Work

Data from Students’ Use of Generative AI in Innovation Education Programs at CERN IdeaSquare

Year: 2025

Type: article

Abstract: This article presents a dataset comprising Master-level students’ prompts and discussions with generative AI as part of a challenge-based innovation problem-solving process. Openly accessible through Zenodo (https://doi.org/10.5281/zenodo.17857679), the data consists of 466 pages of students’ conversations with generative AI tools and a 28-page extract comprising only the prompts. The data was collected through a survey for students participating in week-long intense innovation education programs at CERN IdeaSquare throughout 2024. The data can be used to advance practice and theory regarding the use of generative AI in problem solving and innovation education. Scholars are encouraged to use the data in various forms of analysis, including thematic, content, and narrative analysis. The data can also complement other similar datasets in larger studies examining the effects of different pedagogical approaches, student profiles, problem-solving situations, or other factors on the use of generative AI.

Source: Aaltodoc (Aalto University)

DOI: 10.23726/cij.2025.1799