Determining the Difficulties of Students With Dyslexia via Virtual Reality and Artificial Intelligence: An Exploratory Analysis
Project Overview
The VRAIlexia project harnesses the power of virtual reality (VR) and artificial intelligence (AI) to aid dyslexic students in higher education by addressing their unique learning challenges, such as difficulties with reading and memorization. By developing a VR mobile application that conducts psychometric assessments, the project gathers data to tailor support methodologies to individual student needs. An AI-driven software analyzes this data to recommend effective learning strategies and resources specifically suited to dyslexic learners. Early findings from the initiative demonstrate a high level of accuracy in predicting the most beneficial support tools, highlighting the potential of generative AI in personalizing educational experiences and improving learning outcomes for students with dyslexia. Through its innovative approach, VRAIlexia showcases how AI can bridge gaps in education and enhance accessibility for diverse learners.
Key Applications
VRAIlexia project - VR mobile application and AI software
Context: Higher Education Institutions for dyslexic students
Implementation: A mobile app integrates VR to collect data on dyslexic students while they perform psychological and psychometric tests, coupled with AI algorithms to analyze the data and customize support.
Outcomes: Achieved around 90% mean accuracy in predicting the support tools and learning strategies for dyslexic students.
Challenges: Full collection of data is needed to enhance model performance; variability in individual student needs complicates standardization.
Implementation Barriers
Data Collection
Lack of comprehensive data from dyslexic students to train AI models effectively.
Proposed Solutions: Increase outreach and collaboration with educational institutions to gather data from a larger sample of dyslexic students.
Implementation Challenges
Difficulty in integrating VR and AI technologies into existing curricula and gaining acceptance from educators.
Proposed Solutions: Provide training for educators on the benefits of these technologies and develop user-friendly interfaces.
Project Team
Enrique Yeguas-Bolívar
Researcher
José M. Alcalde-Llergo
Researcher
Pilar Aparicio-Martínez
Researcher
Juri Taborri
Researcher
Andrea Zingoni
Researcher
Sara Pinzi
Researcher
Contact Information
For information about the paper, please contact the authors.
Authors: Enrique Yeguas-Bolívar, José M. Alcalde-Llergo, Pilar Aparicio-Martínez, Juri Taborri, Andrea Zingoni, Sara Pinzi
Source Publication: View Original PaperLink opens in a new window
Project Contact: Dr. Jianhua Yang
LLM Model Version: gpt-4o-mini-2024-07-18
Analysis Provider: Openai