Integrating artificial intelligence in supporting students with disabilities in higher education: An integrative review.
Artificial intelligence has the potential to significantly enhance accessibility, inclusivity, and academic performance for students with disabilities. This review investigates how AI-driven assistive technologies can support students with disabilities in higher education. Using an integrative revie...
| Publicado en: | Technology & Disability Vol. 38; no. 1; pp. 3 - 25 |
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| Autores principales: | , , , |
| Formato: | research systematic review tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
Feb2026
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=191011293&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 191011293 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10554181 3QS jtl: Technology & Disability issn: 10554181 maglogo: N pubinfo: dt: Feb2026 vid: 38 iid: 1 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 191011293 186370464 191011293 191011293 10.1177/10554181251355428 191011293 ppf: 3 ppct: 22 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Integrating artificial intelligence in supporting students with disabilities in higher education: An integrative review. aug: au: Dumitru, Cristina Muttashar Abdulsahib, Ghaida Ibrahim Khalaf, Osamah Bennour, Akram affil: Department of Education, Piteşti University Centre, National University of Science and Technology POLITEHNICA Bucharest, Pitesti, Romania sug: subj: Artificial Intelligence Education, Masters Assistive Technology Students with Disabilities Psychosocial Factors Academic Performance Evaluation Learning Methods Human Systematic Review PubMed Thematic Analysis Educational Technology Adaptation, Psychological Ethics Checklists ab: Artificial intelligence has the potential to significantly enhance accessibility, inclusivity, and academic performance for students with disabilities. This review investigates how AI-driven assistive technologies can support students with disabilities in higher education. Using an integrative review methodology, this study synthesizes peer-reviewed research published between 2020 and 2024 to assess the impact of AI-powered assistive technologies on the academic performance, engagement, and accessibility of students with disabilities in higher education. Thematic synthesis was used to categorize and analyze the data from 27 papers, identifying five major themes: personalized learning, the benefits of AI-driven assistive technology, adoption challenges, institutional barriers, and best practices for AI implementation. The analysis identifies gaps in the current research, including the insufficient evaluation of underrepresented disabilities and the ethical considerations regarding AI usage. pubtype: Academic Journal doctype: research systematic review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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