  A good teaching method is incomprehensible for an autistic child. The autism
spectrum disorder is a very diverse phenomenon. It is said that no two autistic
children are the same. So, something that works for one child may not be fit
for another. The same case is true for their education. Different children need
to be approached with different teaching methods. But it is quite hard to
identify the appropriate teaching method. As the term itself explains, the
autism spectrum disorder is like a spectrum. There are multiple factors to
determine the type of autism of a child. A child might even be diagnosed with
autism at the age of 9. Such a varied group of children of different ages, but
specialized educational institutions still tend to them more or less the same
way. This is where machine learning techniques can be applied to find a better
way to identify a suitable teaching method for each of them. By analyzing their
physical, verbal and behavioral performance, the proper teaching method can be
suggested much more precisely compared to a diagnosis result. As a result, more
children with autistic spectrum disorder can get better education that suits
their needs the best.
