Data from Students’ Use of Generative AI in Innovation Education Programs at CERN IdeaSquare
DOI:
https://doi.org/10.23726/cij.2025.1799Keywords:
generative AI, prompt, innovation educationAbstract
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.
References
Boussioux, L., Lane, J. N., Zhang, M., Jacimovic, V., & Lakhani, K. R. (2024). The Crowdless Future? Generative AI and Creative Problem-Solving. Organization Science, 35(5), 1589–1607. https://doi.org/10.1287/orsc.2023.18430
Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oa
Doshi, A. R., & Hauser, O. P. (2024). Generative artificial intelligence enhances creativity but reduces the diversity of novel content. Science Advances, 10(28), eadn5290. https://doi.org/10.1126/sciadv.adn5290
Dwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E. L., Jeyaraj, A., Kar, A. K., Baabdullah, A. M., Koohang, A., Raghavan, V., Ahuja, M., Albanna, H., Albashrawi, M. A., Al-Busaidi, A. S., Balakrishnan, J., Barlette, Y., Basu, S., Bose, I., Brooks, L., Buhalis, D., … Wright, R. (2023). Opinion Paper: “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy. International Journal of Information Management, 71, 102642. https://doi.org/10.1016/j.ijinfomgt.2023.102642
Habib, S., Vogel, T., Anli, X., & Thorne, E. (2024). How does generative artificial intelligence impact student creativity? Journal of Creativity, 34(1), 100072. https://doi.org/10.1016/j.yjoc.2023.100072
Helal, M. Y. I., Elgendy, I. A., Albashrawi, M. A., Dwivedi, Y. K., Al-Ahmadi, M. S., & Jeon, I. (2025). The impact of generative AI on critical thinking skills: A systematic review, conceptual framework and future research directions. Information Discovery and Delivery. https://doi.org/10.1108/IDD-05-2025-0125
Kadaruddin, K. (2023). Empowering Education through Generative AI: Innovative Instructional Strategies for Tomorrow’s Learners. International Journal of Business, Law, and Education, 4(2), 618–625. https://doi.org/10.56442/ijble.v4i2.215
Larson, B. Z., Moser, C., Caza, A., Muehlfeld, K., & Colombo, L. A. (2024). Critical Thinking in the Age of Generative AI. Academy of Management Learning & Education, 23(3), 373–378. https://doi.org/10.5465/amle.2024.0338
Mariani, M., & Dwivedi, Y. K. (2024). Generative artificial intelligence in innovation management: A preview of future research developments. Journal of Business Research, 175, 114542. https://doi.org/10.1016/j.jbusres.2024.114542
Mittal, U., Sai, S., Chamola, V., & Sangwan, D. (2024). A Comprehensive Review on Generative AI for Education. IEEE Access, 12, 142733–142759. https://doi.org/10.1109/ACCESS.2024.3468368
Nordberg, M., Garcia Tello, P., Poulaillon, J., Wirtavuori, L., & Valtonen, L. (2024). Addressing Societal Challenges with the Help of AI from Student Teams at IdeaSquare, CERN. In M. Streit-Bianchi & V. Gorini (Eds.), New Frontiers in Science in the Era of AI (pp. 143–155). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-61187-2_9
Rafner, J., Beaty, R. E., Kaufman, J. C., Lubart, T., & Sherson, J. (2023). Creativity in the age of generative AI. Nature Human Behaviour, 7(11), 1836–1838. https://doi.org/10.1038/s41562-023-01751-1
Riffe, D., Lacy, S., Watson, B. R., & Lovejoy, J. (2023). Analyzing Media Messages: Using Quantitative Content Analysis in Research (5th ed.). Routledge. https://doi.org/10.4324/9781003288428
Sandelowski, M. (1991). Telling Stories: Narrative Approaches in Qualitative Research. Image: The Journal of Nursing Scholarship, 23(3), 161–166. https://doi.org/10.1111/j.1547-5069.1991.tb00662.x
Urban, M., Děchtěrenko, F., Lukavský, J., Hrabalová, V., Svacha, F., Brom, C., & Urban, K. (2024). ChatGPT improves creative problem-solving performance in university students: An experimental study. Computers & Education, 215, 105031. https://doi.org/10.1016/j.compedu.2024.105031
Valtonen, L., Garcia Tello, P., Gaddi, G., Poulaillon, J., Werner, O., Zimmermann, D., Batista, C., Wirtavuori, L., & Breidvik, M. (2025). Towards meeting futures’ educational needs: A case study of CERN IdeaSquare planet. Cogent Education, 12(1), 2542398. https://doi.org/10.1080/2331186X.2025.2542398
Vignoli, M., Balboni, B., Cotoranu, A., Dosi, C., Glisoni, N., Kohler, K., Mincolelli, G., Mäkinen, S., Nordberg, M., & Thong, C. (2021). Inspiring the future change-makers: Reflections and ways forward from the Challenge-Based Innovation experiment. CERN IdeaSquare Journal of Experimental Innovation, 5(1), 1–4. https://doi.org/10.23726/cij.2021.1323
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Copyright (c) 2025 Mikko Sairanen, Jimmy Poulaillon, Giulia Gaddi, Lauri Valtonen
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