Articles producció científicaGestió d'Empreses

Passing with ChatGPT? Ethical Evaluations of Generative AI Use in Higher Education

  • Datos identificativos

    Identificador:  imarina:9469692
    Autores:  Pérez-Portabella A; Arias-Oliva M; Padilla-Castillo G; de Andrés-Sánchez J
    Resumen:
    The emergence of generative artificial intelligence (GenAI) in higher education offers new opportunities for academic support while also raising complex ethical concerns. This study explores how university students ethically evaluate the use of GenAI in three academic contexts: improving essay writing, preparing for exams, and generating complete essays without personal input. Drawing on the Multidimensional Ethics Scale (MES), the research assesses five philosophical frameworks—moral equity, relativism, egoism, utilitarianism, and deontology—based on a survey conducted among undergraduate social sciences students in Spain. The findings reveal that students generally view GenAI use as ethically acceptable when used to improve or prepare content, but express stronger ethical concerns when authorship is replaced by automation. Gender and full-time employment status also influence ethical evaluations: women respond differently than men in utilitarian dimensions, while working students tend to adopt a more relativist stance and are more tolerant of full automation. These results highlight the importance of context, individual characteristics, and philosophical orientation in shaping ethical judgments about GenAI use in academia.
  • Otros:

    Enlace a la fuente original: https://www.mdpi.com/2673-6470/5/3/33
    Referencia de l'ítem segons les normes APA: Pérez-Portabella A; Arias-Oliva M; Padilla-Castillo G; de Andrés-Sánchez J (2025). Passing with ChatGPT? Ethical Evaluations of Generative AI Use in Higher Education. Digital, 5(3), -. DOI: 10.3390/digital5030033
    Referencia al articulo segun fuente origial: Digital. 5 (3):
    DOI del artículo: 10.3390/digital5030033
    Año de publicación de la revista: 2025-09-01
    Entidad: Universitat Rovira i Virgili
    Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
    Fecha de alta del registro: 2026-02-13
    Autor/es de la URV: Arias Oliva, Mario / De Andrés Sánchez, Jorge
    Departamento: Gestió d'Empreses
    URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
    Tipo de publicación: Journal Publications
    Autor según el artículo: Pérez-Portabella A; Arias-Oliva M; Padilla-Castillo G; de Andrés-Sánchez J
    Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
    Áreas temáticas: Computer science (miscellaneous)
    Direcció de correo del autor: jorge.deandres@urv.cat
  • Palabras clave:

    Computer Science (Miscellaneous)
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