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March 21, 2026International Journal of Artificial Intelligence in Education0 citationsOpen Access

Assistive Generative AI for Visually Impaired Learners: Personalization and Inclusion in Higher Education

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ZKZuheir N. KhlaifRARasha AlshakhshirBHBilal Hamamra

Key Points

  • The study aims to investigate how generative AI can improve educational experiences for visually impaired learners in higher education.
  • Conducted qualitative case study with semi-structured interviews.
  • Engaged 21 undergraduate students with visual impairments in Palestine.
  • Performed thematic analysis to interpret participants' experiences.
  • Identified GenAI as a tool for personalized learning and inclusive access.
  • Revealed key attributes of GenAI: interactivity, affordability, and multimodality.
  • Highlighted the role of GenAI in promoting digital fairness and cultural inclusion.

Abstract

Equitable access to quality education remains a pressing challenge, particularly for learners with disabilities who are often excluded from mainstream opportunities. This study explores the potential of Generative Artificial Intelligence (GenAI) to advance inclusive education for undergraduate students with visual impairments in Palestine. Adopting a qualitative case study approach, semi-structured interviews were conducted with 21 participants to capture their lived experiences of using GenAI in learning contexts. Thematic analysis revealed that GenAI facilitates personalized adaptation, inclusive access, teacher augmentation, educational parity, and lifelong learning. Key technological attributes—interactivity, user-friendliness, affordability, multimodality, integration, and scalability—were identified as central to accessibility in low-resource contexts. Participants also highlighted GenAI’s role in fostering equity, responsible use, digital fairness, and cross-border collaboration, broadening inclusion to encompass cultural and social participation. The findings extend adaptive learning theories by emphasizing modality flexibility and immediacy; enhance technology acceptance models by showing the interdependence of usability, affordability, and accessibility; and enrich digital equity discourse by framing inclusion as both infrastructural and cultural. The study contributes to Sustainable Development Goal 4 (SDG 4) by offering practical insights for ethical and equitable GenAI integration in education.

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Cite This Study

Khlaif et al. (2026) studied this question.

synapsesocial.com/papers/69be35836e48c4981c673d72https://doi.org/10.1016/j.ijaied.2026.100008
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