Embodied Learning Enhanced with Technology in Special Education: A Systematic Literature Review

With the rapid development of technology, the potential of Embodied Cognition (EC) in educational environments is increasingly being explored. Various studies have been conducted based on Embodied Learning (EL) for individuals with special needs. In this study, a systematic review was made of the use of technology enhanced EL applications for individuals with special needs between 2013 and 2023. As a result of the systematic review, it was seen that there has been an increase in study in recent years. Studies have mostly been conducted at primary school and university levels and with individuals with Autism Spectrum Disorder (ASD). Achievement and standardized tests, observations, scales, video recordings, interviews, and system logs have generally been used as data collection tools. The focus has been on the cognitive, motor and social-emotional development of individuals with special needs that can be achieved through EL applications. Kinect technology was the most widely used. However, there was also a trend towards studies that take into account the potential of camera systems and image processing technologies to process complex motion data in a wider area. The studies examined were rich in terms of evaluation methods. There are also studies emphasizing the importance of automatic evaluation systems.

Authors

Institutions

Publication Details

Journal
Buca eğitim fakültesi dergisi (Online)/Buca Eğitim Fakültesi dergisi
Published
2025-03-27
DOI
https://doi.org/10.53444/deubefd.1576072
Primary Topic
Assistive Technology in Communication and Mobility
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Embodied Learning Enhanced with Technology in Special Education: A Systematic Literature Review

Rabia Özdemir Sarıalioğlu, Yasemin Karal
Buca eğitim fakültesi dergisi (Online)/Buca Eğitim Fakültesi dergisi
Assistive Technology in Communication and Mobility
article

Embodied Learning Enhanced with Technology in Special Education: A Systematic Literature Review

Rabia Özdemir Sarıalioğlu, Yasemin Karal
article en

Abstract

With the rapid development of technology, the potential of Embodied Cognition (EC) in educational environments is increasingly being explored. Various studies have been conducted based on Embodied Learning (EL) for individuals with special needs. In this study, a systematic review was made of the use of technology enhanced EL applications for individuals with special needs between 2013 and 2023. As a result of the systematic review, it was seen that there has been an increase in study in recent years. Studies have mostly been conducted at primary school and university levels and with individuals with Autism Spectrum Disorder (ASD). Achievement and standardized tests, observations, scales, video recordings, interviews, and system logs have generally been used as data collection tools. The focus has been on the cognitive, motor and social-emotional development of individuals with special needs that can be achieved through EL applications. Kinect technology was the most widely used. However, there was also a trend towards studies that take into account the potential of camera systems and image processing technologies to process complex motion data in a wider area. The studies examined were rich in terms of evaluation methods. There are also studies emphasizing the importance of automatic evaluation systems.

Buca eğitim fakültesi dergisi (Online)/Buca Eğitim Fakültesi dergisi(63)
Trabzon University
Openalex Percentile: Top 92%
Assistive Technology in Communication and Mobility
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.