dc.contributor.author | Fichten, Catherine | en |
dc.contributor.author | Jorgensen, Mary | en |
dc.contributor.author | Havel, Alice | en |
dc.contributor.author | Vo, Christine | en |
dc.contributor.author | Libman, Eva | en |
dc.date.accessioned | 2022-06-20T21:01:32Z | |
dc.date.available | 2022-06-20T21:01:32Z | |
dc.date.issued | 2022 | en |
dc.identifier.citation | Journal on Technology and Persons with Disabilities 10: 97-114. | en |
dc.identifier.issn | 2330-4219 | en |
dc.identifier.uri | http://hdl.handle.net/10211.3/223468 | |
dc.description | 37th Annual Assistive Technology Conference Scientific/Research Proceedings, online 2022 | en |
dc.description.abstract | We present eight studies dealing with artificial intelligence and mobile apps that assist post-secondary students with attention deficit hyperactivity disorder (ADHD) and other disabilities with their academic work. Study 1, based on an advisory board and on a Google search, provided glowing testimonials about AI tools. However, Study 2, a scoping review of the scientific literature, showed that research is scant. In Study 3 we explored how students with and without disabilities used AI-based intelligent virtual assistants to do schoolwork. Our findings show that students are not realizing the potential of these tools. In Study 4, we explored AI-based technologies used by 163 students with and 74 students without disabilities and in Study 5 we investigated AI-based technologies professors required students to use. These studies helped identify sustainable practices. In studies 6, 7 and 8 we explored apps for students with ADHD. Overall, the results show that students with and without disabilities use similar technologies. There will always be a place for traditional assistive technologies such as Jaws and ZoomText. However, general use technologies play an important role because the most common disabilities reported by students on post-secondary campuses include nonvisible disabilities, such as ADHD, mental and chronic health challenges, and specific learning disorders. | en |
dc.format | application/pdf | en |
dc.format.extent | 17 pages | en |
dc.language.iso | en | en |
dc.publisher | California State University, Northridge. | en |
dc.rights | Copyright 2022 by the authors and California State University, Northridge | en |
dc.subject | AI | en |
dc.subject | artificial intelligence | en |
dc.subject | post-secondary students with disabilities | en |
dc.subject | college | en |
dc.subject | university | en |
dc.subject | ADHD | en |
dc.subject | Attention Deficit and Hyperactivity Disorder | en |
dc.subject | mobile apps | en |
dc.title | AI-Based and Mobile Apps: Eight Studies Based on Post-Secondary Students' Experiences | en |
dc.type | Article | en |
dc.rights.license | Creative Commons Attribution-NoDerivs 4.0 Unported License. | en |