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ERIC Number: EJ1414211
Record Type: Journal
Publication Date: 2024
Pages: 10
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-8756-3894
EISSN: EISSN-1559-7075
Available Date: N/A
Predicting Special Educators' Use of Assistive Technology in Virtual & Hybrid Learning Environments
Jessica Herring Watson; Ayanna Perkins; Amanda J. Rockinson-Szapkiw
TechTrends: Linking Research and Practice to Improve Learning, v68 n2 p370-379 2024
This predictive correlational study investigated to what extent, if at all, the constructs of the Unified Theory of Acceptance and Use of Technology (UTAUT) predicted special educators' use of assistive technology (AT) in virtual and hybrid settings during the COVID-19 pandemic. A survey was distributed to educators (n = 104) across the United States, and a multiple regression was used to determine whether, if at all, the constructs of the UTAUT significantly predicted their use of AT to support online and hybrid learning. The results cohere with and extend previous research regarding teachers' acceptance and use of technology and demonstrated that special educators' positive perceptions of social influence and students' effort expectancy were predictive of their use of AT in online and hybrid settings.
Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link-springer-com.bibliotheek.ehb.be/
Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A
Author Affiliations: N/A