Leveraging Artificial Intelligence to Bridge Communication Gaps in ODL for Deaf Students at TVET Institutions in Jamaica and Kenya
Abstract
Inclusion and accessibility are critical aspects of equitable education. This case study examines how AI-driven assistive technologies can foster equitable education in TVET by improving communication, learning experiences, and collaboration for deaf students. The effectiveness of AI-driven solutions like real-time transcription, AI chatbots, and digital avatars in addressing communication challenges was investigated. Strategies to overcome barriers to AI implementation, such as enhancing knowledge and training in the use of AI tools, as well as the infrastructure and multilingual and multicultural capabilities of AI-assistive tools, were explored. A mixed-methods approach was employed to gather data from TVET practitioners and students in Jamaica and Kenya, combining quantitative analysis of student experience and perception with qualitative insights from TVET teachers and students. The findings highlight AI's transformative potential, empowering deaf students to achieve equitable educational outcomes and preparing them for success in the workforce. Recommendations include integrating AI tools into teacher training, developing localised sign language databases for technical terms, and fostering partnerships between AI developers and TVET institutions. This research contributes to the broader discourse on inclusive education, providing actionable insights for educators, policymakers, and technology developers.
PCF11 Sub-Theme: Changing Mindsets for Inclusive Open Education
Paper ID: 9261
Subjects: AI-Driven Assistive Technologies; AI Tools; Equitable Education.
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Date
2025-09-12
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Commonwealth of Learning (COL)