2025/12/09 by Mikko Sairanen, Sairanen, Mikko, Jimmy Poulaillon +32
Computer Science · Engineering · Social Sciences · #Biomedical and Engineering Education #Teaching and Learning Programming #The Impact of Diversity and Innovation on Society #generative AI #innovation education #prompt
paper · doi:10.23726/cij.2025.1799
openalex publication_date 2025/12/09 · openalex created_date 2026/01/01 · openalex updated_date 2026/07/22
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 (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.