51,296 student-authored resources, and 70 course offerings across three workflow conditions — related
• TAs adapt rather than copy AI feedback drafts, with moderate draft–final overlap (ROUGE-L F1 = 0.60) — related
• Revision after chatbot feedback predominantly results in successful uptake, indicating effective error correction — related
• AI-assisted feedback drafts increase discretionary feedback provision by TAs by 10.81 percentage points — related