Inicio
todoELE
  • Inicio
  • Materiales
    • πŸ“‹ Actividades
    • πŸ“ Conjugación
    • πŸ“Š Corpus
    • πŸ“” Diccionarios
    • βœ… Evaluación
    • βš™οΈ Gramática
    • πŸ“— Manuales
    • ✍️ Ortografía
    • πŸ“… Programación
    • πŸ—£οΈ Pronunciación
    • πŸ“ Recursos
    • πŸ”€ Vocabulario
    • πŸ’» Herramientas digitales
  • Formación
    • πŸ“š Bibliografía
    • πŸ‘₯ Congresos
    • πŸŽ“ Cursos
    • 🏫 Centros
    • 🏒 Organizaciones
    • πŸ“° Revistas
    • 🌍 Atlas de ELE
  • Trabajo
    • πŸ’Ό Ofertas de trabajo
    • ℹ️ Trabajo - Recursos
  • En la red
    • 🌐 Sitios ELE
    • πŸ“° Agregador
    • πŸ“§ Formespa
  • IA
    • ✨ Nuevos contenidos
    • πŸ“š Bibliografía IA
    • 🧰 Herramientas IA
    • πŸ’¬ Prompts
    • πŸ§ͺ Experiencias IA
    • 🌐 Sitios web IA
    • πŸ“° Actualidad IA
  • Comunidad
    • πŸ“° Actualidad ELE
    • 😊 Anécdotas ELE
    • πŸ“ Blog
    • πŸ“ŒTablón de anuncios
  • Buscar

Ruta de navegación

  • Inicio
  • Bibliografia
  • The impact of adopting AI educational technologies on projected course satisfaction in university students

Sección IA: Inteligencia artificial Bibliografía

The impact of adopting AI educational technologies on projected course satisfaction in university students

Paul Rodway
Astrid Schepman
2023
Computers & Education: Artificial Intelligence
5
https://www.sciencedirect.com/science/a…
artículo
encuesta
estudio empírico
inteligencia artificial
creencias y actitudes de los estudiantes
educación superior
IA y educación
estudio empírico

Texto completo

Artificial Intelligence (AI) applications for education are being developed at an increasing pace. It seems reasonable to assume that these applications would enhance student experiences and course satisfaction, and that therefore educational institutions should invest in these technologies to enhance their student offer. However, this should be tested empirically. In the current study a gender-balanced sample of 302 UK students rated course satisfaction, completed the General Attitudes towards AI Scale (GAAIS), comfortableness with AI educational applications, and course satisfaction if AI educational applications were adopted. Although students were, on average, moderately comfortable with AI educational applications, course satisfaction dropped in response to their hypothetical adoption. AI applications that assigned summative grades or that offered wellbeing support gave rise to the highest levels of discomfort. Students were more comfortable with career support, formative course support, and administrative support. Positive and Negative AI attitudes predicted the satisfaction difference, with mediation via comfortableness with applications. We recommend that Higher Education Institutions exercise caution before making major investments in AI educational applications.

Texto completo en abierto (CC BY-NC-ND 4.0).
  • Inicie sesión para enviar comentarios

Enviar publicación

Contenidos relacionados

  • A conceptual framework for determining metaverse adoption in higher institutions of gulf area: An empirical study using hybrid SEM-ANN approach
  • A cross-country analysis of self-determination and continuance use intention of AI tools in business education: Does instructor support matter?
  • AI advocates and cautious critics: How AI attitudes, AI interest, use of AI, and AI literacy build university students' AI self-efficacy
  • Modelling generative Al's influence on students' perceived decision capability: A cognitive load and decision augmentation approach
  • Extending the technology acceptance model: The role of subjective norms, ethics, and trust in AI tool adoption among students
  • Human-AI collaboration in higher education: Exploring the impact of technology expectations and distrust
Sobre Todoele Índice Publica Contacto: todoele@gmail.com
Política de privacidad Créditos