Mainstream preschool teachers’ skills at identifying and referring children with autism spectrum disorder (ASD)

Background: Early intervention will help children with autism spectrum disorder (ASD) to attain early learning reinforcement. This study focuses on exploring the ability of preschool teachers to identify children with ASD and their referral decision-making process. Method: This is a mixed-method stu...

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Opis bibliograficzny
Główni autorzy: Mohammed Taresh, Sahar, Ahmad, Nor Aniza, Roslan, Samsilah, Ma'rof, Aini Marina, Mohammed Zaid, Sumaia
Format: Artykuł
Język:English
Wydane: Multidisciplinary Digital Publishing Institute 2020
Dostęp online:http://psasir.upm.edu.my/id/eprint/86619/1/Mainstream%20preschool%20teachers%E2%80%99%20.pdf
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author Mohammed Taresh, Sahar
Ahmad, Nor Aniza
Roslan, Samsilah
Ma'rof, Aini Marina
Mohammed Zaid, Sumaia
author_facet Mohammed Taresh, Sahar
Ahmad, Nor Aniza
Roslan, Samsilah
Ma'rof, Aini Marina
Mohammed Zaid, Sumaia
author_sort Mohammed Taresh, Sahar
collection UPM
description Background: Early intervention will help children with autism spectrum disorder (ASD) to attain early learning reinforcement. This study focuses on exploring the ability of preschool teachers to identify children with ASD and their referral decision-making process. Method: This is a mixed-method study (qualitative and quantitative methods) involving 20 respondents. The qualitative study is based on an open question case study, while the quantitative study consists of questionnaire with demographic variables to identify the effect of the demographic variables on the preschool teachers’ ability to identify children with ASD. Sample: The sample was selected via convenience sampling among mainstream preschool teachers. The data was analyzed using SPSS software and thematic analysis. Results: The findings show that preschool teachers did not have skills at identifying children with ASD, and the majority of them labelled children with ASD as spoilt or hyperactive children. They also viewed children with ASD as having other disorders such as attention deficit hyperactivity disorder (ADHD) or communication disorders such as introversion. Moreover, preschool teachers expressed that the reason for the child’s behaviour could be due to the parents’ inability to properly educate their child. Additionally, the demographic variables of the preschool teachers, such as age, education level and teaching experience, were found not to affect their ASD identification skills. Conclusion: Preschool teachers need to improve their skills in identifying ASD among children via training.
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spelling upm.eprints-866192021-10-13T08:08:15Z http://psasir.upm.edu.my/id/eprint/86619/ Mainstream preschool teachers’ skills at identifying and referring children with autism spectrum disorder (ASD) Mohammed Taresh, Sahar Ahmad, Nor Aniza Roslan, Samsilah Ma'rof, Aini Marina Mohammed Zaid, Sumaia Background: Early intervention will help children with autism spectrum disorder (ASD) to attain early learning reinforcement. This study focuses on exploring the ability of preschool teachers to identify children with ASD and their referral decision-making process. Method: This is a mixed-method study (qualitative and quantitative methods) involving 20 respondents. The qualitative study is based on an open question case study, while the quantitative study consists of questionnaire with demographic variables to identify the effect of the demographic variables on the preschool teachers’ ability to identify children with ASD. Sample: The sample was selected via convenience sampling among mainstream preschool teachers. The data was analyzed using SPSS software and thematic analysis. Results: The findings show that preschool teachers did not have skills at identifying children with ASD, and the majority of them labelled children with ASD as spoilt or hyperactive children. They also viewed children with ASD as having other disorders such as attention deficit hyperactivity disorder (ADHD) or communication disorders such as introversion. Moreover, preschool teachers expressed that the reason for the child’s behaviour could be due to the parents’ inability to properly educate their child. Additionally, the demographic variables of the preschool teachers, such as age, education level and teaching experience, were found not to affect their ASD identification skills. Conclusion: Preschool teachers need to improve their skills in identifying ASD among children via training. Multidisciplinary Digital Publishing Institute 2020-06 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/86619/1/Mainstream%20preschool%20teachers%E2%80%99%20.pdf Mohammed Taresh, Sahar and Ahmad, Nor Aniza and Roslan, Samsilah and Ma'rof, Aini Marina and Mohammed Zaid, Sumaia (2020) Mainstream preschool teachers’ skills at identifying and referring children with autism spectrum disorder (ASD). International Journal of Environmental Research and Public Health, 17 (12). pp. 1-16. ISSN 1660-4601 https://www.mdpi.com/1660-4601/17/12/4284 10.3390/ijerph17124284
spellingShingle Mohammed Taresh, Sahar
Ahmad, Nor Aniza
Roslan, Samsilah
Ma'rof, Aini Marina
Mohammed Zaid, Sumaia
Mainstream preschool teachers’ skills at identifying and referring children with autism spectrum disorder (ASD)
title Mainstream preschool teachers’ skills at identifying and referring children with autism spectrum disorder (ASD)
title_full Mainstream preschool teachers’ skills at identifying and referring children with autism spectrum disorder (ASD)
title_fullStr Mainstream preschool teachers’ skills at identifying and referring children with autism spectrum disorder (ASD)
title_full_unstemmed Mainstream preschool teachers’ skills at identifying and referring children with autism spectrum disorder (ASD)
title_short Mainstream preschool teachers’ skills at identifying and referring children with autism spectrum disorder (ASD)
title_sort mainstream preschool teachers skills at identifying and referring children with autism spectrum disorder asd
url http://psasir.upm.edu.my/id/eprint/86619/1/Mainstream%20preschool%20teachers%E2%80%99%20.pdf
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