An Assessment of Oral Exams in Introductory CS
Abstract
Assessment of student knowledge is a crucial and challenging part of course design. Especially in computer science courses in the United States, written examinations are very common. While written exams offer a number of advantages in convenience and familiarity, they are also inflexible and prone to question misinterpretation. In contrast to written tests, oral exams offer the prospect of an interactive conversation where students can express their knowledge in a variety of ways while asking clarifying questions. In this paper, we present and assess our implementation of oral exams in an introductory computer science course. We describe the motivation for and resulting features of our design, including a simplified rubric style for equitable, on-the-fly grading. We also perform an assessment relative to more traditional written exams. We find the time commitment for instructors to be manageable and comparable to traditional exams. Through post-semester surveys, students self-report spending slightly more time studying for oral exams, but rate the difficulty as similar to written exams. Both qualitative and quantitative student feedback indicates that oral exams can be effective and well-received.
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Ohmann highlighted a significant problem with students distributing exam questions to peers during the five-day period required to complete every individual session.
“Ohmann also highlighted a significant problem with students from distributing exam questions to peers during the five-day period required to complete every individual session.”
From Bob or Bot: Exploring ChatGPT's Answers to University Computer Science Assessment (2024) · cites this paper as [37]
Ohmann cited difficulties with scaling the oral exam to a larger class, especially when single instructors do not have sufficient support from tutors or teaching assistants.
“Regarding barriers to the implementation of oral exams, Ohmann cited difficulties with scaling the exam to a larger class, especially when single instructors do not have sufficient support from tutors or teaching assistants.”
From Bob or Bot: Exploring ChatGPT's Answers to University Computer Science Assessment (2024) · cites this paper as [37]
Students and instructors who participated in a final oral exam in a foundational CS course had positive reactions about their experience, with students demonstrating a deeper level of engagement with the material than previously noted with written assessment.
“Ohmann discovered that the students and instructors who participated in a final oral exam in a foundational CS course had positive reactions about their experience, with students demonstrating a deeper level of engagement with the material than previously noted with written assessment [37].”
From Bob or Bot: Exploring ChatGPT's Answers to University Computer Science Assessment (2024) · cites this paper as [37]
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Flagged first, then by citations
- Authors
- Ohmann, P.
- Affiliations
- College of Saint Benedict and Saint John's University (US)
- Corresponding author
- Ohmann, Peter
- ORCID
- Ohmann, Peter
- Venue
- Proceedings of the 50th ACM Technical Symposium on Computer Science Education
- Publisher
- ACM
- Published
- 2019-02-22
- Pages
- 613-619
- OpenAlex
- W2917182231
- Cited by
- 36
- References
- 13
- Citations by year
- 2026: 6 · 2025: 3 · 2024: 12 · 2023: 6 · 2022: 3 · 2021: 5 · 2020: 1
- FWCI
- 2.60
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- ACM Technical Symposium on Computer Science Education (SIGCSE) (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Science Applications › Teaching and Learning Programming
- Social Sciences › Education › Student Assessment and Feedback
- Physical Sciences › Computer Science › Information Systems › Educational Technology and Assessment
- Keywords
- oral examination, introductory computer science, assessment, written examinations, rubric-based grading, student perceptions, course design, student study time
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