Navigating the ethical landscape: Exploring heteronomous and autonomous strategies in integrating generative AI tools in management education

Luisa Fernanda Manrique Molina; Camilo Andres Ramirez; William Fernando Durán

doi:10.1108/JIEB-09-2024-0130

Navigating the ethical landscape: Exploring heteronomous and autonomous strategies in integrating generative AI tools in management education

Título traducido de la contribución: Navegando por el panorama ético: explorando estrategias heterónomas y autónomas para integrar herramientas de IA generativa en la educación en administración

Luisa Fernanda Manrique Molina, Camilo Andres Ramirez, William Fernando Durán

Departamento de Administración

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Resumen

Objetivo
El objetivo de este estudio es explorar la integración de herramientas de inteligencia artificial generativa (IA) en un curso obligatorio de administración en la educación superior, haciendo hincapié en la educación en administración responsable (EAR) y su alineación con los Objetivos de Desarrollo Sostenible de las Naciones Unidas. La investigación utiliza la teoría del desarrollo moral de Kohlberg como marco para comprender cómo la coherencia ética influye en el uso responsable de la IA generativa en entornos educativos.

Diseño/metodología/enfoque
Se utilizó un diseño cuasi-experimental, con una muestra de 150 estudiantes universitarios de administración de empresas. El estudio examinó el impacto de la coherencia moral en el uso ético de las herramientas de IA generativa por parte de los estudiantes en sus trabajos de curso. Se analizaron estrategias para integrar estas herramientas en el diseño instruccional, con un enfoque en promover la toma de decisiones autónoma y basada en la ética.

Resultados
La investigación revela que los estudiantes con mayores niveles de coherencia moral muestran un comportamiento más ético en su uso de la IA generativa. Las estrategias educativas que enfatizan la autonomía condujeron a una mejor integración de estas tecnologías en contextos educativos.

Título traducido de la contribución	Navegando por el panorama ético: explorando estrategias heterónomas y autónomas para integrar herramientas de IA generativa en la educación en administración
Idioma original	Inglés
Publicación	Journal of International Education in Business
DOI	https://doi.org/10.1108/JIEB-09-2024-0130
Estado	Publicada - 12 sep. 2025

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

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Integrating Generative AI in Marketing Higher Education: An Educational Intervention
Manrique Molina, L. F., 05 dic. 2023.
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title = "Navigating the ethical landscape: Exploring heteronomous and autonomous strategies in integrating generative AI tools in management education",

abstract = "Purpose This study aims to explore the integration of generative artificial intelligence (AI) tools within a mandatory management course in higher education, emphasizing responsible management education (RME) and its alignment with the United Nations Sustainable Development Goals. The research uses Kohlberg{\textquoteright}s Theory of Moral Development as a framework for understanding how ethical consistency influences the responsible use of generative AI in educational settings. Design/methodology/approach A quasi-experimental design was used, involving a sample of 150 business administration undergraduates. The study examined the impact of moral consistency on students{\textquoteright} ethical use of generative AI tools in coursework. Strategies for integrating these tools into instructional design were analyzed, with a focus on promoting autonomous and ethically grounded decision-making. Findings The research reveals those students with higher levels of moral consistency exhibit more ethical behavior in their use of generative AI. Instructional strategies that emphasize autonomy led to better integration of these technologies in educational contexts. Research limitations/implications Future research could explore diverse student populations and AI applications in other disciplines. Long-term implications of ethical AI usage on professional practices also warrant further investigation. Practical implications The findings provide educators with effective strategies for promoting ethical AI use in business education. Originality/value This study contributes to the discourse on RME by offering actionable strategies for educators to incorporate ethical considerations into their teaching. It highlights the importance of autonomous strategies in preparing students to navigate ethical challenges posed by AI technologies.",

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Navigating the ethical landscape: Exploring heteronomous and autonomous strategies in integrating generative AI tools in management education. / Molina, Luisa Fernanda Manrique; Ramirez, Camilo Andres; Durán, William Fernando.
En: Journal of International Education in Business, 12.09.2025.

Producción: Contribución a una revista › Artículo › revisión exhaustiva

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AB - Purpose This study aims to explore the integration of generative artificial intelligence (AI) tools within a mandatory management course in higher education, emphasizing responsible management education (RME) and its alignment with the United Nations Sustainable Development Goals. The research uses Kohlberg’s Theory of Moral Development as a framework for understanding how ethical consistency influences the responsible use of generative AI in educational settings. Design/methodology/approach A quasi-experimental design was used, involving a sample of 150 business administration undergraduates. The study examined the impact of moral consistency on students’ ethical use of generative AI tools in coursework. Strategies for integrating these tools into instructional design were analyzed, with a focus on promoting autonomous and ethically grounded decision-making. Findings The research reveals those students with higher levels of moral consistency exhibit more ethical behavior in their use of generative AI. Instructional strategies that emphasize autonomy led to better integration of these technologies in educational contexts. Research limitations/implications Future research could explore diverse student populations and AI applications in other disciplines. Long-term implications of ethical AI usage on professional practices also warrant further investigation. Practical implications The findings provide educators with effective strategies for promoting ethical AI use in business education. Originality/value This study contributes to the discourse on RME by offering actionable strategies for educators to incorporate ethical considerations into their teaching. It highlights the importance of autonomous strategies in preparing students to navigate ethical challenges posed by AI technologies.

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Navigating the ethical landscape: Exploring heteronomous and autonomous strategies in integrating generative AI tools in management education

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ODS de las Naciones Unidas

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Integrating Generative AI in Marketing Higher Education: An Educational Intervention

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