Skip to content

FEEDTYPE: a benchmark of teacher and LLM feedback annotated for feedback focus across three writing domains

Product or Programme · All products and programmes
Evidence · 3 claims (2 for, 1 mixed) · 1 study (1 design), q2 · 0 of 1 report an effect size · 3 claims rest on one study

Description

A released corpus of paragraph-level teacher- and LLM-generated writing feedback with feedback-focus annotations, scores, and student revisions across composition, ESL, and fiction courses, created by Norah Almousa et al.

Components

  • FEEDTYPE: a benchmark of teacher and LLM feedback annotated for feedback focus across three writing domains: FEEDTYPE is a released corpus of paragraph-level teacher and LLM-generated feedback on student essays, drawn from the SEFORA corpus across composition, ESL, and fiction courses, with feedback focus type annotations, scores, and revisions. The authors state it is the only corpus that "jointly provides scores, paragraph-level feedback, feedback focus type annotations, and revisions across all three domains." It contains 1,966 annotated paragraphs and feedback from six LLMs under three prompting strategies. (Norah Almousa et al. (2026))

Claims

Key Sources

  • Norah Almousa, Shayan Peyghambari Oskoui, Raquel Coelho, Gayle Rogers, Xiang Lorraine Li, Diane Litman. (2026). Evaluating Feedback Focus and Pedagogical Adaptivity in LLM-Generated Feedback on Student Writing. arXiv preprint. https://arxiv.org/abs/2609.28026
Page metadata
Field Value
type product
id feedtype-a-benchmark-of-teacher-and-llm-feedback-annotated-for-feedback-focus-across-three
title FEEDTYPE: a benchmark of teacher and LLM feedback annotated for feedback focus across three writing domains
description A released corpus of paragraph-level teacher- and LLM-generated writing feedback with feedback-focus annotations, scores, and student revisions across composition, ESL, and fiction courses, created by Norah Almousa et al.
status review
product_kind dataset
generated by process:settle-candidates on 2026-10-11
trust unverified — no one has confirmed this page's content

Frontmatter is the page's machine-readable record — see the Schema & Guide.