ASL Educators’ Perspectives on AI for Enhancing Student Learning in American Sign Language Education

Interest in learning American Sign Language (ASL) is growing across higher education institutions in North America, as reflected in rising enrollments. Yet this growth is constrained by limited program availability and few opportunities to practice outside the classroom. AI-based technologies show promise for supporting ASL learning, but educators – who bring essential pedagogical, linguistic, and cultural expertise – have been largely absent from conversations on the design of these tools, with prior work focusing primarily on learners. To address this, we conducted formative interviews with eleven Deaf and one hearing ASL instructor, followed by two focus groups with six Deaf educators, to examine how AI tools could support ASL education. Findings revealed priorities for technology design and considerations for integration into existing pedagogical practices, with attention to curricular, linguistic, and access factors. We offer insights for designing and researching technologies aimed at (1) providing adaptive, structured feedback on signing performance and (2) supporting immersive conversational practice with virtual signing partners.

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Publication Details

Published
2026-04-13
DOI
https://doi.org/10.1145/3772318.3791928
Citations
1
Primary Topic
Hearing Impairment and Communication
Type
article
Field-Weighted Citation Impact
0.00

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article

ASL Educators’ Perspectives on AI for Enhancing Student Learning in American Sign Language Education

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1 citations
Hearing Impairment and Communication
article

ASL Educators’ Perspectives on AI for Enhancing Student Learning in American Sign Language Education

Laleh Nourian, Matt Huenerfauth, Caluã de Lacerda Pataca, Michelle L. Olson, Garreth W. Tigwell, Syeda Mah Noor Asad, Toni D'aurio, Kanupriya Agarwal
article en
1 citations

Abstract

Interest in learning American Sign Language (ASL) is growing across higher education institutions in North America, as reflected in rising enrollments. Yet this growth is constrained by limited program availability and few opportunities to practice outside the classroom. AI-based technologies show promise for supporting ASL learning, but educators – who bring essential pedagogical, linguistic, and cultural expertise – have been largely absent from conversations on the design of these tools, with prior work focusing primarily on learners. To address this, we conducted formative interviews with eleven Deaf and one hearing ASL instructor, followed by two focus groups with six Deaf educators, to examine how AI tools could support ASL education. Findings revealed priorities for technology design and considerations for integration into existing pedagogical practices, with attention to curricular, linguistic, and access factors. We offer insights for designing and researching technologies aimed at (1) providing adaptive, structured feedback on signing performance and (2) supporting immersive conversational practice with virtual signing partners.

Tulane University (US), Birmingham City University (GB), Rochester Institute of Technology (US)
National Science Foundation, Louisiana Board of Regents
Quality Education
Openalex Percentile: Top 21%
Hearing Impairment and Communication
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