Generative Artificial Intelligence and Project-Based Learning: Transforming Inquiry and Creation in Secondary Educa
DOI:
https://doi.org/10.5281/zenodo.18446319Keywords:
Generative AI, ChatGPT, Project-Based Learning, Secondary Education, Pedagogical Innovation.Abstract
The rise of Generative Artificial Intelligence (GAI), exemplified by models such as ChatGPT, presents unprecedented challenges and opportunities for the Project-Based Learning (PBL) methodology at the secondary education level. This article analyzes how GAI can act as a catalyst in the different phases of a project: from ideation and design to prototyping and evaluation. The theoretical framework integrates the TPACK model with critical thinking standards. Through a methodological proposal, the use of AI is explored as a Socratic tutor that challenges students' ideas and personalizes learning paces. The results suggest that, under appropriate teacher mediation, GAI does not replace cognitive effort; instead, it allows students to reach higher levels of synthesis and creativity. It is concluded that AI-powered PBL fosters a critical digital literacy essential for the 21st century.
References
Anijovich, R., & Cappelletti, G. (2020). La evaluación como oportunidad. Paidós.
Buckingham, D. (2008). Más allá de la tecnología: Aprendizaje infantil en la era de la cultura digital. Manantial.
Gardner, H. (2011). Frames of Mind: The Theory of Multiple Intelligences. Basic Books.
Hattie, J., & Timperley, H. (2007). The Power of Feedback. Review of Educational Research, 77(1), 81-112.
Hernández-Sampieri, R., & Mendoza, C. P. (2018). Metodología de la investigación. McGraw-Hill.
Luckin, R. (2018). Machine Learning and Human Intelligence. UCL IOE Press.
Mishra, P., & Koehler, M. J. (2006). Technological pedagogical content knowledge. Teachers College Record, 108(6), 1017-1054.
Redecker, C. (2017). European Framework for the Digital Competence of Educators: DigCompEdu. Joint Research Centre.
Salomon, G. (1993). Distributed cognitions: Psychological and educational considerations. Cambridge University Press.
Selwyn, N. (2020). Should Robots Replace Teachers? AI and the Future of Education. Polity Press.
Siemens, G. (2004). Connectivism: A Learning Theory for the Digital Age. Elearnspace.
Thomas, J. W. (2000). A review of research on project-based learning. Autodesk Foundation.
UNESCO. (2023). Guidance for generative AI in education and research.
UNESCO. (2023). Generative AI and the future of education.
Vygotsky, L. S. (1978). Mind in Society. Harvard University Press.
Wardle, C., & Derakhshan, H. (2017). Information Disorder: Toward an interdisciplinary framework. Council of Europe.
Werbach, K., & Hunter, D. (2012). For the win: How game thinking can revolutionize your business. Wharton Digital Press.
Wiggins, G., & McTighe, J. (2005). Understanding by Design. ASCD.
Williamson, B. (2020). Datafication of education. Routledge.
Wood, D., Bruner, J. S., & Ross, G. (1976). The role of tutoring in problem solving. Journal of Child Psychology and Psychiatry, 17(2), 89-100.
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