Claims

AEEGS and human raters produced similarly shaped score distributions, with most students' scores clustered around the mean in the 'good' band

Claim · All claims
Evidence · 1 study (2 entries) · associational r2 · 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? Under AEEGS, 598 students (59.3%) scored in the good band, 89 (8.8%) very good and 7 (0.7%) excellent; under human raters, 633 (62.8%) scored good, 71 (7.0%) very good and 5 (0.5%) excellent. → Olaoye DD 2026 q2 i? Human raters' distribution showed 633 students (62.8%) in the good band, 183 (18.2%) fair and 116 (11.5%) low, with scores normally distributed around the mean. → Olaoye DD 2026 (2)

Evidence

Olaoye DD 2026

Olaoye DD, Owolabi HO and Olaoye OT (2026). Automated software scoring of senior school certificate examination mathematical items in economics using a contextual similarity model. Front. Educ. 11:1669504. https://doi.org/10.3389/feduc.2026.1669504

q2 · i? · design · r2

Descriptive frequency analysis of AEEGS scores for all 1,008 students, grouped into five levels using the standard normal curve. The article reports 598 (59.3%) in the good band and 68.8% of scores within good, very good and excellent combined.

"the 7 (0.7%) of the students had excellent scores, 89 (8.8%) and 598 (59.3%) of the students had very good and good scores, while less than half of the students' scores falls within fair and low with 181 (18.0%) and 133 (13.2%) respectively."

Olaoye DD 2026 (2)

Olaoye DD, Owolabi HO and Olaoye OT (2026). Automated software scoring of senior school certificate examination mathematical items in economics using a contextual similarity model. Front. Educ. 11:1669504. https://doi.org/10.3389/feduc.2026.1669504

q2 · i? · associational · r2

Descriptive frequency analysis of the 12 human raters' scores for the same 1,008 students, grouped into the same five levels. The article reports 633 (62.8%) good and states the scores are "normally distributed, with majority of the scores cluster around the mean".

"Out of 1,008 students, 5 (0.5%) of them had excellent scores, 71 (7.0%) of them had very good scores, 633 (62.8%) had good scores, 183 (18.2%) had fair scores, and 116 (11.5%) of them had low scores"

Discussion

Page metadata
Field Value
type claim
id aeegs-human-score-distributions-similar
title AEEGS and human raters produced similarly shaped score distributions, with most students' scores clustered around the mean in the 'good' band
description AEEGS and human raters produced similarly shaped score distributions, with most students' scores clustered around the mean in the 'good' band
status review
evidence_strength moderate
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 — olaoye-dd-2026, olaoye-dd-2026-2

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