Learning disorders are neurological conditions that affect the brain's
ability to interconnect communication areas. Dyslexic students experience
problems with reading, memorizing, and exposing concepts; however the magnitude
of these can be mitigated through both therapies and the creation of
compensatory mechanisms. Several efforts have been made to mitigate these
issues, leading to the creation of digital resources for students with specific
learning disorders attending primary and secondary education levels.
Conversely, a standard approach is still missed in higher education. The
VRAIlexia project has been created to tackle this issue by proposing two
different tools: a mobile application integrating virtual reality (VR) to
collect data quickly and easily, and an artificial intelligencebased software
(AI) to analyze the collected data for customizing the supporting methodology
for each student. The first one has been created and is being distributed among
dyslexic students in Higher Education Institutions, for the conduction of
specific psychological and psychometric tests. The second tool applies specific
artificial intelligence algorithms to the data gathered via the application and
other surveys. These AI techniques have allowed us to identify the most
relevant difficulties faced by the students' cohort. Our different models have
obtained around 90\% mean accuracy for predicting the support tools and
learning strategies.

通过整合虚拟现实和人工智能，VRAIlexia 项目创建了一个移动应用程序和软件工具来为高等教育机构的阅读障碍学生收集数据，并根据收集的数据自定义支持方法，以提高预测教学工具和学习策略的准确度。