AI grading errors concentrate in graphical tasks and include both false positives on incorrect equations and false negatives from misread sketches and labels¶
Claim · All claims
Evidence · 1 study (2 entries) · designr2·q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person · recheck by 2029: 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? AI sometimes assigned full points for a completely incorrect chemical equation (2 Na+ + H−2 −→ 2 NaH), a false positive that students would be unlikely to contest and that would remain undetected. → Jan Cvengros and Gerd Kortemeyer 2026
q2 i? In graphical tasks, AI misread a crystal-field sketch — interpreting the labeled energy axis as an electron — and assigned zero credit where the TA awarded full credit. → Jan Cvengros and Gerd Kortemeyer 2026 (2)
Evidence¶
Jan Cvengros and Gerd Kortemeyer 2026¶
Jan Cvengros and Gerd Kortemeyer. (2026). Assisting the grading of a handwritten general chemistry exam with artificial intelligence. Discover Artificial Intelligence. https://doi.org/10.1007/s44163-026-01606-4
q2 · i? · design · r2
Qualitative comparison of TA-graded exam sheets against AI score sheets (Sect. 4.2). For the sodium-hydride formation equation, the article reports AI "assigned full points also for the equation" with disrupted charge balance, and notes students usually do not complain about receiving points from wrong answers.
"AI, however assigned full points also for the equation 2 Na+ + H− 2 −→ 2 NaH, which is incorrect as the charge balance is disrupted"
Jan Cvengros and Gerd Kortemeyer 2026 (2)¶
Jan Cvengros and Gerd Kortemeyer. (2026). Assisting the grading of a handwritten general chemistry exam with artificial intelligence. Discover Artificial Intelligence. https://doi.org/10.1007/s44163-026-01606-4
q2 · i? · design · r2
Qualitative false-negative example (Fig. 6, problem 6-C-b): the leftmost arrow was actually the energy axis labeled E; interpreted correctly the answer matched the rubric and the TA awarded full credit. The article states such errors "very often occurred in graphical tasks".
"AI misread the sketch. It detected three upward arrows in the higher-energy level and interpreted them as three electrons with identical spin, concluding that the student had indicated an incorrect electron count and therefore assigned zero credit"
Discussion¶
Related Claims¶
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Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
ai-grading-failure-modes-graphical-tasks |
title |
AI grading errors concentrate in graphical tasks and include both false positives on incorrect equations and false negatives from misread sketches and labels |
description |
AI grading errors concentrate in graphical tasks and include both false positives on incorrect equations and false negatives from misread sketches and labels |
status |
review |
evidence_strength |
weak |
newest_evidence |
2026 |
recheck_by |
2029 |
generated |
by process:wiki-ingest on 2026-10-10 |
trust |
unverified — no one has confirmed this page's content |
sources |
2 — jan-cvengros-and-gerd-kortemeyer-2026, jan-cvengros-and-gerd-kortemeyer-2026-2 |
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