Assessment in Team Problem-Solving Exercises in Computing Education
This full paper in the research-to-practice track presents methods for assessing student teams in tabletop exercises (TTXs). TTXs enable learner teams to prepare for workplace tasks and practice crisis responses, such as resolving cybersecurity incidents. While assessment is essential for determining how well teams achieve learning objectives, the complex, open-ended nature of TTXs often leads to delayed or incomplete feedback. TTX learning platforms can record teams' actions and communication; yet, leveraging these data to assess performance is underexplored. To address this gap, we compared two post-TTX team assessment methods -- clustering and large language models (LLMs) -- using an o...
| Authors | Valdemar Švábenský, Jan Vykopal, Sukrit Leelaluk et al. |
|---|---|
| Primary category | cs.CY |
| Published | 21 July 2026 |
| Last updated at source | 21 July 2026 |
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