CTT item selection dropped five low-discrimination items, retaining 20 items of moderate difficulty¶
Claim · All claims
Evidence · 1 study (2 entries) · designr3·q2
Currency · newest study 2024 · not yet checked against its sources · not reviewed by a person
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? Five items with discrimination indices below 0.3 were excluded from the GLAT. → Yueqiao Jin 2024
q2 i? Retained items showed discrimination indices from 0.33 to 0.55 and difficulties from 0.25 to 0.90. → Yueqiao Jin 2024 (2)
Evidence¶
Yueqiao Jin 2024¶
Yueqiao Jin, Roberto Martinez-Maldonado, Dragan Gašević and Lixiang Yan. (2024). GLAT: The Generative AI Literacy Assessment Test. https://arxiv.org/abs/2411.00283 doi:10.48550/arxiv.2411.00283
q2 · i? · design · r3
Classical test theory item analysis with 200 higher education students computed item difficulty and point-biserial discrimination; items 6, 9, 14, 15, and 20 fell below the 0.3 discrimination threshold and were excluded.
"atotaloffiveitems(Items6,9,14,15,and20)haddiscriminationindicesbelowthethresholdof0.3."
Yueqiao Jin 2024 (2)¶
Yueqiao Jin, Roberto Martinez-Maldonado, Dragan Gašević and Lixiang Yan. (2024). GLAT: The Generative AI Literacy Assessment Test. https://arxiv.org/abs/2411.00283
q2 · i? · design · r3
The article reports the retained items' difficulty spread and that discrimination indices ranged from 0.33 to 0.55 (M = 0.41, SD = 0.06), indicating items differentiate high and low performers across proficiency levels.
"Of the 20 items retained, the item difficulties ranged between 0.25 and 0.90 (M = 0.67, SD = 0.14)"
Discussion¶
Related Claims¶
- LLMs perform competently at comparing item difficulty but fall below random chance on comparing item discrimination — related
- Point-biserial item-total correlation is negatively related to test discriminating value and can be expressed via item and test difficulty and discrimination parameters — related
- Negative affective experience items were dropped due to floor effects and poor discrimination — related
- GLAT scores predicted performance on GenAI-supported tasks better than perceived ChatGPT proficiency — related
- Item analysis showed high self-reported engagement and subscale differences in discriminatory power, with social engagement items weakest and cognitive engagement items strongest — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
glat-item-selection-discrimination |
title |
CTT item selection dropped five low-discrimination items, retaining 20 items of moderate difficulty |
description |
CTT item selection dropped five low-discrimination items, retaining 20 items of moderate difficulty |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2024 |
generated |
by process:wiki-ingest on 2026-10-12 |
trust |
unverified — no one has confirmed this page's content |
sources |
2 — yueqiao-jin-2024, yueqiao-jin-2024-2 |
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