Implementing Oral Exams at Scale: Experiences from Graduate Student Instructors

This paper describes the implementation of oral exams, a more authentic and potentially more informative form of assessment than written exams, at a large scale (over 600 students), in the context of undergraduate introductory programming classes. Our study focuses on the experiences of the PhD students who both taught the classes as graduate student instructors (GSIs) and administered these exams, where their experiences were captured using surveys and audio recordings of instructor meetings. For those interested in implementing oral exams at large scales in their statistics and data science classes, and who view the amount of time and effort as worth it, we provide several recommendations based on the GSIs and our experiences. These include acquiring and listening to GSI feedback, using technology appropriately, mastering scheduling, training instructors, and preparing students for the exam experience. Our results are most applicable to GSIs at an introductory level on a large scale and with students with minimal statistical knowledge. Supplementary materials for this article are available online.

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Publication Details

Journal
Journal of Statistics and Data Science Education
Published
2026-07-16
DOI
https://doi.org/10.1080/26939169.2026.2701207
Primary Topic
Teaching and Learning Programming
Type
article
Field-Weighted Citation Impact
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article

Implementing Oral Exams at Scale: Experiences from Graduate Student Instructors

Justin Post, Matthew Ferrell
Journal of Statistics and Data Science Education
Teaching and Learning Programming
article

Implementing Oral Exams at Scale: Experiences from Graduate Student Instructors

Justin Post, Matthew Ferrell
article en

Abstract

This paper describes the implementation of oral exams, a more authentic and potentially more informative form of assessment than written exams, at a large scale (over 600 students), in the context of undergraduate introductory programming classes. Our study focuses on the experiences of the PhD students who both taught the classes as graduate student instructors (GSIs) and administered these exams, where their experiences were captured using surveys and audio recordings of instructor meetings. For those interested in implementing oral exams at large scales in their statistics and data science classes, and who view the amount of time and effort as worth it, we provide several recommendations based on the GSIs and our experiences. These include acquiring and listening to GSI feedback, using technology appropriately, mastering scheduling, training instructors, and preparing students for the exam experience. Our results are most applicable to GSIs at an introductory level on a large scale and with students with minimal statistical knowledge. Supplementary materials for this article are available online.

Journal of Statistics and Data Science Education
North Carolina State University (US)
Quality Education
Openalex Percentile: Top 4%
Teaching and Learning Programming
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Implementing Oral Exams at Scale: Experiences from Graduate Student Instructors — Justin Post, Matthew Ferrell · Journal of Statistics and Data Science Education (2026) | TGRS Research Map | TGRS