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
  • How ChatGPT impacts student engagement from a systematic review and meta-analysis study

Sección IA: Inteligencia artificial Bibliografía

How ChatGPT impacts student engagement from a systematic review and meta-analysis study

Yuk Mui Elly Heung
Thomas K.F. Chiu
2025
Computers & Education: Artificial Intelligence
8
https://www.sciencedirect.com/science/a…
artículo
metaanálisis
revisión bibliográfica
inteligencia artificial
ChatGPT
motivación
herramientas
factores afectivos
tecnología educativa
chatGPT
IA y aprendizaje
revisión de bibliografía

Texto completo

Generative artificial intelligence, such as ChatGPT, has been increasingly integrated into education to change student learning experience. Current empirical studies have mixed results on how ChatGPT impacts student behavioral, cognitive, and emotional engagement. This systematic literature review and meta-analysis explores whether and how ChatGPT impacts student behavioral, cognitive, and emotional engagement. We used the PRISMA method to select, analyze, and report the results. We screened 766 articles from four databases and identified 17 empirical studies with 1735 students for analysis. We compared the effect on student engagement between ChatGPT-based and non-ChatGPT learning. We found a medium effect size on overall student engagement in ChatGPT-based learning in the random effects model. Our analyses further suggest that ChatGPT-based learning is more effective in fostering student behavioral (medium effective size), cognitive (large effective size), and emotional engagement (medium effective size) than non-ChatGPT learning. Our findings revealed ChatGPT is an effective tool for engaging students in learning. We also suggested three roles ChatGPT plays in fostering student engagement: personalized tutoring, programming and technical assistance, and content generation and collaboration. Our systematic literature review revealed potential risks and results in student disengagement, such as over-reliance.

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

Enviar publicación

Contenidos relacionados

  • A systematic review and meta-analysis of the effectiveness of Generative Artificial Intelligence (GenAI) on students’ motivation and engagement
  • The effect of generative artificial intelligence (AI)-based tool use on students' computational thinking skills, programming self-efficacy and motivation
  • Understanding self-directed learning in AI-Assisted writing: A mixed methods study of postsecondary learners
  • Exploring the role of intrinsic motivation in ChatGPT adoption to support active learning: An extension of the technology acceptance model
  • Examining the effect of ChatGPT usage on students’ academic learning and achievement: A survey-based study in Ajman, UAE
  • A LLM-based pedagogical framework for active, inquiry-based and adaptive learning in L2 writing
Sobre Todoele Índice Publica Contacto: todoele@gmail.com
Política de privacidad Créditos