Persona:
Muñoz Martínez, César

Foto de perfil
Dirección de correo electrónico
ORCID
0000-0002-2255-1757
Fecha de nacimiento
Proyectos de investigación
Unidades organizativas
Puesto de trabajo
Apellidos
Muñoz Martínez
Nombre de pila
César
Nombre

Filtros

20251
Restablecer filtros

Ajustes

Autor: Castelló-Sirvent, Fernando × Fecha de inicio: 2020 ×

Resultados de la búsqueda

Mostrando 1 - 1 de 1
  • Miniatura
    Publicación
    Generative AI and critical thinking in online higher education: challenges and opportunities
    (UNED, UTPL, AIESAD, 2025-04-09) Muñoz Martínez, César; Roger-Monzo, Vanessa; Castelló-Sirvent, Fernando
    Generative artificial intelligence (GAI) is reshaping higher education, particularly in virtual learning environments where the prevalence of asynchronous activities requires students to take an active role in managing their own learning. Its integration presents both challenges and opportunities for educators, who not only support critical thinking but also need techno-pedagogical skills to guide its ethical and reflective use. This exploratory study examines the incorporation of GAI into distance education across five dimensions: barriers that limit critical thinking, factors that can enhance it, available socio-technological alternatives, social challenges and broader implications of strengthening this skill. A qualitative approach was used, based on semi-structured interviews with eleven higher education experts. The findings highlight key obstacles, including limited teacher training in GAI and critical thinking, institutional resistance and a lack of clear guidelines. However, digital literacy, pedagogical innovation and adapted assessment methods can help overcome these barriers. Among the proposed solutions are the development of edu-chatbots in controlled university environments and frameworks to assess algorithmic biases. Even so, ensuring equitable access and avoiding an uncritical reliance on AI persist as notable challenges. This study contributes by proposing five action areas to support educators and academic decision-makers in integrating GAI and shaping educational policies. Its implementation requires collaboration between institutions, faculty and policymakers to ensure that AI-driven automation not only enhances educational processes but also fosters critical thinking meaningfully.