On the SciC classification task, AGE achieves more than 80% accuracy after roughly the first 30 graded student answers¶
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Evidence · 1 study · designr2·q2
Currency · newest study 2024 · not yet checked against its sources · not reviewed by a person
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q2 i? On the SciC classification task, the proposed model needs more graded answers early (up to 30) but then achieves the highest score estimations with more than 80% accuracy. → Mohammad Iqbal 2024
Evidence¶
Mohammad Iqbal 2024¶
Mohammad Iqbal, Tsamara Rana Nugraha and Hsing-Kuo Pao. (2024). Active Grade Estimator on Short Answer Assessment. https://doi.org/10.21203/rs.3.rs-5651820/v1
q2 · i? · design · r2
Numerical comparison on the SciC dataset classification task shown in Fig. 9(a). The article reports the proposed model "can achieve the highest score estimations with more than 80% accuracy" after an early phase of up to 30 graded answers.
"On the other hand, the proposed model still needs to ask more graded student answers in the e arly phase (up to 30 student answers). After that, the proposed model can achieve the highest score estimations with more than 80% accuracy."
Discussion¶
Related Claims¶
- AGE reduces teacher grading burden by requiring only 1% of student answers in the UNT dataset to be graded
- GPT-4 surpasses other LLMs in the AGE query selection with an accuracy rate 15% better
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
age-over-80-percent-accuracy-scic |
title |
On the SciC classification task, AGE achieves more than 80% accuracy after roughly the first 30 graded student answers |
description |
On the SciC classification task, AGE achieves more than 80% accuracy after roughly the first 30 graded student answers |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2024 |
generated |
by process:wiki-ingest on 2026-10-28 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — mohammad-iqbal-2024 |
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