| dc.contributor.author | Syed Hassan Tanvir, 01-244131-031 | |
| dc.date.accessioned | 2017-07-20T07:27:59Z | |
| dc.date.available | 2017-07-20T07:27:59Z | |
| dc.date.issued | 2014 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/2862 | |
| dc.description | Supervised by Dr. Tamim Ahmed | en_US |
| dc.description.abstract | Dyslexia is a learning disability in both reading and writing and dyslexic students need help and extra effort to learn. Technological advancements have made it possible to do screening of dyslexia patients. However, it is important to identify dyslexic students as early as possible since students suffering from dyslexia can compete with their cohorts provided they are detected early and given guidance in a professional manner. Another issue with dyslexia screening is requirement of an expert and a somewhat extraordinary arrangements to conduct the process. In our course of research we have proposed checklist which will help individuals or parents to identify weather their children are dyslexic or not. We have also proposed an automated system which will identify dyslexic children at early schooling and will work as early screening out of dyslexic. We select kindergarten level students and analyze their class-work for identification of dyslexia. This way, we do not require any special arrangements for screening out dyslexic students and automate the screening test such that it becomes part of the day-to-day routine of schools imparting early education. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Software Engineering, Bahria University Engineering School Islamabad | en_US |
| dc.relation.ispartofseries | MS SE;T-0684 | |
| dc.subject | Software Engineering | en_US |
| dc.title | Identification of Dyslexic children at early schooling (T-0684) (MFN 4235) | en_US |
| dc.type | MS Thesis | en_US |