UTA investigators use advanced computational approach to assess learning difficulties in children

University of Texas at Arlington researchers are using an advanced computational approach or artificial intelligence to help experts assess learning difficulties in children very early in their lives. Professor Fillia Makedon and Associate Professor Vassilis Athitsos, both in the College of Engineering’s Department of Computer Science and Engineering, received $1.27 million of a total $2.7 million National Science Foundation grant for the project. Yale University will receive the remainder of the grant. This large, highly competitive NSF grant is awarded because of its huge potential impact in understanding and learning how to enhance the cognitive abilities of children. Untreated cognitive disorders in children are a widely recognized challenging problem. Center for Disease Control statistics show that about 11 percent of American children ages 4 to 17 have Attention-Deficit/Hyperactivity Disorder. That…


Link to Full Article: UTA investigators use advanced computational approach to assess learning difficulties in children