Application of machine learning in identification of best teaching method for children with autism spectrum disorder
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.
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| Langue: | English |
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Brac University
2022
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| Accès en ligne: | http://hdl.handle.net/10361/17355 |
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10361-173552022-09-27T21:02:19Z Application of machine learning in identification of best teaching method for children with autism spectrum disorder Zoana, Zarin Tassnim Akter, Nasrin Shafeen, Mahmudul Wahed Rahman, Tanvir Department of Computer Science and Engineering, Brac University Autism spectrum disorder Teaching methods Special educational needs Autistic children Machine learning Autism in children This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022. Cataloged from PDF version of thesis. Includes bibliographical references (pages 31-34). A good teaching method is incomprehensible for an autistic child. The autism spectrum disorder is a very diverse phenomenon. It is said that no two autistic children are the same. So, something that works for one child may not be fit for another. The same case is true for their education. Different children need to be approached with different teaching methods. But it is quite hard to identify the appropriate teaching method. As the term itself explains, the autistic spectrum disorder is like a spectrum. There are multiple factors to determine the type of autism of a child. A child might even be diagnosed with autism at the age of 9. Such a varied group of children of different ages, but specialized educational institutions still tend to them more or less the same way. This is where machine learning techniques can be applied to find a better way to identify a suitable teaching method for each of them. This paper first summarizes the research on previous researches on special educational needs of autistic children with a focus on the different behaviors that are involved in communicating with their teachers, peers and understanding capabilities that are most generally absent in children on the spectrum. The paper ends with a conclusion that uses Machine Learning algorithm in comparing different autistic traits with some suitable teaching methods, by analyzing their physical, verbal and behavioral performance. In this way, the proper teaching method can be suggested much more precisely compared to a diagnosis result. As a result, more children with autistic spectrum disorder can get better education that suits their needs the best. Zarin Tassnim Zoana Nasrin Akter Mahmudul Wahed Shafeen B. Computer Science and Engineering 2022-09-27T07:42:35Z 2022-09-27T07:42:35Z 2022 2022-05 Thesis ID 18101677 ID 18101660 ID 18101549 http://hdl.handle.net/10361/17355 en Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 34 pages application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Autism spectrum disorder Teaching methods Special educational needs Autistic children Machine learning Autism in children |
| spellingShingle |
Autism spectrum disorder Teaching methods Special educational needs Autistic children Machine learning Autism in children Zoana, Zarin Tassnim Akter, Nasrin Shafeen, Mahmudul Wahed Application of machine learning in identification of best teaching method for children with autism spectrum disorder |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022. |
| author2 |
Rahman, Tanvir |
| author_facet |
Rahman, Tanvir Zoana, Zarin Tassnim Akter, Nasrin Shafeen, Mahmudul Wahed |
| format |
Thesis |
| author |
Zoana, Zarin Tassnim Akter, Nasrin Shafeen, Mahmudul Wahed |
| author_sort |
Zoana, Zarin Tassnim |
| title |
Application of machine learning in identification of best teaching method for children with autism spectrum disorder |
| title_short |
Application of machine learning in identification of best teaching method for children with autism spectrum disorder |
| title_full |
Application of machine learning in identification of best teaching method for children with autism spectrum disorder |
| title_fullStr |
Application of machine learning in identification of best teaching method for children with autism spectrum disorder |
| title_full_unstemmed |
Application of machine learning in identification of best teaching method for children with autism spectrum disorder |
| title_sort |
application of machine learning in identification of best teaching method for children with autism spectrum disorder |
| publisher |
Brac University |
| publishDate |
2022 |
| url |
http://hdl.handle.net/10361/17355 |
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