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

Mikko Sairanen; Jimmy Poulaillon; Lauri Valtonen; Giulia Gaddi; Catarina Batista; Ole Werner; Matteo Balocco; Andrea Bruno; Diego Canova Tandaypan; Ángel Costa-Perales; Jacopo Dardini; Ngo Hung Dung; Anastasiia Korovina; Fernando Palma Fanjul; Eduard Puga Creus; Filomena Scirocco; Adrián Toledo Martínez; Javier Pérez Trujillo

doi:10.23726/cij.2025.1799

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

Mikko Sairanen^*
, Jimmy Poulaillon
, Lauri Valtonen
, Giulia Gaddi
, Catarina Batista
, Ole Werner
, Matteo Balocco
, Andrea Bruno
, Diego Canova Tandaypan
, Ángel Costa-Perales
, Jacopo Dardini
, Ngo Hung Dung
, Anastasiia Korovina
, Fernando Palma Fanjul
, Eduard Puga Creus
, Filomena Scirocco
, Adrián Toledo Martínez
, Javier Pérez Trujillo

^*Tämän työn vastaava kirjoittaja

CERN
ESADE Business School
Universitá di Bologna
Polytechnic University of Valencia
Universidad del Bío-Bío
BarcelonaTech

Tutkimustuotos: Lehtiartikkeli › Article › Scientific › vertaisarvioitu

1 Sitaatiot (Scopus)

5 Lataukset (Pure)

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This article presents a dataset comprising Master-level students’ prompts and discussions with generative artificial intelligence (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 to examine the effects of different pedagogical approaches, student profiles, or problem-solving situations on the use of generative AI.

Alkuperäiskieli	Englanti
Sivut	53-56
Sivumäärä	4
Julkaisu	CERN IdeaSquare Journal of Experimental Innovation
Vuosikerta	9
Numero	3
DOI - pysyväislinkit	https://doi.org/10.23726/cij.2025.1799
Tila	Julkaistu - 2025
OKM-julkaisutyyppi	A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä

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10.23726/cij.2025.1799Lisenssi: CC BY

Data_from_Students’_Use_of_Generative_AI_in_Innovation_Education_Programs_at_CERN_IdeaSquareFinal published version, 284 KBLisenssi: CC BY

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Data from Students' Use of Generative AI in Innovation Education Programs at CERN IdeaSquare
Sairanen, M. (Creator), Poulaillon, J. (Creator), Valtonen, L. (Creator), Gaddi, G. (Creator), Batista, C. (Creator), Werner, O. (Creator), Balocco, M. (Creator), Bruno, A. (Creator), Canova Tandaypan, D. (Creator), Costa-Perales, Á. (Creator), Dardini, J. (Creator), Hung Dung, N. (Creator), Korovina, A. (Creator), Palma Fanjul, F. (Creator), Puga Creus, E. (Creator), Scirocco, F. (Creator), Toledo Martínez, A. (Creator) & Perez Trujillo, J. (Creator), Zenodo, 8 jouluk. 2025
DOI - pysyväislinkki: 10.5281/zenodo.17857678
Tietoaineisto: Dataset

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Sairanen, M., Poulaillon, J., Valtonen, L., Gaddi, G., Batista, C., Werner, O., Balocco, M., Bruno, A., Tandaypan, D. C., Costa-Perales, Á., Dardini, J., Dung, N. H., Korovina, A., Fanjul, F. P., Creus, E. P., Scirocco, F., Martínez, A. T., & Trujillo, J. P. (2025). Data from Students' Use of Generative AI in Innovation Education Programs at CERN IdeaSquare. CERN IdeaSquare Journal of Experimental Innovation, 9(3), 53-56. https://doi.org/10.23726/cij.2025.1799

@article{04ddefb056fd4eb080cdc65a8f439acf,

title = "Data from Students' Use of Generative AI in Innovation Education Programs at CERN IdeaSquare",

abstract = "This article presents a dataset comprising Master-level students{\textquoteright} prompts and discussions with generative artificial intelligence (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{\textquoteright} 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 to examine the effects of different pedagogical approaches, student profiles, or problem-solving situations on the use of generative AI.",

keywords = "Generative AI, innovation education, prompt",

author = "Mikko Sairanen and Jimmy Poulaillon and Lauri Valtonen and Giulia Gaddi and Catarina Batista and Ole Werner and Matteo Balocco and Andrea Bruno and Tandaypan, \{Diego Canova\} and {\'A}ngel Costa-Perales and Jacopo Dardini and Dung, \{Ngo Hung\} and Anastasiia Korovina and Fanjul, \{Fernando Palma\} and Creus, \{Eduard Puga\} and Filomena Scirocco and Mart{\'i}nez, \{Adri{\'a}n Toledo\} and Trujillo, \{Javier P{\'e}rez\}",

note = "Publisher Copyright: {\textcopyright} The author/s, 2025.",

year = "2025",

doi = "10.23726/cij.2025.1799",

language = "English",

volume = "9",

pages = "53--56",

journal = "CERN IdeaSquare Journal of Experimental Innovation",

issn = "2413-9505",

publisher = "CERN - European Organization for Nuclear Research",

number = "3",

}

Sairanen, M, Poulaillon, J, Valtonen, L, Gaddi, G, Batista, C, Werner, O, Balocco, M, Bruno, A, Tandaypan, DC, Costa-Perales, Á, Dardini, J, Dung, NH, Korovina, A, Fanjul, FP, Creus, EP, Scirocco, F, Martínez, AT & Trujillo, JP 2025, 'Data from Students' Use of Generative AI in Innovation Education Programs at CERN IdeaSquare', CERN IdeaSquare Journal of Experimental Innovation, Vuosikerta 9, Nro 3, Sivut 53-56. https://doi.org/10.23726/cij.2025.1799

TY - JOUR

T1 - Data from Students' Use of Generative AI in Innovation Education Programs at CERN IdeaSquare

AU - Sairanen, Mikko

AU - Poulaillon, Jimmy

AU - Valtonen, Lauri

AU - Gaddi, Giulia

AU - Batista, Catarina

AU - Werner, Ole

AU - Balocco, Matteo

AU - Bruno, Andrea

AU - Tandaypan, Diego Canova

AU - Costa-Perales, Ángel

AU - Dardini, Jacopo

AU - Dung, Ngo Hung

AU - Korovina, Anastasiia

AU - Fanjul, Fernando Palma

AU - Creus, Eduard Puga

AU - Scirocco, Filomena

AU - Martínez, Adrián Toledo

AU - Trujillo, Javier Pérez

PY - 2025

Y1 - 2025

N2 - This article presents a dataset comprising Master-level students’ prompts and discussions with generative artificial intelligence (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 to examine the effects of different pedagogical approaches, student profiles, or problem-solving situations on the use of generative AI.

AB - This article presents a dataset comprising Master-level students’ prompts and discussions with generative artificial intelligence (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 to examine the effects of different pedagogical approaches, student profiles, or problem-solving situations on the use of generative AI.

KW - Generative AI

KW - innovation education

KW - prompt

UR - https://www.scopus.com/pages/publications/105033720958

U2 - 10.23726/cij.2025.1799

DO - 10.23726/cij.2025.1799

M3 - Article

AN - SCOPUS:105033720958

SN - 2413-9505

VL - 9

SP - 53

EP - 56

JO - CERN IdeaSquare Journal of Experimental Innovation

JF - CERN IdeaSquare Journal of Experimental Innovation

IS - 3

ER -

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

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

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