AI-Driven Assistive Tools for Inclusive Education: Opportunities and Ethical Considerations
Author(s): Dharamveer Singh1 Dr. Ashish Pathak2
DOI: https://doi.org/10.64880/theresearchdialogue.v4i3.09
Abstract:
Schools strive to implement Universal Design for Learning (UDL) principles to respond to learner diversity. Personalized and AI-facilitated learning support enables more students to receive the required adjustments. Various kinds of personalisation, including adapting the pace, content, or literacy level of learning materials, reinforce engagement and help build self-regulation skills. AI functions such as generating summaries or translating between languages are beneficial to language learning, while facilitating access to complex content and supporting vulnerable groups, such as refugee students with limited proficiency in the local language. Game-based resources and other such informal modes can also help further the overall aim (Li et al., 2024).
Keywords: Universal Design for Learning, Inclusive Education, Artificial Intelligence, Etc.
Cite this Article:
Singh. Dharamveer, Pathak Dr. Ashish “AI-Driven Assistive Tools for Inclusive Education: Opportunities and Ethical Considerations” The Research Dialogue, Open Access Peer-reviewed & Refereed Journal, pp.68–80. https://doi.org/10.64880/theresearchdialogue.v4i3.09
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