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Generative Artificial Intelligence: Ethical challenges and pedagogical implications in emerging educational contexts

Sep 2026 · International Journal of Combinatorial Optimization Problems and Informatics · 0 citations · 19 references
Artificial Intelligence in Healthcare and Education

Abstract

Generative Artificial Intelligence (GAI) has rapidly transformed higher education by introducing new possibilities for personalized learning and pedagogical innovation. It has emerged as a powerful support system capable of information processing and decision-making tasks in higher education. Unlike traditional educational technologies, models such as ChatGPT enable dynamic interaction with learners. Students engage with knowledge, complete academic tasks, and regulate their performance. Building upon previous studies, this article incorporates an expanded theorical framework, and a deeper ethical analysis of student perceptions and emotions, emphasizing its role as a support tool in their learning processes. The results suggest that while ChatGPT enhances efficiency, accessibility, and learner autonomy, it also introduces significant risks related to overreliance, academic integrity, and the loss of critical thinking skills. The study concludes that should be integrated as an academic mediator, emphasizing the need for ethical guidelines and pedagogical institutional redesign.   Spanish-language metadata / Metadatos en españolTítulo en español:Inteligencia Artificial Generativa: desafíos éticos e implicaciones pedagógicas en contextos educativos emergentes Resumen:La Inteligencia Artificial Generativa (IAG) ha transformado rápidamente la educación superior al introducir nuevas posibilidades para el aprendizaje personalizado y la innovación pedagógica. Se ha consolidado como un potente sistema de apoyo capaz de realizar tareas de procesamiento de información y toma de decisiones en el ámbito de la educación superior. A diferencia de las tecnologías educativas tradicionales, modelos como ChatGPT permiten una interacción dinámica con los estudiantes. Estos interactúan con el conocimiento, realizan tareas académicas y regulan su propio desempeño. A partir de estudios previos, este artículo incorpora un marco teórico ampliado y un análisis ético más profundo de las percepciones y emociones de los estudiantes, haciendo énfasis en el papel de la IAG como herramienta de apoyo en sus procesos de aprendizaje. Los resultados sugieren que, aunque ChatGPT mejora la eficiencia, la accesibilidad y la autonomía del estudiante, también introduce riesgos significativos relacionados con la dependencia excesiva, la integridad académica y la pérdida de habilidades de pensamiento crítico. El estudio concluye que la IAG debería integrarse como mediadora académica, destacando la necesidad de establecer directrices éticas y de llevar a cabo un rediseño pedagógico e institucional. Palabras Claves:Inteligencia Artificial Generativa, entorno educativo, procesos de aprendizaje Smart citations: SciteAI. Dimensions.Open Alex.

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