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
  • Objective measurement of AI literacy: Development and validation of the AI competency objective scale (AICOS)

Sección IA: Inteligencia artificial Bibliografía

Objective measurement of AI literacy: Development and validation of the AI competency objective scale (AICOS)

André Markus
Astrid Carolus
Carolin Wienrich
2025
Computers & Education: Artificial Intelligence
9
https://www.sciencedirect.com/science/a…
artículo
validación de instrumentos
estudio empírico
inteligencia artificial
alfabetización en IA
evaluación
IA y educación
estudio empírico

Texto completo

As Artificial Intelligence (AI) becomes increasingly pervasive in everyday life, AI literacy is widely recognized as a set of essential competencies for navigating AI-driven environments safely, responsibly, and effectively. There is a growing need to assess this construct, for example, to inform targeted educational interventions. Although several measurement tools already exist, many show limitations regarding subjective data collection methods, differentiation between target groups, validity, and the integration of recent developments, such as Generative AI literacy. To address these limitations, this study introduces the AI Competency Objective Scale (AICOS) - an instrument grounded in a competency-oriented framework that enables a more objective assessment of AI literacy sub-competencies. AICOS draws on established theoretical models, integrates validated items from prior instruments, and explicitly incorporates Generative AI literacy as a distinct dimension. The AICOS provides a sound and comprehensive measure of AI literacy, and initial analyses indicate the potential for a modular structure. A preliminary short version of the scale has also been developed. Due to its methodological foundation, extensive validation, and incorporation of recent technological advancements, the test represents a valuable tool for scientific research and practical applications in educational and professional contexts. The AICOS contributes to the standardization of AI literacy assessment and supports the targeted development of AI-related competencies across diverse populations.

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

Enviar publicación

Contenidos relacionados

  • Overview and confirmatory and exploratory factor analysis of AI literacy scale
  • Developing and validating measures for AI literacy tests: From self-reported to objective measures
  • GLAT: The generative AI literacy assessment test
  • What do university students know about Artificial Intelligence? Development and validation of an AI literacy test
  • Safer interaction with IVAs: The impact of privacy literacy training on competent use of intelligent voice assistants
  • Empower the user - The impact of functional understanding training on usage, social perception, and self-determined interactions with intelligent voice assistants
Sobre Todoele Índice Publica Contacto: todoele@gmail.com
Política de privacidad Créditos