Videoanálisis de indagaciones científicas en la formación inicial docente: identificación de T-patterns
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Métricas alternativas

Métrica

Palabras clave

Preservice teacher education
observation
video recordings
instruction
research strategies Formación preparatoria de docentes
observación
grabación en vídeo
proceso de enseñanza
estrategias en la investigación

Cómo citar

Peguera-Carré, M. C., Curto Reverte, A., Coiduras Rodríquez, J. L., & Aguilar Camaño, D. (2023). Videoanálisis de indagaciones científicas en la formación inicial docente: identificación de T-patterns: [Video analysis of scientific inquiry in preservice teacher education: T-patterns identification]. Pixel-Bit. Revista De Medios Y Educación, 67, 123–153. https://doi.org/10.12795/pixelbit.96894

Resumen

La observación en la formación inicial de docentes se ha visto favorecida con la proliferación de herramientas digitales para el análisis de la actuación en el aula, junto a las prestaciones introducidas en el software para tratamientos más complejos de los datos. La literatura refiere la eficacia de las prácticas de videoanálisis en la transmisión y adquisición del conocimiento pedagógico. En este estudio cuasi-experimental se presentan los resultados de un proceso formativo basado en la observación y análisis de secuencias videográficas sobre indagación científica y su enseñanza en educación primaria. Los registros audiovisuales de treinta estudiantes del grado de educación primaria conduciendo sesiones de ciencias experimentales, antes y después del proceso formativo, muestran en el análisis estadístico y en los T-patterns cambios significativos en la apropiación de modelos didácticos basados en la indagación. Los docentes en formación inicial transitan desde una primera actuación basada en demostraciones científicas guiadas a una intervención posterior estructurada bajo planteamientos característicos de la práctica de investigación, con una mayor diversidad y movilización de las habilidades científicas acompañadas de ayudas pedagógicas.

https://doi.org/10.12795/pixelbit.96894
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