Academic grades in assessments are predicted to determine if a student is at risk of failing a course. Sequential models or graph neural networks that have been employed for grade prediction do not consider relationships between course descriptions. We propose the use of text mining to extract semantic, syntactic, and frequency-based features from…

Purpose: Reading comprehension is consistently poor in many school-age children with autism spectrum disorder (ASD). The purpose of this tutorial is to provide an overview from a multicomponent view on the many predictors that may contribute to reading comprehension difficulties in ASD. Method: This tutorial reviews current literature on profiles…