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Universities introduce oral exams to combat cheating with AI, while research highlights their inconsistency and unfairness

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Universities and some schools are introducing oral exams to combat cheating with AI, but research shows that they increase student anxiety, disadvantage students examined in a foreign language, and are inconsistent – without reliably detecting AI use.

Universities, along with some schools in New South Wales, Australia, are beginning to make greater use of oral exams (“viva voce”) in response to students cheating with artificial intelligence. According to universities, this method allows them to assess a student's actual knowledge more accurately because the examiner can ask additional questions on the spot. Oral examination is among the oldest forms of assessment, dating back to ancient Greece, and was used in many schools and universities even before written examinations became widespread.

However, according to the cited research, the method has weaknesses of its own. A German study found that students experience significantly greater anxiety during oral exams than during written ones, which may prevent them from demonstrating their actual knowledge. Students examined in a language other than their native language may be disadvantaged even when they understand the material. A Norwegian study in secondary schools also showed substantial inconsistency: students' opening presentations lasted from five to 16 minutes, follow-up discussions from seven to 23 minutes, and in subsequent research, some students were asked fewer than ten questions by the same examiners, while others were asked almost fifty.

Oral exams are also unreliable as a defence against cheating with AI – a student can use AI to rehearse and memorise convincing answers, while another student who wrote their own work may fail under pressure. The article's author, whose own research focuses on assessment, states that effective assessment must produce trustworthy and reliable results, treat all students fairly, allow appropriate flexibility according to students' needs, and measure the intended learning – for example, scientific reasoning in an oral science exam, rather than confidence in public speaking.

According to the research cited in the article, oral exams work best as a complement to written or practical assessment, rather than as a replacement – for example, a short conversation about an annotated essay draft instead of replacing an entire essay with an exam. Recommended measures include communicating the purpose and assessment criteria in advance, opportunities to practise speaking regularly, enough time to think, adapting conditions to students, and consistent follow-up questions across students, supported by a shared marking rubric and a review of a sample of grades. Without these measures, the author argues, an oral exam used as an “AI lie detector” merely turns a test of knowledge into a test of confidence.

What changed

Why it matters

For institutions, this is a concrete decision affecting assessment fairness and teachers' workload – without clear criteria and consistent procedures, there is a risk that an oral exam will replace a problem with integrity with a problem of unfair treatment of students. For students, especially those examined in a foreign language or prone to anxiety, there is a real risk of lower grades regardless of their actual knowledge, while the method itself does not reliably detect whether an answer was produced with AI assistance.

Two audiences, two different impacts

What this means

01

For individuals

Students, especially those taking exams in a foreign language, may be disadvantaged by an oral exam because of increased anxiety and an uneven scope of questioning (in the cited Norwegian study, preparation time ranged from 5 to 16 minutes and the number of questions from 10 to almost 50), while the exam may fall well short of reliably detecting AI use.

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02

For a business

Universities and schools that replace written assignments with oral exams over concerns about cheating with AI solve one problem (integrity) while opening up another (inconsistent assessment and unequal treatment of students), with a higher workload for examiners as well.

Processes
What to decide When introducing or revising oral exams, publish the assessment criteria and types of questions in advance, use the same follow-up questions for all students, introduce a shared marking rubric with a sample of grades reviewed by others…
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Academic integrity assessment cheating with AI oral examinations education

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The Conversation — Artificial Intelligence independent context · first detected Oral exams are making a comeback to stop AI cheating. But they have their own problems