Oral assessments are recommended as a strategy to maintain academic integrity against AI use¶
Claim · All claims
Evidence · 1 study · reviewr2·q2
Currency · newest study 2025 · not yet checked against its sources · not reviewed by a person
Subclaims¶
Reading the evidence codes
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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¶
Related Claims¶
- Perfect AI execution cannot remove four limits: accuracy does not settle end-setting, safety does not confer legitimacy, detection does not secure integrity, and outputs do not replace participation — related
- Critical questions support competency-based science assessment by evaluating higher-order thinking, knowledge transfer and reasoning patterns beyond fact memorization — related
- Preparing for oral assessments changes student study habits toward understanding over memorization — related
- Moving oral assessments online reduced required support staff hours from almost 8 days to 3 days
- Students did not consistently detect scientific errors in ChatGPT responses, and students with stronger prior knowledge evaluated AI responses more critically — related
- AI-augmented instructional design creates tensions between generative affordances and student agency, identity, and academic integrity — related
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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