An Artificial-Intelligence (AI) program is helping track learning disabilities in children. A new machine learning program with AI will soon help students read and write who are not as gifted as the rest. The ones with disabilities such as attention deficit hyperactivity disorder (ADHD), autism or dyslexia will soon be able to match the rest of the normal kids.

Some of the expert researchers, from the University of Cambridge, fed a computer algorithm with cognitive testing data, including measures of listening skills, spatial reasoning, problem-solving, vocabulary, and memory.

The New Steps are taken to provide the complete Education for all

Based on the data fed, the algorithm by the AI suggested that the children best fit into four clusters of difficulties. Difficulties were with working memory skills and difficulties with processing sounds in words. The others were the kids who is suffering with broad cognitive difficulties in many areas and children with typical cognitive test results for their age.

The University of Cambridge is into this and would fulfill every child’s dream to obtain Education Based on the data fed, the algorithm by the AI suggested that the children best fit into four clusters of difficulties. Difficulties were with working memory skills and difficulties with processing sounds in words.

The others were children who is suffering high with broad cognitive difficulties in many areas and children with typical cognitive test results for their age.

The wish to provide an equal opportunity for Every Child

Difficulties with short-term memory span which is working memory and interpretation of information have been linked with struggling in math and with tasks such as following lists. Problems which relate to phonological skills, which is processing the sounds in words, has been linked to struggling with reading.

“Our research and study is the first which works on machine learning to a broad spectrum of hundreds of struggling learners,” Astle added.

The study, which has also published in the journal ‘Developmental Science,’ recruited 550 children who were struggling at the later stage of school. Much of the previous research on learning difficulties has most of the time focused on children who had already been given a particular diagnosis, which also includes as ADHD, autism or dyslexia.

Comparing the knowledge among all of the Children

By including children with all difficulties with respect of diagnosis, this study helped better capture the range of difficulties within, and overlap between, the diagnostic categories. “These are interesting, and an early-stage finding which begin to investigate how we can apply new latest innovative technologies, which includes the IoT and machine learning, to better understand brain function,” the researchers noted