Teacher perceived workload did not differ significantly across conditions on any NASA-TLX subscale, though the experimental condition was descriptively lower on most subscales¶
Claim · All claims
Evidence · 1 study · causalr2·q3
Currency · newest study 2026 · 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.
q3 i? Robust one-way ANOVAs on the six raw NASA-TLX subscales revealed no statistically significant difference across conditions after p-value adjustment. → Luiz Rodrigues 2026
Evidence¶
Luiz Rodrigues 2026¶
Luiz Rodrigues, Guilherme Guerino, Thomaz Edson Silva, Luana Bianchini, Mariana Alves, Geiser Chalco Challco, Thales Vieira, Marcelo Marinho, Valmir Macario, Diego Dermeval, Ig Ibert Bittencourt, Seiji Isotani. (2026). AIED unplugged, teacher workload, and numeracy learning: a clustered quasi-experimental mixed-methods study. Smart Learning Environments. https://doi.org/10.1186/s40561-026-00465-x
q3 · i? · causal · r2
Teachers' perceived workload was measured with the raw NASA-TLX (0–10 per subscale) at the end of the intervention; the article reports that "Table 5 reveals no statistically significant difference based on adjusted p-values" across the three conditions.
"Descriptively, the Experimental condition yielded the lowest ratings for Mental Demand, Physical Demand, Performance, and Effort. Its Temporal Demand rating was comparable to that of the Training condition, and both were lower than the Control one. Only for Frustration did the Experimental condition rate higher than the Training one, although still lower than the Control one. However, Table 5 reveals no statistically significant difference based on adjusted p-values."
Discussion¶
Related Claims¶
- Personalized paths reduced self-reported cognitive load on all six adapted NASA-TLX dimensions with large effect sizes — reports the opposite
- Teacher perceived workload was negatively associated with student learning gains, especially for Mental Demand and Effort — related
- Using the AIED-U system yielded a positive indirect effect on learning gains through a reduction in the effort teachers reported — related
- The four experimental conditions did not differ in self-reported prior physics performance at baseline — related
- The AI+Robot condition is associated with lower perceived workload than AI-Only on effort, frustration, temporal demand, physical demand, and Raw TLX — reports the opposite
- AI-supported co-produced feedback achieved comparable quality and statistically significant learning gains with reduced production time and workload — reports the opposite
- With the alerting & guiding dashboard, teachers' workload dropped most on the performance and frustration subscales, while cognitive load, temporal demand and effort differences were non-significant — reports the opposite
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
aied-u-no-significant-workload-difference |
title |
Teacher perceived workload did not differ significantly across conditions on any NASA-TLX subscale, though the experimental condition was descriptively lower on most subscales |
description |
Teacher perceived workload did not differ significantly across conditions on any NASA-TLX subscale, though the experimental condition was descriptively lower on most subscales |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2026 |
generated |
by process:wiki-ingest on 2026-10-11 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — luiz-rodrigues-2026 |
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