Teacher review workload was higher in the Diagnostic Review class in review minutes, added instruction, and review intensity¶

Claim · All claims
Evidence · 1 study · causal r2 · q2 · i3 large
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i3 Review minutes were 10.06–10.79 per cycle in Diagnostic Review versus 7.82–8.28 in Control (g = 0.94–1.18), and review intensity g values reached 2.61–2.73. → Yao X-C and Fan L 2026

Evidence¶

Yao X-C and Fan L 2026¶

Yao X-C and Fan L (2026) From automated scoring to learning diagnosis: a mechanism study of AI-supported formative assessment in English writing. Front. Psychol. 17:1905455. https://doi.org/10.3389/fpsyg.2026.1905455

q2 · i3 · causal · r2

Teacher review records summarized by group and cycle across the three writing cycles. Review minutes were "7.82,8.20,and8.28inControl and 10.06, 10.79, and 10.71 in Diagnostic Review", with Hedges' g of 0.94, 1.18, and 1.09; the article also reports review-intensity g values of 2.61, 2.67, and 2.73.

"Reviewminuteswere7.82,8.20,and8.28inControl and 10.06, 10.79, and 10.71 in Diagnostic Review across Cycles 1–3. The corresponding Hedges' g values were 0.94, 1.18, and 1.09."

Discussion¶

Related Claims¶

• The Diagnostic Review class scored higher on diagnostic accuracy, actionability, comprehension, revision quality, and self-assessment accuracy across all three cycles — related
• The Diagnostic Review class gained more writing points across three cycles than the Control class (Hedges' g = 1.12) — related
• AI-teacher diagnostic agreement was higher in the Diagnostic Review class and varied by issue type, with local language issues best diagnosed — related
• Diagnostic Review revisions contained larger shares of meaning-change, organization, and content/argument work, while Control revisions remained more dependent on surface-level editing — related