A Preliminary Review of Generative AI as a Decision-Support System for Students with Motor Disabilities in Higher Education
Abstract
This article presents preliminary findings from an exploratory review analyzing how generative artificial intelligence (generative AI) has been addressed in recent higher education research, particularly in accessibility and inclusion contexts. The study focuses on students with motor disabilities and on the role of generative AI in decision-support systems. Methodologically, an initial literature screening was conducted in the Scopus and Web of Science databases. Publications from 2023 to 2025 were considered, and defined inclusion criteria were applied. The selected studies were analyzed descriptively to identify patterns and trends. The results highlight recurring themes such as interactivity, adaptability, multimodality, and ease of use. However, gaps were identified in studies that specifically address motor disabilities, particularly regarding motor load reduction, accessible interaction, and the role of generative AI in decision-support systems. These findings help define the scope of the field of study and guide the development of an ongoing systematic review, as well as the construction of conceptual frameworks for the integration of generative AI into inclusive higher education settings.
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Cites
The PRISMA 2020 statement: An updated guideline for reporting systematic reviews
Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., et al. (2021) · BMJ · doi:10.1136/bmj.n71 · Cited by 108,283 · see citing works
The use of generative AI by students with disabilities in higher education
Zhao, X., Cox, A., & Chen, X. (2025) · The Internet and Higher Education · doi:10.1016/j.iheduc.2025.101014 · Cited by 68 · cited 1× · see citing works
“Of the identified studies, only one article directly analyzes the use of generative AI by students with motor impairments [5], making it one of the few emerging studies focused on motor disability and highlighting the scarcity of research on this type of disability compared to other categories.”
López-Gazpio, I. (2025) · Information · doi:10.3390/info16060473 · Cited by 38 · see citing works
Generative AI for Enhancing Accessibility and Inclusion in Higher Education: A Systematic Review
Jaime-Vargas, J. A. (2025) · HighTech and Innovation Journal · doi:10.28991/hij-2025-06-02-022 · Cited by 17 · see citing works
Self-citationAruleba, K., Sanusi, I. T., Obaido, G., Ogbuokiri, B., & Mienye, I. D. (2025) · Technology Knowledge and Learning · doi:10.1007/s10758-025-09899-7 · Cited by 13 · see citing works
Managing generative artificial intelligence in the daily lives of people with disabilities
Bagnato, G., Moreno, F. R., Giachino, C., & Ali, A. A. (2025) · Management Decision · doi:10.1108/md-10-2024-2471 · Cited by 7 · see citing works
Wells, M. B. (2025) · PLoS ONE · doi:10.1371/journal.pone.0322728 · Cited by 3 · see citing works
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Research works printed but not linked: 1
- 2001, International Classification of Functioning, Disability and Health (ICF)
- Authors
- Jaime-Vargas, J. A.
- Affiliations
- Universidad Autónoma de Guadalajara (MX)
- Corresponding author
- Jaime-Vargas, José Alejandro
- Venue
- 2026 12th International Conference on Control, Decision and Information Technologies (CoDIT)
- Publisher
- IEEE
- Published
- 2026-07
- Pages
- 211-214
- OpenAlex
- W7201831562
- Semantic Scholar
- c3552420dbf726b1d35ed992ad75f1b5bcbace7c
- Cited by
- 0
- References
- 7
- FWCI
- 0.00
- Type
- conference paper
- Open access
- closed
- Licence
- Locations
- International Conference on Control, Decision and Information Technologies (CoDIT) (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Social Sciences › Safety Research › Disability Education and Employment
- Health Sciences › Health Professions › Occupational Therapy › Assistive Technology in Communication and Mobility
- Keywords
- generative AI, decision support system, students with motor disabilities, higher education, accessibility, assistive technology
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