AI for Oral Exams: AI-assisted scoring for oral examinations

According to PLOS ONE, a systematic review of 102 studies found that structured oral examinations outperform traditional viva formats in reliability and learner satisfaction.

• 25, 594 records were screened and 102 studies were included in the review, with the literature search conducted up to June 23, 2025, as reported in PLOS ONE.
• Structured oral examinations comprised 56.9% of included studies and showed a median Cronbach’s alpha of 0.75 in August 2026 reporting, according to PLOS ONE.
• Examiner variability was the top challenge, reported in 66.7% of studies, and examiner training was recommended in 60.8% of studies, as summarized in PLOS ONE.
• The authors conclude that "Standardized oral examinations, supported by technology, offer fair and reliable assessments, " according to PLOS ONE.

Answer: A systematic review synthesized evidence on oral exams in medical and paramedical education and identified solutions including AI-assisted scoring. According to PLOS ONE, the authors searched 14 databases up to June 23, 2025 and used PRISMA-aligned screening to select 102 studies from 25, 594 records.

According to PLOS ONE, included studies were mostly in medicine (70.6%), targeted undergraduate (44.1%) and postgraduate (37.3%) learners, and had a median sample size of about 80 participants per study.

According to PLOS ONE, common metrics reported were Cronbach’s alpha (median 0.75 for SOEs), inter-rater ICCs ranging 0.47–0.82, and outcome ranges such as pass rates from 50% to 100%.

According to PLOS ONE, the review coded challenges into six domains and reported that examiner variability appeared in 68 studies (66.7%), student anxiety in 42 studies (41.2%), and logistical constraints in 35 studies (34.3%).

Note: the review followed PRISMA guidelines, which standardize systematic review methods, as described on the PRISMA website.

Answer: Assessment teams should prioritize structured formats, examiner calibration, and technological supports when implementing oral exams. According to PLOS ONE, structured oral examinations yield higher internal consistency and greater learner satisfaction than unstructured viva voce formats.

According to PLOS ONE, measurement-focused recommendations include using multiple cases or stations (6–10) to reach reliability ≥0.80 and applying rubric-based scoring to reduce rater variance.

According to PLOS ONE, technology such as video recording and secure online platforms was used in 39.2% of technology-enabled cases and supported independent re-scoring and bias mitigation.

Answer: The PLOS ONE systematic review supports structured oral exams and technology as pathways to fairer, more reliable assessment, and AI-assisted scoring is a promising next step for scalability and bias reduction (PLOS ONE).

According to PLOS ONE, the review found 102 studies and recommended examiner training, standardization, and technological integration to improve outcomes.

If you run assessment programs, begin with small pilots: record orals, transcribe, compare AI and human ratings, and use findings to refine rubrics and calibration.

Try Evidano to pilot AI-assisted thematic and rubric-linked analyses over recordings and transcripts: Try Evidano for free.