Chat GPT as a Catalyst for Creative Thinking

Authors

DOI:

https://doi.org/10.31637/epsir-2024-410

Keywords:

creativity, education, artificial intelligence, collaboration, songs, students, originality, algorithmic mediation, Torrancen

Abstract

Introduction: This study investigates the impact of the Chat GPT language model on the development of creative thinking in students aged 12 to 13 at an educational institution in Chile. Methodology: Using Ellis Torrance's Theory of Creativity and applying the Torrance Tests of Creative Thinking (TTCT) in a pretest and posttest, creativity was evaluated in terms of fluency, flexibility, and originality. The intervention consisted of the collaborative creation of songs with the help of Chat GPT. Results: The results indicated a significant increase in flexibility and originality indicators, although a slight decrease in fluency was observed. Discussion: These findings suggest that integrating Artificial Intelligence (AI) into creative activities can enhance creative thinking and foster collaboration among students, offering new opportunities for innovation in the educational field. Conclusions: The integration of Chat GPT as an educational tool has the potential to enrich the learning process and promote critical creative skills for the 21st century.

Downloads

Download data is not yet available.

Author Biography

Eduardo Silva-Fuentealba, Universidad Bernardo O'Higgins

The author holds a Bachelor's degree in Education and in Musical Arts and Sciences, as well as a Master's degree in Educational Management. His research focuses on the integration of artificial intelligence, such as ChatGPT, in the development of creative thinking and collaboration in educational environments. With a strong academic background and experience in the educational field, the author has explored how AI tools can enhance students' creative thinking, especially in the context of collaborative spaces. His work aims to contribute significantly to the understanding of AI applications as catalysts for human thinking, highlighting the collaboration between individuals and machines to enhance teaching and learning processes.

References

Ahmad Ali Elfar, M. y Tawfilis Dawood, M. E. (2023). Using Artificial Intelligence for enhancing Human Creativity. Journal of Art Design and Music, 2(2), 106-120. https://doi.org/10.55554/2785-9649.1017 DOI: https://doi.org/10.55554/2785-9649.1017

Amabile, T. M. (1983). The Social Psychology of Creativity. Springer-Verlag. DOI: https://doi.org/10.1007/978-1-4612-5533-8

Amabile, T. M. (1996). Creativity in Context: Update to the Social Psychology of Creativity. Westview Press.

América Retail. (2023, 23 de enero). La IA se convierte en una herramienta fundamental para la creación de campañas y la organización de eventos corporativos. América Retail. https://bit.ly/3LdyVq1

Barron, F. y Harrington, D. M. (1981). Creativity, intelligence, and personality. Annual Review of Psychology, 32(1), 439-476. https://doi.org/10.1146/annurev.ps.32.020181.002255 DOI: https://doi.org/10.1146/annurev.ps.32.020181.002255

Beghetto, R. A. y Kaufman, J. C. (2014). Classroom contexts for creativity. High Ability Studies, 25(1), 53-69. https://doi.org/10.1080/13598139.2014.905247 DOI: https://doi.org/10.1080/13598139.2014.905247

Boden, M. A. (2004). The Creative Mind: Myths and Mechanisms. Routledge. DOI: https://doi.org/10.4324/9780203508527

Brown, T. B., Mann, B., Ryder, N., Subbiah, M., Kaplan, J., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., Agarwal, S., Herbert-Voss, A., Krueger, G., Henighan, T., Child, R., Ramesh, A., Ziegler, D., Wu, J., Winter, C. y Amodei, D. (2020). Language models are few-shot learners. arXiv preprint arXiv:2005.14165. https://arxiv.org/abs/2005.14165

Campbell, D. T. y Stanley, J. C. (1963). Experimental and Quasi-Experimental Designs for Research. Houghton Mifflin Company.

Creswell, J. W. (2014). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches. Sage Publications.

Csikszentmihalyi, M. (1990). Flow: The Psychology of Optimal Experience. Harper & Row.

Csikszentmihalyi, M. (1996). Creativity: Flow and the Psychology of Discovery and Invention. HarperCollins.

Fundación Cruzando (2023). Creatividad y educación. https://bit.ly/3rU67FT

García-Peña, V. R., Mora-Marcillo, A. B. y Ávila-Ramírez, J. A. (2020). La inteligencia artificial en la educación: Impacto y oportunidades. Journal of Educational Technology, 15(2), 123-138.

https://dialnet.unirioja.es/servlet/articulo?codigo=8231632

Guilford, J. P. (1950). Creativity. American Psychologist, 5(9), 444-454. https://doi.org/10.1037/h0063487 DOI: https://doi.org/10.1037/h0063487

Guilford, J. P. (1967). The Nature of Human Intelligence. McGraw-Hill.

Habib, S. (2024). AI can help, and hurt, student creativity. Phys.org. https://phys.org/news/2024-02-ai-student-creativity.html

Kaufman, J. C. y Sternberg, R. J. (2010). The Cambridge Handbook of Creativity. Cambridge University Press. DOI: https://doi.org/10.1017/CBO9780511763205

Kim, K. H. (2006). Can we trust creativity tests? A review of the Torrance Tests of Creative Thinking (TTCT). Creativity Research Journal, 18(1), 3-14. https://doi.org/10.1207/s15326934crj1801_2 DOI: https://doi.org/10.1207/s15326934crj1801_2

Marrone, T., Taddeo, M. y Hill, A. (2022). Creativity and Artificial Intelligence—A Student Perspective. Journal of Intelligence, 10(3), 65. https://doi.org/10.3390/jintelligence10030065 DOI: https://doi.org/10.3390/jintelligence10030065

Mazzone, M. y Elgammal, A. (2019). Art, creativity, and the potential of artificial intelligence. Arts, 8(1), 26. https://doi.org/10.3390/arts8010026 DOI: https://doi.org/10.3390/arts8010026

McCormack, J., Gifford, T. y Hutchings, P. (2019). Autonomy, Authenticity, Authorship and Intention in Computer Generated Art. Journal of Artificial Intelligence and Consciousness, 6(2), 234-260. https://doi.org/10.1142/S2705078519500095

Park, J. H., Niu, W., Cheng, L. y Allen, H. (2021). Fostering Creativity and Critical Thinking in College: A Cross-Cultural Investigation. Frontiers in Psychology, 12, 760351. https://doi.org/10.3389/fpsyg.2021.760351 DOI: https://doi.org/10.3389/fpsyg.2021.760351

Robinson, K. (2006, febrero). Do schools kill creativity? [Video]. TED Conferences. https://www.ted.com/talks/ken_robinson_says_schools_kill_creativity

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

Sawyer, R. K. (2012). Explaining Creativity: The Science of Human Innovation. Oxford University Press.

Shadish, W. R., Cook, T. D. y Campbell, D. T. (2002). Experimental and Quasi-Experimental Designs for Generalized Causal Inference. Houghton Mifflin.

Torrance, E. P. (1974). The Torrance Tests of Creative Thinking - Norms-Technical Manual Research Edition. Personnel Press.

Zhou, Y., Kuo, Y.-H. y Chang, Y. (2021). Intelligent Tutoring Systems: Past, Present, and Future. IEEE Transactions on Learning Technologies, 14(1), 1-20. https://myweb.fsu.edu/vshute/pdf/shute%201996_d.pdf

Published

2024-08-12

How to Cite

Silva-Fuentealba, E. (2024). Chat GPT as a Catalyst for Creative Thinking. European Public & Social Innovation Review, 9, 1–19. https://doi.org/10.31637/epsir-2024-410

Issue

Section

INNOVATING IN THE GALAXY OF ARTIFICIAL INTELLIGENCE