Artificial intelligence in the classroom: empowering problem solving through creative thinking
Main Article Content
Abstract
Introduction: The present study evaluated the influence of an educational intervention mediated by artificial intelligence (AI) tools, specifically ChatGPT and BandLab, on the development of the dimensions of fluency and flexibility in problem solving within the domain of creative thinking. Methodology: The research was carried out with 8th grade students through a quasi-experimental pretest-posttest design, in which participants were involved in five collaborative work sessions aimed at creating a song with a predefined structure, theme and style. The Torrance Creativity Test (verbal form A) was used to measure the variables. Results: Statistical analyses, which included normality tests and the Wilcoxon non-parametric test, showed significant improvements in the flexibility dimension (p < .001), while fluency remained stable (p = .517). Discussion: These findings suggest that while the intervention enhanced students' ability to adapt strategies and modify approaches to problem solving, the activities need to be revised and supplemented to stimulate quantitative idea generation. Conclusions: The results are discussed in the framework of the increasing integration of AI in educational settings, providing relevant inputs for the design of future pedagogical interventions that comprehensively promote the development of creative thinking.
Downloads
Article Details

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
The Journal of Communication of SEECI recognizes and promotes copyright rights, as well as the need to disseminate knowledge in an accessible and equitable manner. Our journal operates under a Creative Commons License CC BY-NC 4.0, which allows authors and users to:
- Share and Adapt: Copy, redistribute, and adapt the material published in the journal in any medium or format.
- Attribution: Properly acknowledge authorship and provide a link to the license, indicating if any changes have been made.
- Non-Commercial: Do not use the material for commercial purposes without the express permission of the authors and the journal.
- Authors retain copyright and may enter into non-exclusive agreements for self-archiving, deposit, or distribution of the publisher's version published in this journal, including institutional, national, or international repositories, and personal websites.
References
Benedek, M. y Fink, A. (2018). The interplay between flexibility and originality in creative thought. Frontiers in Psychology, 9, 986. https://doi.org/10.3389/fpsyg.2018.00986 DOI: https://doi.org/10.3389/fpsyg.2018.00986
Campbell, D. T. y Stanley, J. C. (1963). Experimental and quasi‐experimental designs for research. Houghton Mifflin.
Creswell, J. W. (2014). Research design: Qualitative, quantitative, and mixed methods approaches (4ta ed.). SAGE Publications.
Cropley, A. J. (2006). Creativity in education and learning: A guide for teachers and educators. Routledge.
de Dreu, C. K. W., Baas, M. y Nijstad, B. A. (2012). The role of individual and group creativity in creative problem solving: A research agenda. Creativity and Innovation Management, 21(1), 40-46. https://doi.org/10.1111/j.1467-8691.2012.00624.x DOI: https://doi.org/10.1111/j.1467-8691.2012.00624.x
Garaigordobil, M. y Berrueco, L. (2020). Effects of a play program on creative thinking of preschool children. Thinking Skills and Creativity, 37, 100682. https://doi.org/10.1016/j.tsc.2020.100682 DOI: https://doi.org/10.1016/j.tsc.2020.100682
Guilford, J. P. (1967). The nature of human intelligence. McGraw-Hill.
Guven, E. y Cakmak, M. (2019). Using LEGO robotics to enhance creativity in early childhood education. Early Child Development and Care, 189(3), 425-437. https://doi.org/10.1080/03004430.2017.1325492
Kim, K. H. y Coxon, S. V. (2020). The relationship between creativity and divergent thinking and their contribution to creative performance. Journal of Creative Behavior, 54(3), 455-467. https://doi.org/10.1002/jocb.385 DOI: https://doi.org/10.1002/jocb.385
Kim, K. H. y Lee, J. (2019). Enhancing creativity in children through a creativity program with LEGO blocks. Gifted Child Quarterly, 63(2), 141-157. https://doi.org/10.1177/0016986218823470
Lam, C. K. (2024). Technology-enhanced creativity in K-12 music education: A scoping review. International Journal of Music Education, 42(4), 691-703. https://doi.org/10.1177/02557614231194073 DOI: https://doi.org/10.1177/02557614231194073
Liu, Q., Zhou, Y., Huang, J. y Li, G. (2024). When ChatGPT is gone Creativity reverts and homogeneity persists. arXiv preprint, arXiv:2401.06816. https://arxiv.org/abs/2401.06816
Oates, A. y Johnson, D. (2025). ChatGPT in the Classroom: Evaluating its Role in Fostering Critical Evaluation Skills. International Journal of Artificial Intelligence in Education, 1-32. https://doi.org/10.1007/s40593-024-00452-8 DOI: https://doi.org/10.1007/s40593-024-00452-8
Oyarzún Yáñez, R. y Rodríguez Rodríguez, M. N. (2024). Escribir en la universidad con apoyo de IA: ansiedad y utilidad percibida en el uso de chat GPT. European Public and Social Innovation Review, 9, 349. https://doi.org/10.31637/epsir-2024-922 DOI: https://doi.org/10.31637/epsir-2024-922
Qablan, A., Alarabi, K. y Mansour, Y. (2023). STEM-based curriculum and creative thinking in high school students. Education Sciences, 13(12), 1195. https://doi.org/10.3390/educsci13121195 DOI: https://doi.org/10.3390/educsci13121195
Runco, M. A. y Jaeger, G. J. (2012). The standard definition of creativity. Creativity Research Journal, 24(1), 92-96. https://doi.org/10.1080/10400419.2012.650092 DOI: https://doi.org/10.1080/10400419.2012.650092
Shadish, W. R., Cook, T. D. y Campbell, D. T. (2002). Experimental and quasi‐experimental designs for generalized causal inference. Houghton Mifflin.
Shute, V. J. y Rahimi, S. (2017). Review of computer-based assessment for learning in elementary and secondary education. Journal of Computer Assisted Learning, 33(1), 1-19. https://doi.org/10.1111/jcal.12172 DOI: https://doi.org/10.1111/jcal.12172
Sternberg, R. J. (2006). The nature of creativity. Creativity Research Journal, 18(1), 87-98. https://doi.org/10.1207/s15326934crj1801_10 DOI: https://doi.org/10.1207/s15326934crj1801_10
Sternberg, R. J. y Lubart, T. I. (1996). Investing in creativity. American Psychologist, 51(7), 677-688. https://doi.org/10.1037/0003-066X.51.7.677 DOI: https://doi.org/10.1037//0003-066X.51.7.677
Suriano, R., Plebe, A., Acciai, A. y Fabio, R. A. (2025). Student interaction with ChatGPT can promote complex critical thinking skills. Learning and Instruction, 95, 102011. https://doi.org/10.1016/j.learninstruc.2024.102011 DOI: https://doi.org/10.1016/j.learninstruc.2024.102011
Torrance, E. P. (1966). The Torrance tests of creative thinking—norms—technical manual (Research ed.: Verbal tests, Forms A and B; Figural tests, Forms A and B). Personnel Press.
Torrance, E. P. (1998). Torrance tests of creative thinking: Norms—technical manual. Scholastic Testing Service.
Treffinger, D. J., Young, G. C., Selby, E. C. y Shepardson, C. (2002). Assessing creativity: A guide for educators. National Research Center on the Gifted and Talented, University of Connecticut. https://files.eric.ed.gov/fulltext/ED505548.pdf
Urban, M., Děchtěrenko, F., Lukavský, J., Hrabalová, V., Svacha, F., Brom, C. y 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 DOI: https://doi.org/10.1016/j.compedu.2024.105031
Artículos relacionados
Carral, U. y Elías, C. (2024). Aplicación de herramientas de IA como metodología para el análisis de la toxicidad en la conversación en redes sociales: Estudio de caso de la política española en Twitter. Revista Latina de Comunicación Social, 82, 1-18. https://doi.org/10.4185/rlcs-2024-2205 DOI: https://doi.org/10.4185/rlcs-2024-2205
Espejo Aubá, P. C. (2024). La Inteligencia Artificial en educación: percepciones y saberes de los docentes. European Public & Social Innovation Review, 9, 1-19. https://doi.org/10.31637/epsir-2024-898 DOI: https://doi.org/10.31637/epsir-2024-898
Girón, D. C. A., Yovera, S. E. R. y Torres de Salinas, F. de M. G., Soto, F. G. C. y Cadenas, D. I. V. (2025). The relationship between knowledge management and artificial intelligence: A thematic analysis from Scopus. Iberoamerican Journal of Science Measurement and Communication, 5(1), 1-10. https://doi.org/10.47909/ijsmc.1713 DOI: https://doi.org/10.47909/ijsmc.1713
González-Campos, J., López-Núñez, J. y Araya-Pérez, C. (2024). Educación superior e inteligencia artificial: desafíos para la universidad del siglo XXI. Aloma: Revista de Psicologia, Ciències de l'Educació i de l'Esport, 42(1), 79-90. https://doi.org/10.51698/aloma.2024.42.1.79-90 DOI: https://doi.org/10.51698/aloma.2024.42.1.79-90
Zúñiga, F., Mora Poveda, D. A. y Molina Mora, D. P. (2023). La importancia de la inteligencia artificial en las comunicaciones en los procesos marketing. Vivat Academia, 156, 19-39. https://doi.org/10.15178/va.2023.156.e1474 DOI: https://doi.org/10.15178/va.2023.156.e1474