Claims

Students rated the usability of the AIvaluate assessment in the SUS 'good' range

Claim · All claims
Evidence · 1 study · causal 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? Post-assessment System Usability Scale ratings for the AIvaluate assessment fell in the 'good' adjective range of the SUS acceptability scales. → Habeeb Yusuf 2026

Evidence

Habeeb Yusuf 2026

Habeeb Yusuf, Arthur Money, Damon Daylamani-Zad. (2026). Exploring student anxiety and experience in performance-based assessments using AIvaluate: an LLM-augmented emotionally intelligent pedagogical AI conversational agent. Educational technology research and development. https://doi.org/10.1007/s11423-026-10634-x

q2 · i? · causal · r2

SUS questionnaires with four bespoke experience items were completed immediately after each assessment format by the same 35 students; scores were mapped to adjective, acceptability and school grading scales. The article reports usability scores "rated in the “good” range". No effect size is printed in the provided text.

"usability scores for the tool were rated in the “good” range."

Discussion

Page metadata
Field Value
type claim
id aivaluate-sus-usability-good-range
title Students rated the usability of the AIvaluate assessment in the SUS 'good' range
description Students rated the usability of the AIvaluate assessment in the SUS 'good' range
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 1 — habeeb-yusuf-2026

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