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GUIDED E LEARNING SYSTEM AND DETECTION FOR EARLY LEARNERS WITH AUTISM SPECTRUM DISORDER(ASD)


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Category
Articles
Authors
Shantanu Shah & Shubhada Labde
Publisher
Jicr
Publishing Date
01-Nov-2020
volume
XII
Issue
XI
Pages
875-879

Autism spectrum disorder (ASD) is a neurological and developmental disorder that start early in childhood and go on throughout a person’s life. We need to provide education to young children those who have developed ASD in early childhood stages. These children do not respond naturally, they are always isolated so we need to make them utilize the ELearning application and make them inclusive in the classroom, help them to develop interest and to interact with everyone in social. So, we are building an educational application incorporating intra and interpersonal development skills. Through this we can keep track on their ability and address their uneven progress in specific areas. The proposal of E- Learning application will be beneficial for the parents and teachers to understand the changes in the behaviour of an ASD child .Along with this we will be implementing Machine Learning algorithms(Classification) such as Random Forest- CART3 to make the E Learning application more simple and then we will be visualizing the data together on tableau and make analysis whether which child suffering from ASD has better grasping power and sustainability to think. It is also evolving such that the complexity will increase as the ASD learners understanding thought process progresses. This E- Learning application will play a drastic role in changing daily habitual life of an ASD child.

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