Reclaiming the Educational Voice

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Authors: David Okoth
Cited by: 1
References: 22

Abstract

AI-generated voice narration offers both opportunity and risk when integrated into today's learning experiences. This chapter examines a case study of an AI-enhanced course narration project aimed at improving accessibility, efficiency, and engagement in higher education. While AI voices can democratize access and streamline instructional production, they also raise pressing questions about linguistic representation, accent bias, and the erasure of human and cultural identity in educational media. Drawing from decolonial theory and Universal Design for Learning (UDL), the author explores how institutions can reclaim agency in AI use by intentionally selecting or training voices that reflect diverse linguistic identities, gender expressions, and cultural contexts. The chapter, per the author, shares a reflective design framework for integrating AI narration ethically; one that prioritizes cultural presence, consent, and inclusivity while maintaining pedagogical authenticity.

Fields of Study & Subjects

Educational Theory and Curriculum Studies AI in Service Interactions Sound Studies and Aurality

Publication details

Journal / source
Advances in computational intelligence and robotics book series
Publisher
IGI Global Scientific Publishing
Pages
317–350
Publication date
14 August 2026
Document type
Book chapter