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
  • From procrastination to engagement? An experimental exploration of the effects of an adaptive virtual assistant on self-regulation in online learning

Sección IA: Inteligencia artificial Bibliografía

From procrastination to engagement? An experimental exploration of the effects of an adaptive virtual assistant on self-regulation in online learning

Eduard Pogorskiy
Jens F. Beckmann
2023
Computers & Education: Artificial Intelligence
4
https://www.sciencedirect.com/science/a…
artículo
estudio empírico
estudio experimental
inteligencia artificial
tecnología educativa
enseñanza en línea e híbrida
aprendizaje autónomo
metacognición
estrategias de aprendizaje
diferencias individuales
educación superior
IA y aprendizaje
estudio empírico

Texto completo en HTML

Compared to traditional classroom learning, success in online learning tends to depend more on the learner’s skill to self-regulate. Self-regulation is a complex meta-cognitive skill set that can be acquired. This study explores the effectiveness of a virtual learning assistant in terms of (a) developmental, (b) general compensatory, and (c) differential compensatory effects on learners’ self-regulatory skills in a sample of N = 157 online learners using an experimental intervention-control group design. Methods employed include behavioural trace data as well as self-reporting measures. Participants provided demographic information and responded to a 24-item self-regulation questionnaire and a 20-item personality trait questionnaire. Results indicate that the adaptive assistance did not lead to substantial developmental shifts as captured in learners’ perceived levels of self-regulation. However, various patterns of behavioural changes emerged in response to the intervention. This suggests that the virtual learning assistant has the potential to help online learners effectively compensate for deficits (in contrast to developmental shifts) in self-regulatory skills that might not yet have been developed.

  • Inicie sesión para enviar comentarios

Enviar publicación

Contenidos relacionados

  • Effects of integrating an open learner model with AI-enabled visualization on students' self-regulation strategies usage and behavioral patterns in an online research ethics course
  • Sequential, typological, and academic dynamics of self-regulated learners: Learning analytics of an undergraduate chemistry online course
  • Personality traits for self-regulated learning with generative artificial intelligence: The case of ChatGPT
  • Learners’ web navigation behaviour beyond learning management systems: A way into addressing procrastination in online learning?
  • Towards an understanding of the engagement and emotional behaviour of MOOC students using sentiment and semantic features
  • Empowering the autonomous learner: How AI-assisted language learning environments shape self-regulation, autonomy, and self-directed behaviors
Sobre Todoele Índice Publica Contacto: [email protected]
Política de privacidad Créditos