Improving Accessibility in Education with AI
At Xyonix, we design custom AI solutions that utilize machine learning to improve your disability diagnostic tests and assistive technologies.
AI has the potential to improve the accessibility of education for students with disabilities. Machine learning algorithms can screen students for learning disabilities and help nonverbal individuals communicate using assistive technologies.
Struggling to identify students with learning disabilities at scale?
The majority of students with disabilities in the United States have specific learning disabilities, speech or language impediments, Autism Spectrum Disorder or intellectual disabilities. However, many are not correctly diagnosed and therefore do not receive the support they need to succeed academically. Xyonix can help you identify which markers are most important to diagnosis of disabilities and can implement your system at scale.
Want to improve the user interface of your nonverbal communication devices?
For students with disabilities that impact their ability to communicate in the classroom, communication devices such as Augmentative and Alternative Communication devices are paramount to their ability to learn. However, the devices generally have a low adoption rate, which is due in part to a non-optimal interaction between devices and users. Xyonix can help you use machine learning to develop optimal nonverbal communication devices.
MORE ABOUT HOW AI IS IMPROVING ACCESSIBILITY OF EDUCATION HERE:
references:
https://www.edutopia.org/article/students-limited-verbal-capabilities-can-thrive-inclusive-classrooms
https://www.xyonix.com/blog/personalized-learning-accessibility-and-student-progress-6-ways-artificial-intelligence-is-reshaping-modern-education
https://www.mdpi.com/1424-8220/19/8/1911/htm
https://aclanthology.org/2021.nlp4posimpact-1.12.pdf