Claims

Oral assessments are recommended as a strategy to maintain academic integrity against AI use

Claim · All claims
Evidence · 1 study · review r2 · q2
Currency · newest study 2025 · 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? Oral assessments are recognized as a strong strategy to maintain academic integrity, especially when questions are unknown ahead of time, removing students' ability to use AI to generate and memorize answers. → Fenton 2025

Evidence

Fenton 2025

Fenton, A. (2025). Reconsidering the Use of Oral Exams and Assessments: An Old Way to Move Into a New Future. Educational Researcher, 54(7), 430-436. https://doi.org/10.3102/0013189X251333638

q2 · i? · review · r2

The review asserts, citing Nikolic et al. (2023), that oral assessments with unknown questions preserve academic integrity by preventing AI-generated memorized answers. The article offers this as an attributed assertion; no empirical effect size is printed.

"Oral assessments are recognized as a strong strategy to maintain academic integrity, especially when questions are unknown ahead of time, removing the ability of students to use AI to generate answers and then memorize them (Nikolic et al., 2023)."

Discussion

Page metadata
Field Value
type claim
id oral-assessments-academic-integrity-ai
title Oral assessments are recommended as a strategy to maintain academic integrity against AI use
description Oral assessments are recommended as a strategy to maintain academic integrity against AI use
status review
evidence_strength weak
newest_evidence 2025
generated by process:wiki-ingest on 2026-10-12
trust unverified — no one has confirmed this page's content
sources 1 — fenton-2025

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