Recursos virtuales inteligentes como medio para que los estudiantes de primaria estudien campos educativos
DOI:
https://doi.org/10.46502/issn.1856-7576/2026.20.02.16Palabras clave:
análisis de registros, aprendizaje adaptativo, competencias digitales, IA en la educación, motivación del estudianteResumen
La relevancia del estudio se deriva de la falta de evidencia empírica sobre la efectividad de la IA y la realidad virtual integradas en recursos virtuales inteligentes para los estudiantes de escuela primaria, especialmente en contextos impulsados por crisis como Ucrania bajo ley marcial. El objetivo es verificar experimentalmente el impacto de estas soluciones digitales basadas en el aprendizaje automático sobre la dinámica de la motivación de aprendizaje y el rendimiento académico de los estudiantes. Se utilizó una combinación de métodos pedagógicos tradicionales (cuestionarios, pruebas) y análisis automatizado de archivos de registro de plataformas digitales para recopilar datos. El procesamiento estadístico incluyó estadísticas descriptivas, la correlación de Pearson, la prueba t de Student y la prueba U de Mann-Whitney.
Según los resultados de la encuesta, el 83,3% de los profesores registró un aumento en la motivación de los estudiantes, y la calificación promedio de los recursos virtuales inteligentes fue de 4,4/5. El grupo experimental (EG) demostró resultados de prueba más altos con un rango intercuartil más estrecho (72,0-80,0) que el grupo control (CG).
El estudio proporciona confirmación empírica de la eficacia del uso de recursos virtuales interactivos en la escuela primaria para mejorar la motivación y estabilizar los resultados del aprendizaje. A diferencia de los relatos puramente descriptivos, esta investigación aporta datos empíricos originales del contexto ucraniano en tiempos de guerra. Otras perspectivas de investigación deberían centrarse en estudiar los efectos a largo plazo de los recursos virtuales inteligentes, especialmente su impacto sobre la estabilidad del rendimiento educativo.
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Derechos de autor 2026 Hanna Byhar, Iryna Pits, Inna Prokop, Krystyna Shevchuk, Olha Shestobuz
Esta obra está bajo una licencia internacional Creative Commons Atribución 4.0.
