Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-30093
Publication type: Article in scientific journal
Type of review: Peer review (publication)
Title: Could the use of AI in higher education hinder students with disabilities? : a scoping review
Authors: Pierrès, Oriane
Christen, Markus
Schmitt-Koopmann, Felix M.
Darvishy, Alireza
et. al: No
DOI: 10.1109/ACCESS.2024.3365368
10.21256/zhaw-30093
Published in: IEEE Access
Volume(Issue): 12
Page(s): 27810
Pages to: 27828
Issue Date: 2024
Publisher / Ed. Institution: IEEE
ISSN: 2169-3536
Language: English
Subjects: Artificial intelligence; Disability; Higher education; Educational technologies (EdTech); Ethics; Risk assessment
Subject (DDC): 006: Special computer methods
378: Higher education
Abstract: Literature reviews on artificial intelligence (AI) have focused on the different applications of AI in higher education, the AI techniques used, and the benefits/risks of the use of AI. One of the greatest potentials of AI is to personalize higher education to the needs of students and offer timely feedback. This could benefit students with disabilities tremendously if their needs are also considered in the development of new AI educational technologies (EdTech). However, current reviews have failed to address the perspective of students with disabilities, which prompts ethical concerns. For instance, AI could treat people with disabilities as outliers in the data and end up discriminating against them. For that reason, this systematic literature review raises the following two questions: To what extent are ethical concerns considered in articles presenting AI applications assessing students (with disabilities) in higher education? What are the potential risks of using AI that assess students with disabilities in higher education? This scoping review highlights the lack of ethical reflection on AI technologies and an absence of discussion and inclusion of people with disabilities. Moreover, it identifies eight risks associated with the use of AI EdTech for students with disabilities. The review concludes with suggestions on how to mitigate these potential risks. Specifically, it advocates for increased attention to ethics within the field, the involvement of people with disabilities in research and development, as well as careful adoption of AI EdTech in higher education.
URI: https://digitalcollection.zhaw.ch/handle/11475/30093
Fulltext version: Published version
License (according to publishing contract): CC BY 4.0: Attribution 4.0 International
Departement: School of Engineering
Organisational Unit: Institute of Computer Science (InIT)
Appears in collections:Publikationen School of Engineering

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Pierrès, O., Christen, M., Schmitt-Koopmann, F. M., & Darvishy, A. (2024). Could the use of AI in higher education hinder students with disabilities? : a scoping review. IEEE Access, 12, 27810–27828. https://doi.org/10.1109/ACCESS.2024.3365368
Pierrès, O. et al. (2024) ‘Could the use of AI in higher education hinder students with disabilities? : a scoping review’, IEEE Access, 12, pp. 27810–27828. Available at: https://doi.org/10.1109/ACCESS.2024.3365368.
O. Pierrès, M. Christen, F. M. Schmitt-Koopmann, and A. Darvishy, “Could the use of AI in higher education hinder students with disabilities? : a scoping review,” IEEE Access, vol. 12, pp. 27810–27828, 2024, doi: 10.1109/ACCESS.2024.3365368.
PIERRÈS, Oriane, Markus CHRISTEN, Felix M. SCHMITT-KOOPMANN und Alireza DARVISHY, 2024. Could the use of AI in higher education hinder students with disabilities? : a scoping review. IEEE Access. 2024. Bd. 12, S. 27810–27828. DOI 10.1109/ACCESS.2024.3365368
Pierrès, Oriane, Markus Christen, Felix M. Schmitt-Koopmann, and Alireza Darvishy. 2024. “Could the Use of AI in Higher Education Hinder Students with Disabilities? : A Scoping Review.” IEEE Access 12: 27810–28. https://doi.org/10.1109/ACCESS.2024.3365368.
Pierrès, Oriane, et al. “Could the Use of AI in Higher Education Hinder Students with Disabilities? : A Scoping Review.” IEEE Access, vol. 12, 2024, pp. 27810–28, https://doi.org/10.1109/ACCESS.2024.3365368.


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