نوع مقاله: مقاله پژوهشی
نویسندگان
1 کارشناس ارشد/ دانشگاه صنعتی امیرکبیر
2 استاد دانشگاه علم و صنعت ایران
3 استاد دانشگاه امیرکبیر
چکیده
چکیده تصویری
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کلیدواژهها
عنوان مقاله [English]
نویسندگان [English]
The ability to read is one of the abilities effective in quality of life. From among the children with normal intelligence and more, dyslexic students have a significant lack of readability due to their age and their ability to intelligence. In any planning and designing a treatment plan for these people, diagnosis is a necessary first step. Early and timely recognition of this disorder is essential to prevent the negative consequences of impairment. The tool that is used for data gathering is an intelligent computer game that designed and developed during this study. In this study, we looked for a method for predicting dyslexia that is not read-based, so that treatment with dyslexia can be initiated before they begin to teach. The purpose of this study was to develop an intelligent diagnostic system in the form of a computer game based on artificial intelligent and supervised machine learning to predict dyslexia based on the cognitive differences of dyslexic children with other children. Games can provide a less stressful or a stress-free way for the children so that the child do not even realize that it is being measured. The intelligent diagnostic system was trained with the help of thirty students. The results of the study on performance of this intelligent system showed that the provided computer game has the ability to predict dyslexia with a probability higher than 97%.
کلیدواژهها [English]
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