دورية أكاديمية
Active Machine Learning Framework for Teaching Object Recognition Skills to Children with Autism
| العنوان: | Active Machine Learning Framework for Teaching Object Recognition Skills to Children with Autism |
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| اللغة: | English |
| المؤلفون: | Radwan, Akram M., Birkan, Binyamin, Hania, Fadi, Cataltepe, Zehra |
| المصدر: | International Journal of Developmental Disabilities. 2017 63(3):158-169. |
| الإتاحة: | Routledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals |
| Peer Reviewed: | Y |
| Page Count: | 12 |
| تاريخ النشر: | 2017 |
| نوع الوثيقة: | Journal Articles Reports - Research |
| Descriptors: | Computer Uses in Education, Assistive Technology, Electronic Learning, Teaching Methods, Recognition (Psychology), Active Learning, Students with Disabilities, Special Schools, Foreign Countries, Outcomes of Education, Autism, Pervasive Developmental Disorders |
| مصطلحات جغرافية: | Gaza Strip, Palestine |
| DOI: | 10.1080/20473869.2016.1190543 |
| تدمد: | 2047-3869 |
| مستخلص: | Active machine learning (AML) techniques enable a machine learning model to perform better with less labeled training data. In this study, we proposed an AML approach for teaching object recognition skills to children with autism spectrum disorders (ASD) and compared its effects with passive learning (PL). A web and touch-based application was developed for teaching object recognition where objects were grouped according to their categories and difficulty levels. The teaching procedure was based on Applied Behavioral Analysis principles. Five children with mild to moderate levels of ASD participated in the study. An alternating treatments design of single-subject research methods was used. The results indicated that AML was more effective than PL for four out of the five participants. Consequently, they can learn faster with fewer teaching trials that are required to reach a learning criterion. |
| Abstractor: | As Provided |
| Entry Date: | 2017 |
| رقم الأكسشن: | EJ1225955 |
| قاعدة البيانات: | ERIC |
PDF full text from Publisher | تدمد: | 2047-3869 |
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| DOI: | 10.1080/20473869.2016.1190543 |