Claims

Given sufficient prompt context, GPT-4 describes student errors in a College Algebra ITS with 87.8% accuracy

Claim · All claims
Evidence · 1 study · design r3 · q2
Currency · newest study 2025 · not yet checked against its sources · not reviewed by a person · recheck by 2028: tool and model accuracy changes quickly

Subclaims

Reading the evidence codes

q is the design tier, i the impact, n the sample, and the kind with its r the rigour judged within that kind: what each code means.

This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.

q2 i? When given enough context to situate the student's step in the problem-solving process, GPT-4 accurately described student errors 87.8% of the time across all tutoring topics. → Reddig 2025

Evidence

Reddig 2025

Reddig, J. M., Arora, A., & MacLellan, C. J. (2025). Generating In-Context, Personalized Feedback for Intelligent Tutors with Large Language Models. Int J Artif Intell Educ. https://doi.org/10.1007/s40593-025-00505-6

q2 · i? · design · r3

Analysis of 6926 logged tutor transactions from College Algebra classes, of which 1307 were incorrect answers; each error was prompted to GPT-4 (gpt-4-0613) for diagnosis and human-coded as a correct or incorrect description. The final prompt achieved "87.8% accuracy" (1144 passing errors).

"Our results show in Table 4 that when given enough context to describe what step in the problem-solving process the student is working on, GPT-4 can describe student errors with 87.8% accuracy."

Discussion

Page metadata
Field Value
type claim
id gpt4-diagnoses-its-errors-87-8-accuracy
title Given sufficient prompt context, GPT-4 describes student errors in a College Algebra ITS with 87.8% accuracy
description Given sufficient prompt context, GPT-4 describes student errors in a College Algebra ITS with 87.8% accuracy
status review
evidence_strength moderate
newest_evidence 2025
recheck_by 2028
generated by process:wiki-ingest on 2026-10-12
trust unverified — no one has confirmed this page's content
sources 1 — reddig-2025

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