An artificial intelligence approach for selecting effective teacher communication strategies in autism education
Abstract Effective inclusive education is key in promoting the long-term outcomes of children with autism spectrum conditions (ASC). However, no concrete consensus exists to guide teacher-student interactions in the classroom. In this work, we explore the potential of artificial intelligence as an a...
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Nature Portfolio
2021
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oai:doaj.org-article:ce213ec90c0e460c9b77ad99900313e62021-12-02T19:04:36ZAn artificial intelligence approach for selecting effective teacher communication strategies in autism education10.1038/s41539-021-00102-x2056-7936https://doaj.org/article/ce213ec90c0e460c9b77ad99900313e62021-09-01T00:00:00Zhttps://doi.org/10.1038/s41539-021-00102-xhttps://doaj.org/toc/2056-7936Abstract Effective inclusive education is key in promoting the long-term outcomes of children with autism spectrum conditions (ASC). However, no concrete consensus exists to guide teacher-student interactions in the classroom. In this work, we explore the potential of artificial intelligence as an approach in autism education to assist teachers in effective practice in developing social and educational outcomes for children with ASC. We form a protocol to systematically capture such interactions, and conduct a statistical analysis to uncover basic patterns in the collected observations, including the longer-term effect of specific teacher communication strategies on student response. In addition, we deploy machine learning techniques to predict student response given the form of communication used by teachers under specific classroom conditions and in relation to specified student attributes. Our analysis, drawn on a sample of 5460 coded interactions between teachers and seven students, sheds light on the varying effectiveness of different communication strategies and demonstrates the potential of this approach in making a contribution to autism education.Vasileios LamposJoseph MintzXiao QuNature PortfolioarticleSpecial aspects of educationLC8-6691Neurosciences. Biological psychiatry. NeuropsychiatryRC321-571ENnpj Science of Learning, Vol 6, Iss 1, Pp 1-10 (2021) |
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DOAJ |
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EN |
| topic |
Special aspects of education LC8-6691 Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 |
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Special aspects of education LC8-6691 Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 Vasileios Lampos Joseph Mintz Xiao Qu An artificial intelligence approach for selecting effective teacher communication strategies in autism education |
| description |
Abstract Effective inclusive education is key in promoting the long-term outcomes of children with autism spectrum conditions (ASC). However, no concrete consensus exists to guide teacher-student interactions in the classroom. In this work, we explore the potential of artificial intelligence as an approach in autism education to assist teachers in effective practice in developing social and educational outcomes for children with ASC. We form a protocol to systematically capture such interactions, and conduct a statistical analysis to uncover basic patterns in the collected observations, including the longer-term effect of specific teacher communication strategies on student response. In addition, we deploy machine learning techniques to predict student response given the form of communication used by teachers under specific classroom conditions and in relation to specified student attributes. Our analysis, drawn on a sample of 5460 coded interactions between teachers and seven students, sheds light on the varying effectiveness of different communication strategies and demonstrates the potential of this approach in making a contribution to autism education. |
| format |
article |
| author |
Vasileios Lampos Joseph Mintz Xiao Qu |
| author_facet |
Vasileios Lampos Joseph Mintz Xiao Qu |
| author_sort |
Vasileios Lampos |
| title |
An artificial intelligence approach for selecting effective teacher communication strategies in autism education |
| title_short |
An artificial intelligence approach for selecting effective teacher communication strategies in autism education |
| title_full |
An artificial intelligence approach for selecting effective teacher communication strategies in autism education |
| title_fullStr |
An artificial intelligence approach for selecting effective teacher communication strategies in autism education |
| title_full_unstemmed |
An artificial intelligence approach for selecting effective teacher communication strategies in autism education |
| title_sort |
artificial intelligence approach for selecting effective teacher communication strategies in autism education |
| publisher |
Nature Portfolio |
| publishDate |
2021 |
| url |
https://doaj.org/article/ce213ec90c0e460c9b77ad99900313e6 |
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1718377237888106496 |