Dataset to aid educators in using Generative AI in software design

This dataset is part of a study that reports on the experience of introducing GenAI into an undergraduate software design class. Students were required to use GenAI (in the form of ChatGPT) to help complete a team-based assignment in which they were tasked with designing the core of the solution for how an educational traffic simulator could keep track of the elements in the simulation, as well as how to advance the simulation over time. The researchers collected and analyzed both the ChatGPT conversation logs and the teams' reflections on their use of ChatGPT for the assignment. The report describes how the teams used ChatGPT, reflects on how they felt ChatGPT helped them and where it had shortcomings, and identifies several key lessons for educators on how to deploy GenAI in a software design class. This dataset supports the study "Using Generative AI in Software Design Education" recently accepted into the 2026 Designing Workshop, held alongside ICSE in Rio de Janiero, April 2026. Methods Data Preparation The dataset consists of two files: The lecture material illustrating how ChatGPT, alongside PlantUML[1], can be used to help produce UML diagrams Their course assignment which asked them to use ChatGPT to help with their design. This data is provided to support educators who may be considering a similar approach in the future. [1] PlantUML Web Server