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Uso del deep learning para analizar Facebook y Google Classroom en el campo educativo

Use of deep learning to analyze Facebook and Google classroom in the educational field
Authors: Ricardo Adán Salas Rueda;

Uso del deep learning para analizar Facebook y Google Classroom en el campo educativo

Abstract

Actualmente, las herramientas tecnológicas están propiciado cambios sustanciales en el proceso de enseñanza-aprendizaje. El objetivo de este estudio cuantitativo y cualitativo es analizar las percepciones de los estudiantes sobre el uso de Facebook y Google classroom por medio de los algoritmos deep learning y árbol de decisión. Los participantes son 54 estudiantes (42 hombres y 12 mujeres) de la Facultad de Ciencias en la Universidad Nacional Autónoma de México durante el ciclo escolar 2022. En este estudio, los resultados del algoritmo deep learning señalan que Facebook y Google classroom influyen positivamente la motivación y participación en la educación a distancia. Asimismo, el algoritmo árbol de decisión facilitó la identificación de las condiciones predictivas sobre el uso de estas herramientas tecnológicas considerando las características de los estudiantes. Las limitaciones son el tamaño de la muestra y las variables dependientes. Por lo tanto, los futuros trabajos pueden analizar la incorporación de Facebook y Google classroom en las secundarias, preparatorias y universidades considerando los aspectos sobre el desarrollo de habilidades y la asimilación del conocimiento. En conclusión, los profesores pueden utilizar Facebook y Google classroom para favorecer la creación de nuevas actividades escolares, promover la participación de los alumnos desde cualquier lugar y motivar a los participantes durante el aprendizaje bajo la modalidad a distancia.

Country
Spain
Related Organizations
Keywords

Technology, TIC, T, percepción, social networking, algoritmo, Social Sciences, Artículos, educational technology, Theory and practice of education, tecnología de la educación, web, H, red social, tecnología educacional, enseñanza a distancia, estudiante, enseñanza superior, ICT, higher education, redes sociales, LB5-3640

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Green
gold