Metaanálisis del desarrollo de motricidad gruesa con la evolución de la inteligencia artificial

  • Martha Verónica Chachalo Sandoval Unidad Educativa Fiscal Atahualpa
  • Jaime Efrén Torres Baño Dirección Distrital De Educación 17d02 Calderón
  • Fátima Elizabeth Torres Baño Unidad Educativa República 24 de Mayo
  • Diego Armando Rodríguez Cueva Unidad Educativa Juan Montalvo
  • Andrea Carolina Álvarez Gallegos UE Bilingue Anan
  • José Esteban Andrade Chiriboga Escuela de EGB Nicolás Jiménez
Palabras clave: Motricidad gruesa, Inteligencia artificial (IA), Intervenciones, Estudios controlados aleatorios, Calidad de estudios, Puntuación de Jadad

Resumen

El desarrollo de la motricidad gruesa es crucial en las etapas tempranas de la vida, ya que contribuye a la capacidad del niño para interactuar con su entorno y participar en juegos y actividades físicas. En este sentido el objetivo de este artículo es realizar un metaanálisis del desarrollo de la motricidad gruesa con la evolución de la inteligencia artificial. La metodología aplicada se realizó con el estudio de metaanálisis aplicando la escala de Jadad y el d de Cohen, en dos momentos del estudio para motores de búsqueda de Scopus (Muestra de estudio 1= 32 artículos; muestra de estudio 2= 8 artículos), partiendo de 2 hipótesis. El análisis de las hipótesis (H1 y H2) mostró que, aunque hay indicios de la presencia de IA en el desarrollo motor, la calidad de la evidencia es limitada, ya que muchos estudios no cumplen con los criterios de calidad necesarios. Se demostró que, aunque el interés en el uso de IA para mejorar la motricidad gruesa está en aumento, la evidencia actual no es suficiente para establecer conclusiones definitivas, lo que sugiere la necesidad de estudios más sólidos en el futuro.

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Publicado
2024-09-03
Cómo citar
Chachalo Sandoval, M. V., Torres Baño, J. E., Torres Baño , F. E., Rodríguez Cueva, D. A., Álvarez Gallegos , A. C., & Andrade Chiriboga, J. E. (2024). Metaanálisis del desarrollo de motricidad gruesa con la evolución de la inteligencia artificial . GADE: Revista Científica, 4(4), 22-36. Recuperado a partir de https://revista.redgade.com/index.php/Gade/article/view/485

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