Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

What should I know? Analysing behaviour and feedback from student use of a virtual assistant to share information about disabilities

Bibliographic Data

ID21652975
AuthorsTim Coughlan (0000-0002-0891-5438, The Open University, corresponding author), Francisco Iniesto (0000-0003-3946-3056, Universidad Nacional de Educación a Distancia)
Year2025
Volume66
Pages101002
Publication date2025-06-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueThe Internet and Higher Education (JOURNAL)
Journal identifiersISSN: 1096-7516 • E-ISSN: 1873-5525
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.iheduc.2025.101002
OpenAlexW4407819728
LanguageEN
References cited20

Administrative burden is a recognised cause of inequities for disabled students. Experiences of sharing information about disabilities and arranging adjustments can be demoralising and present barriers to success. To explore how Artificial Intelligence technologies could improve this situation, a virtual assistant (VA) was iteratively developed and deployed to support the initial steps of the process through which students share information. Here we describe findings from an eight-month trial where this was made available for students to use as an alternative to completing a form when declaring disabilities. 544 students tried using the assistant during this period. We analyse 351 questions asked of the VA by students, and a feedback survey with 129 responses. Results indicate the types of support expected while interacting with a VA and provide feedback on aspects of the design, the relationship with wider processes and experience of use. Overall, most participants wanted to continue using a VA in these processes, with positive perceptions across disability categories. We identify 12 themes showing a broad range of questions asked of the assistant. Given recent advances in AI, we discuss the opportunities and challenges to build on this and develop further inclusive innovations. Future work should focus on enabling context-informed answers to questions, enabling students to learn and contribute through the conversation, managing expectations according to VA capabilities, enhancing and monitoring inclusivity and integrating the VA with wider processes. • Administrative processes create additional burden and poor experiences for disabled students. • A virtual assistant was co-designed and deployed in a trial as a way to shared information and learn about study. • Most wanted to use the assistant again and perceptions were positive across the categories of disabilities disclosed. • Students appreciated AI-powered features such as receiving personalised suggestions gathered from fellow students. • Advances in GenAI offer opportunities to address identified needs such as answering complex questions with multiple sources

Computer security · Human–computer interaction · Internet privacy · Multimedia · Need to know · AI in Service Interactions · Assistive Technology in Communication and Mobility · Computer Science · Digital Accessibility for Disabilities · Psychology

  • Integrating Quantitative and Qualitative Data in Mixed Methods Research—Challenges and Benefits

    Open Access•Sami Almalki•Journal of Education and Learning•2016

  • ChatGPT for good? On opportunities and challenges of large language models for education

    Open Access•Enkelejda Kasneci, Kathrin Sessler et al.•Learning and Individual Differences•2023

  • Taylor, the Disability Disclosure Virtual Assistant

    Open Access•Kate Lister, Tim Coughlan et al.•Education Sciences•2021

  • Shaping the Future of Education

    Open Access•Simone Grassini•Education Sciences•2023

  • Inclusion of disabled Higher Education students

    Anne Shaw•International Journal of…•2024

  • The human side of human-chatbot interaction

    Open Access•Amon Rapp, Lorenzo Curti et al.•International Journal of…•2021

  • Mapping the prevalence of mixed methods research in educational technology journals

    Open Access•Olha Ketsman, Alissa Droog et al.•Computers & Education•2025

  • State of the art and practice in AI in education

    Open Access•William Holmes, Ilkka Tuomi•European Journal of Education•2022

  • Reflecting on reflexive thematic analysis

    Braun, Virginia Braun et al.•Qualitative Research in Sport and…•2019

  • One size fits all? What counts as quality practice in (reflexive) thematic analysis

    Braun, Victoria Clarke•Qualitative Research in Psychology•2020

  • Inclusion interrupted

    Open Access•Georgia Van Toorn•Government Information Quarterly•2023

  • Toward a Sociology of Artificial Intelligence

    Open Access•Kelly Joyce, Laurel Smith-Doerr et al.•Socius Sociological Research for…•2021

Citation velocityhistorical
Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae