Diseño de una Propuesta Metodológica para la Aplicación de la Lagen para el Aprendizaje de las Ciencias Naturales en Estudiantes de Secundaria Bajo el Enfoque Stem

Bernal Acosta, Leidy Lorena; Hernández Pulido, Andrés

Diseño de una Propuesta Metodológica para la Aplicación de la Lagen para el Aprendizaje de las Ciencias Naturales en Estudiantes de Secundaria Bajo el Enfoque Stem

dc.contributor.advisor	Hernández Echavarria, Yonier
dc.contributor.author	Bernal Acosta, Leidy Lorena
dc.contributor.author	Hernández Pulido, Andrés
dc.contributor.corporatename	Universidad Santo Tomás
dc.contributor.cvlac	https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0000780448
dc.contributor.cvlac	https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001628545
dc.contributor.googlescholar	https://scholar.google.com/citations?user=OEIcNfgAAAAJ&hl=es&oi=ao
dc.contributor.orcid	https://orcid.org/0009-0004-6517-3516
dc.contributor.orcid	https://orcid.org/0009-0003-1055-8825
dc.date.accessioned	2025-09-18T13:03:52Z
dc.date.available	2025-09-18T13:03:52Z
dc.date.issued	2025-09-16
dc.description	La Inteligencia Artificial Generativa (IAGen) está transformando la educación al potenciar la personalización del aprendizaje, el uso de simulaciones y la colaboración. Este proyecto analiza su integración en el aprendizaje de las ciencias naturales dentro de un enfoque STEM, mediante una Olimpiada de Ciencias mediada por IAGen. En esta, estudiantes de bachillerato investigan problemáticas ambientales relacionadas con el uso del suelo y cuerpos de agua cercanos a sus colegios y en diferentes zonas del país. La investigación, de enfoque cualitativo e intervención, evalúa una estrategia pedagógica STEM con IAGen para desarrollar habilidades científicas y computacionales, estructurada en cuatro fases: diagnóstico, concepción, diseño y validación, promoviendo pensamiento crítico, autonomía y ética. Los resultados evidencian un uso limitado de la IAGen en tareas científicas avanzadas y en herramientas digitales más allá de Chatbots como Chat GPT, destacando la necesidad de fortalecer la formación en IA aplicada en la ciencia escolar. Se concluye que la IAGen tiene un gran potencial educativo si se reorienta su uso, promoviendo su integración como una herramienta clave para el aprendizaje científico y el desarrollo de competencias, más allá de los chatbots, explorando todo su alcance en la educación STEM.
dc.description.abstract	Generative Artificial Intelligence (GenAI) is transforming education by enhancing personalized learning, the use of simulations, and collaboration. This project analyzes its integration into natural science learning within a STEM approach through a GenAI-mediated Science Olympiad. In this context, high school students investigate environmental issues related to land use and nearby bodies of water in their schools and in different regions of the country. The research, with a qualitative and intervention approach, evaluates a STEM pedagogical strategy using GenAI to develop scientific and computational skills, structured in four phases: diagnosis, conception, design, and validation, fostering critical thinking, autonomy, and ethics. The results show a limited use of GenAI in advanced scientific tasks and in digital tools beyond chatbots like ChatGPT, highlighting the need to strengthen training in AI applied to school science. It is concluded that GenAI has great educational potential if its use is reoriented, promoting its integration as a key tool for scientific learning and skills development, beyond chatbots, exploring its full scope in STEM education.
dc.description.degreelevel	Doctorado	spa
dc.description.degreename	Doctor en Eduación	spa
dc.format.mimetype	application/pdf
dc.identifier.citation	Bernal Acosta L. L. Hernández Pulido A. (2025). M. [Trabajo de grado Mastria. Universidad Santo Tomas]. Repositorio Institucional.
dc.identifier.instname	instname:Universidad Santo Tomás	spa
dc.identifier.reponame	reponame:Repositorio Institucional Universidad Santo Tomá	spa
dc.identifier.repourl	repourl:https://repository.usta.edu.co	spa
dc.identifier.uri	http://hdl.handle.net/11634/69724
dc.language	spa	spa
dc.publisher	Universidad Santo Tomás	spa
dc.publisher.branch	CRAI-USTA Bogotá
dc.publisher.faculty	Facultad de Educación	spa
dc.publisher.program	Doctorado en Educación	spa
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dc.rights	Attribution-NonCommercial-NoDerivs 2.5 Colombia	en
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dc.rights.local	Abierto (Texto Completo)	spa
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/2.5/co/
dc.subject.keyword	Generative Artificial Intelligence (GenAI)
dc.subject.keyword	STEM Education
dc.subject.keyword	Personalized Learning
dc.subject.keyword	Science Olympiad
dc.subject.keyword	Scientific and Computational Skills
dc.subject.lemb	Educación STEM para el desarrollo social
dc.subject.lemb	Estrategias pedagógicas
dc.subject.lemb	Ética en la inteligencia artificial
dc.subject.proposal	Inteligencia Artificial Generativa (IAGen)
dc.subject.proposal	Educación STEM
dc.subject.proposal	Aprendizaje personalizado
dc.subject.proposal	Olimpiada de Ciencias
dc.subject.proposal	Habilidades científicas y computacionales
dc.title	Diseño de una Propuesta Metodológica para la Aplicación de la Lagen para el Aprendizaje de las Ciencias Naturales en Estudiantes de Secundaria Bajo el Enfoque Stem
dc.type	master thesis
dc.type.category	Formación de Recurso Humano para la Ctel: Trabajo de grado de Maestría
dc.type.coar	http://purl.org/coar/resource_type/c_db06
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dc.type.local	Tesis doctoral	spa
dc.type.version	info:eu-repo/semantics/acceptedVersion