Using a Screening Risk of Dyslexia Game to Evaluate Students with Learning Disabilities Through the Use of Language-Independent Content and Machine Learning

In this paper, we propose a method for global dyslexia screening based on machine learning framework and data collected from a screening risk of dyslexia online game. This research aims to explore students with Learning Disabilities. We developed the game's content by analyzing the errors made by students with dyslexia in many languages, as other dyslexia-related criteria include audio and visual processing. Our approach involves gathered data to train predictive machine learning models. Using Random Visual game and Random audio game respectively, the findings achieve effective results. Screening for a dyslexia risk game. Our approach can be used to screen students with disorder and hence aiding a potential early intervention.