Technology-Supported Models for Individuals with Autism Spectrum Disorder.
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| Title: | Technology-Supported Models for Individuals with Autism Spectrum Disorder. |
|---|---|
| Authors: | Gokaydin, Beria1 beria.gokaydin@neu.edu.tr, Filippova, Anna V.2, Sudakova, Natalia E.3, Sadovaya, Victoriya V.4, Kochova, Irina V.5, Babieva, Nigina S.6 |
| Source: | International Journal of Emerging Technologies in Learning. 2020, Vol. 15 Issue 23, p74-84. 11p. |
| Subject Terms: | *Autism spectrum disorders, *Educational technology, *Autism, *Content analysis, Keyword searching |
| Geographic Terms: | United Kingdom |
| Abstract: | Autism can be defined as a common developmental disorder that manifests itself as a disconnection in social communication. In individuals with autism, sometimes speech does not develop at all, and even if it develops, the individual does not prefer to communicate by talking. Thus, other ways are needed to communicate with individuals with autism. Today, the most important of these ways is technology, especially educational technology. The use of technology for individuals with Autism spectrum disorder (ASD) is on the rise today. The purpose of this study was to present up-to-date information on research using technology-based intervention methods in teaching skills in different developmental areas to individuals from different age groups with ASD and to reveal whether this intervention method is effective. This study was carried out using qualitative research methodology, document analysis and related content analysis. Scopus is based on the analysis of published documents searched with the keywords 'autism and technology-based' in the database. All articles published in Scopus were examined. The distribution of affiliated universities by years, subject areas, document types, country/regions and author themes were examined. Various findings emerged in terms of determining the importance of the analysis of technology-supported applications in terms of content of individuals published in the Scopus database on individuals with ASD. A total of 95 studies were examined. It was concluded that most of the studies were conducted in 2016 and 2019. It revealed that the first study was conducted in 2008. It was mostly published as a conference announcement. The United States and United Kingdom are among the countries with the most research. The research topics were written mostly in English, and two were published in French. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Emerging Technologies in Learning is the property of International Association of Online Engineering (IAOE) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Education Research Complete |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: ehh DbLabel: Education Research Complete An: 147569295 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Technology-Supported Models for Individuals with Autism Spectrum Disorder. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Gokaydin%2C+Beria%22">Gokaydin, Beria</searchLink><relatesTo>1</relatesTo><i> beria.gokaydin@neu.edu.tr</i><br /><searchLink fieldCode="AR" term="%22Filippova%2C+Anna+V%2E%22">Filippova, Anna V.</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Sudakova%2C+Natalia+E%2E%22">Sudakova, Natalia E.</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Sadovaya%2C+Victoriya+V%2E%22">Sadovaya, Victoriya V.</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AR" term="%22Kochova%2C+Irina+V%2E%22">Kochova, Irina V.</searchLink><relatesTo>5</relatesTo><br /><searchLink fieldCode="AR" term="%22Babieva%2C+Nigina+S%2E%22">Babieva, Nigina S.</searchLink><relatesTo>6</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Emerging+Technologies+in+Learning%22">International Journal of Emerging Technologies in Learning</searchLink>. 2020, Vol. 15 Issue 23, p74-84. 11p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Autism+spectrum+disorders%22">Autism spectrum disorders</searchLink><br />*<searchLink fieldCode="DE" term="%22Educational+technology%22">Educational technology</searchLink><br />*<searchLink fieldCode="DE" term="%22Autism%22">Autism</searchLink><br />*<searchLink fieldCode="DE" term="%22Content+analysis%22">Content analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Keyword+searching%22">Keyword searching</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22United+Kingdom%22">United Kingdom</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Autism can be defined as a common developmental disorder that manifests itself as a disconnection in social communication. In individuals with autism, sometimes speech does not develop at all, and even if it develops, the individual does not prefer to communicate by talking. Thus, other ways are needed to communicate with individuals with autism. Today, the most important of these ways is technology, especially educational technology. The use of technology for individuals with Autism spectrum disorder (ASD) is on the rise today. The purpose of this study was to present up-to-date information on research using technology-based intervention methods in teaching skills in different developmental areas to individuals from different age groups with ASD and to reveal whether this intervention method is effective. This study was carried out using qualitative research methodology, document analysis and related content analysis. Scopus is based on the analysis of published documents searched with the keywords 'autism and technology-based' in the database. All articles published in Scopus were examined. The distribution of affiliated universities by years, subject areas, document types, country/regions and author themes were examined. Various findings emerged in terms of determining the importance of the analysis of technology-supported applications in terms of content of individuals published in the Scopus database on individuals with ASD. A total of 95 studies were examined. It was concluded that most of the studies were conducted in 2016 and 2019. It revealed that the first study was conducted in 2008. It was mostly published as a conference announcement. The United States and United Kingdom are among the countries with the most research. The research topics were written mostly in English, and two were published in French. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Emerging Technologies in Learning is the property of International Association of Online Engineering (IAOE) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3991/ijet.v15i23.18791 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 74 Subjects: – SubjectFull: Autism spectrum disorders Type: general – SubjectFull: Educational technology Type: general – SubjectFull: Autism Type: general – SubjectFull: Content analysis Type: general – SubjectFull: Keyword searching Type: general – SubjectFull: United Kingdom Type: general Titles: – TitleFull: Technology-Supported Models for Individuals with Autism Spectrum Disorder. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Gokaydin, Beria – PersonEntity: Name: NameFull: Filippova, Anna V. – PersonEntity: Name: NameFull: Sudakova, Natalia E. – PersonEntity: Name: NameFull: Sadovaya, Victoriya V. – PersonEntity: Name: NameFull: Kochova, Irina V. – PersonEntity: Name: NameFull: Babieva, Nigina S. IsPartOfRelationships: – BibEntity: Dates: – D: 17 M: 12 Text: 2020 Type: published Y: 2020 Identifiers: – Type: issn-print Value: 18630383 Numbering: – Type: volume Value: 15 – Type: issue Value: 23 Titles: – TitleFull: International Journal of Emerging Technologies in Learning Type: main |
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