Transformando la educación: aplicaciones de visión artificial y procesamiento de imágenes en el aprendizaje personalizado
DOI:
https://doi.org/10.59814/resofro.2024.4(4)323Palabras clave:
Visión artificial; procesamiento de imágenes; aprendizaje personalizado; educación tecnológica.Resumen
La investigación "Transformando la Educación: Aplicaciones de Visión Artificial y Procesamiento de Imágenes en el Aprendizaje Personalizado" explora el impacto y las aplicaciones de tecnologías avanzadas en el ámbito educativo. Mediante un análisis bibliométrico utilizando las herramientas Bibliometrix y Scopus, se evaluaron numerosos estudios y publicaciones para identificar tendencias y avances en el uso de la visión artificial y el procesamiento de imágenes en el aprendizaje personalizado. Los resultados revelan un creciente interés académico en integrar estas tecnologías para adaptar el contenido educativo a las necesidades individuales de los estudiantes, mejorando así la eficacia del aprendizaje. El análisis también destaca las áreas de investigación más influyentes, los autores clave y las colaboraciones entre instituciones. Además, se identifican los principales desafíos y oportunidades, como la necesidad de desarrollar algoritmos más precisos y éticos, y la importancia de la capacitación docente en el uso de estas tecnologías. En conclusión, la investigación subraya el potencial transformador de la visión artificial y el procesamiento de imágenes en la educación personalizada, proponiendo que su implementación adecuada puede revolucionar la forma en que se imparten y reciben conocimientos, haciendo el aprendizaje más eficiente, accesible y adaptado a cada estudiante.
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Derechos de autor 2024 Guillermo Raúl Tumalli Naranjo, Luis Ángel Tumalli Naranjo , Guido George Ovaco Sandoya
Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-SinDerivadas 4.0.
