Authors :
Dhrumil Kapadia; Harsh Rathod; Shantanu Shah; Shubhada Labde
Volume/Issue :
Volume 6 - 2021, Issue 4 - April
Google Scholar :
http://bitly.ws/9nMw
Scribd :
https://bit.ly/3vw8tOr
Abstract :
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 E- Learning
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 ForestCART3 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.
Keywords :
E- Learning Application, Random ForestCART3, ASD, Machine Learning Algorithms.
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 E- Learning
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 ForestCART3 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.
Keywords :
E- Learning Application, Random ForestCART3, ASD, Machine Learning Algorithms.