Assistive technology adoption in special education: A logistic regression on teacher, classroom, and student factor in Taiwan

This study investigates factors influencing assistive technology (AT) adoption in special education using logistic regression analysis of data from 702 special education teachers in Taiwan. The analysis focused on teacher experience, classroom type, and student disability categories as predictors of AT use. Findings show that mobility aids had the highest utilization rate (91.5%), followed by communication (69.8%) and positioning aids (58.0%). Teachers with over 10 years of experience (OR = 1.486) and those in self-contained classrooms (OR = 1.472) are more likely to adopt AT. Student disabilities also strongly influence AT use, with mobility aids linked to physical disabilities (OR = 1.355) and communication devices more common for intellectual and emotional disabilities (OR = 1.400). Teachers' willingness to adopt AT depended on ease of use and paraprofessional support, and a strong positive correlation was found between AT adoption and teaching effectiveness. These results highlight the importance of targeted professional development and equitable resource allocation to support AT integration and improve educational outcomes for students with disabilities.

Authors

Institutions

Publication Details

Journal
Assistive Technology
Published
2026-01-20
DOI
https://doi.org/10.1080/10400435.2025.2601714
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

Assistive technology adoption in special education: A logistic regression on teacher, classroom, and student factor in Taiwan

Yu-Chun Yu, Yan-ying Ju, Wei-Ting Shen, Hsin-Yi Kathy Cheng
Assistive Technology
Assistive Technology in Communication and Mobility
article

Assistive technology adoption in special education: A logistic regression on teacher, classroom, and student factor in Taiwan

Yu-Chun Yu, Yan-ying Ju, Wei-Ting Shen, Hsin-Yi Kathy Cheng
article en

Abstract

This study investigates factors influencing assistive technology (AT) adoption in special education using logistic regression analysis of data from 702 special education teachers in Taiwan. The analysis focused on teacher experience, classroom type, and student disability categories as predictors of AT use. Findings show that mobility aids had the highest utilization rate (91.5%), followed by communication (69.8%) and positioning aids (58.0%). Teachers with over 10 years of experience (OR = 1.486) and those in self-contained classrooms (OR = 1.472) are more likely to adopt AT. Student disabilities also strongly influence AT use, with mobility aids linked to physical disabilities (OR = 1.355) and communication devices more common for intellectual and emotional disabilities (OR = 1.400). Teachers' willingness to adopt AT depended on ease of use and paraprofessional support, and a strong positive correlation was found between AT adoption and teaching effectiveness. These results highlight the importance of targeted professional development and equitable resource allocation to support AT integration and improve educational outcomes for students with disabilities.

Assistive Technology
Memorial Hospital of South Bend (US), Chang Gung University (TW), Chang Gung Memorial Hospital (TW), Taoyuan Chang Gung Memorial Hospital (TW), National Taiwan Sport University (TW)
Quality Education
Openalex Percentile: Top 84%
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.

Assistive technology adoption in special education: A logistic regression on teacher, classroom, and student factor in Taiwan — Yu-Chun Yu, Yan-ying Ju, et al. · Assistive Technology (2026) | TGRS Research Map | TGRS