AI and peer feedback differed in complementary ways: AI gave general, rubric-driven, actionable feedback while peers gave more specific, contextual feedback¶

Claim · All claims
Evidence · 1 study (2 entries) · design r2 · q2
Currency · newest study 2025 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? 38% of student reflections coded AI and human feedback as complementary, with AI often described as overly general (31%) and peer feedback as more specific or detailed (28%). → Sperber 2025 q2 i? Some students found peers more valuable because peers understood the assignment, course context, and subject matter more deeply than AI (15% of reflections). → Sperber 2025 (2)

Evidence¶

Sperber 2025¶

Sperber, Lisa; MacArthur, Marit; Minnillo, Sophia; Stillman, Nicholas; Whithaus, Carl. (2025). Peer and AI Review + Reflection (PAIRR): A human-centered approach to formative assessment. Computers and Composition 76. https://doi.org/10.1016/j.compcom.2025.102921

q2 · i? · design · r2

Thematic coding of the stratified sub-sample of 131 students' reflections in MaxQDA; AI feedback was often described as overly general or generic (31% of reflections) while peer feedback was frequently described as more specific or detailed (28% of reflections).

"38% of reflections were coded as “Feedback Consensus: AI and Human Complementary.”"

Sperber 2025 (2)¶

Sperber, Lisa; MacArthur, Marit; Minnillo, Sophia; Stillman, Nicholas; Whithaus, Carl. (2025). Peer and AI Review + Reflection (PAIRR): A human-centered approach to formative assessment. Computers and Composition 76. https://doi.org/10.1016/j.compcom.2025.102921

q2 · i? · qualitative · r?

Qualitative coding of student reflections; students trusted peers more because of contextual knowledge, and valued peers as an authentic audience (16% of reflections) and for emotional support and relationships.

"some students found greater value in peer feedback because their peers understood the assignment, course context, and subject matter more deeply than AI (15% of reflections “Understands Assignment/Context”)"

Discussion¶

Related Claims¶

• Thematic coding of student reflections shows peers seen as understanding context and AI feedback seen as actionable, with one quarter of reflections expressing skepticism of AI — possibly the same claim (merge candidate)
• Business Writing students valued AI feedback for higher-order and sentence-level comments but found it sometimes too general, while appreciating peers' contextual knowledge — possibly the same claim (merge candidate)
• Students perceived peer group feedback as contextually rich but sometimes subjective, and ChatGPT-4o feedback as more objective and well structured but occasionally lacking contextual sensitivity — possibly the same claim (merge candidate)
• After PAIRR, most students prefer combined peer and AI feedback over either source alone — related
• Students found AI feedback helpful and actionable more often than not across a semester of reflective writing — related
• Three multilingual international students critically evaluated AI feedback, recognized peer-AI agreement, and maintained their voices while revising — related
• Similarity between AI and peer feedback reassured students and increased their confidence in peer response — related
• AI is currently not best practice for competency-based micro-credential assessment; human assessors remain indispensable — related
• Written assignments are the most used object of peer assessment, and beliefs and perceptions are the most investigated outcome — related