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ZENODO
Journal . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Journal . 2024
License: CC BY
Data sources: Datacite
ZENODO
Journal . 2024
License: CC BY
Data sources: Datacite
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Tecnologías emergentes en el aprendizaje de estudiantes con necesidades especiales: una revisión sistemática

Authors: Tornero Roballo, Jashmin Jacquelin; Pérez Saavedra, Segundo Sigifredo;

Tecnologías emergentes en el aprendizaje de estudiantes con necesidades especiales: una revisión sistemática

Abstract

RESUMEN Esta revisión sistemática sobre tecnologías emergentes en la educación especial tuvo como objetivo evaluar el impacto de estas tecnologías en las intervenciones educativas para estudiantes con necesidades especiales. Como método, se seleccionaron 37 artículos publicados entre 2020 y 2024, utilizando palabras clave y operadores booleanos en diferentes bases de datos, como Scopus, ERIC, ScienceDirect, Web of Science y ProQuest, siguiendo la guía PRISMA. Los resultados revelan que las tecnologías más utilizadas son los dispositivos móviles y las aplicaciones (27.5%), la realidad virtual y aumentada (15%) y los robots educativos (12.5%). Estas intervenciones abordaron diversas necesidades especiales, incluyendo discapacidad intelectual, trastornos del espectro autista y dificultades de aprendizaje específicas. Como conclusión principal, se encontró un impacto positivo en diversas áreas, como mejoras en habilidades cognitivas y de aprendizaje, aumento de la atención y el compromiso, desarrollo de habilidades sociales y comunicativas y adquisición de habilidades prácticas y funcionales. Aunque los resultados son prometedores y destacan el potencial transformador de las tecnologías emergentes en la educación especial, muchos estudios recomiendan investigaciones adicionales con muestras más grandes y de mayor duración para obtener resultados más robustos y concluyentes.

ABSTRACT This systematic review on emerging technologies in special education aimed to evaluate the impact of these technologies on educational interventions for students with special needs. As a method, 37 articles published between 2020 and 2024 were selected, using keywords and Boolean operators in different databases, such as Scopus, ERIC, ScienceDirect, Web of Science and ProQuest, following the PRISMA guide. The results reveal that the most used technologies are mobile devices and apps (27.5%), virtual and augmented reality (15%) and educational robots (12.5%). These interventions addressed a variety of special needs, including intellectual disability, autism spectrum disorders and specific learning difficulties. As a main conclusion, a positive impact was found in several areas, such as improvements in cognitive and learning skills, increased attention and engagement, development of social and communication skills, and acquisition of practical and functional skills. Although the results are promising and highlight the transformative potential of emerging technologies in special education, many studies recommend further research with larger samples and longer durations to obtain more robust and conclusive results.

Keywords

tecnología educacional, innovación, necesidades educacionales, educational technology, innovation, educational needs

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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).
    0
    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.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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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!
0
Average
Average
Average
Green