Factors predicting current and future use of video-modelling in teaching students with autism spectrum disorder (ASD): a Saudi Arabian perspective.

Disabil Rehabil Assist Technol

Department of Special Education, College of Education, King Saud University, Riyadh, Saudi Arabia.

Published: May 2024

Purpose: Despite the effectiveness of using video-modelling to teach skills for students with autism spectrum disorder (ASD), few studies have addressed video-modelling being adopted in the classrooms. This study measured special educators' current use of video-modelling in teaching students with ASD in Saudi Arabia. It also investigated the factors predicting current and future use of video-modelling based on Diffusion of Innovation Theory.

Materials And Methods: A descriptive research design was used. A total of 271 special educators responded to a survey. A stepwise multiple regression and a logistic regression analysis were used to determine factors predicting current and future use of video-modelling.

Results: Results showed that special educators used video-modelling in teaching students with ASD at a low level ( = 2.59). Stepwise multiple regression analysis revealed that the combination of perceived relative advantage, perceived complexity, perceived trialability, and perceived observability predicted current use of video-modelling, whereas the logistic regression analysis revealed that perceived relative advantage and perceived trialability were only predictors of future use of video-modelling.

Conclusions: Results show that video-modelling is still used as an assistive technology slightly in teaching students with ASD, suggesting that educators may find it challenging to use video-modelling in classrooms. Results indicate that using video-modelling in teaching students with ASD can be influenced by a variety of factors related to the Diffusion of Innovation Theory. This is evidence that educational and rehabilitation stakeholders need to cooperate in addressing these factors to close the research-practice gap, and improve the adoption of video-modelling in classrooms.

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Source
http://dx.doi.org/10.1080/17483107.2023.2172223DOI Listing

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