HCCLNov 27, 2019

Towards improving the e-learning experience for deaf students: e-LUX

arXiv:1911.13231v1
Originality Synthesis-oriented
AI Analysis

This work addresses the digital divide for deaf students in e-learning, but it appears incremental as it builds on existing guidelines by focusing on SL integration.

The paper tackles the problem of improving e-learning accessibility for deaf students by addressing their difficulties with written language and proposing solutions that incorporate Sign Language (SL) as their native language, though no concrete results or numbers are provided.

Deaf people are more heavily affected by the digital divide than many would expect. Moreover, most accessibility guidelines addressing their needs just deal with captioning and audio-content transcription. However, this approach to the problem does not consider that deaf people have big troubles with vocal languages, even in their written form. At present, only a few organizations, like W3C, produced guidelines dealing with one of their most distinctive expressions: Sign Language (SL). SL is, in fact, the visual-gestural language used by many deaf people to communicate with each other. The present work aims at supporting e-learning user experience (e-LUX) for these specific users by enhancing the accessibility of content and container services. In particular, we propose preliminary solutions to tailor activities which can be more fruitful when performed in one's own "native" language, which for most deaf people, especially younger ones, is represented by national SL.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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