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Good practice Imported

AI4KSL — Maseno University's AI Bridge Between Spoken English and Kenyan Sign Language for Deaf Learners

Kenya · Maseno · See the Kenya profile

Evidence: Descriptive / self-reported Top 70% 40/100 · Ask Evidence Copilot about this practice

Maseno University's AI4KSL project built an open dataset and prototype AI translator from spoken English to Kenyan Sign Language, drawing on data from 400 Deaf learners and 48 KSL teachers, to help mainstream Kenyan schools include Deaf students.

400
Deaf learners in data-collection cohort (2023-2024)
48
Teachers/tutors of the Deaf in cohort (2023-2024)
AI4KSL — Maseno University's AI Bridge Between Spoken English and Kenyan Sign Language for Deaf Learners

Details

Maturity
Pilot
Promoter
Maseno University (AI4KSL)
Period
2023–2024
Keywords
assistive technology, sign language, deaf education

Context

Maseno University's AI4KSL project set out to build assistive AI translating spoken English into Kenyan Sign Language via virtual signing avatars, to bridge communication between Deaf students and hearing peers/teachers in mainstream Kenyan schools.

Activities

Over 2023-2024, researchers collected sign-language elicitation data from 400 Deaf learners and 48 teachers/tutors of the Deaf, releasing an open-access dataset validated through stakeholder and town-hall dissemination workshops with the Deaf community.

Conclusions

As a foundational research and dataset project rather than a deployed classroom tool, AI4KSL has not yet published measured effects on learners' academic outcomes or teachers' proficiency; its evidenced contribution to date is the open KSL dataset and validated data-collection process.

Implementation

Indicative cost
Low (< €50k)
Time to results
Short (< 1 year)
Staffing & skills
Maseno University researchers, Deaf community stakeholder groups

Conditions for success

  • Community/stakeholder validation via town-hall workshops

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Data sources

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