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Developing E-Learning System to Support Visual Impairment During Covid-19 Pandemic

  • Natural Language Processing
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Abstract

E-learning is a common tool to support the education in variety of scenarios. As the education content can be prepared by the group of specialists, but the skilled teachers are limited in remote area. Also, the contents in most curriculum are planned to distribute to limited skilled people. The gap of education can be full-filled with E- learning system. However, the conventional E-learning is high cost system and not appropriated for rural area. Also, opensource system is complicated to implement and configure in dedicated curriculum. This research is proposed the customized design of E-learning system for supporting visual impaired student with dynamic design during Covid-19 pandemic. The limitation has challenged the research to sharing and testing among the stakeholders. The system is designed and implemented from actual requirements from teachers and students in university level. As a result, the result show student involvement and deliver more content and knowledge to the visual impaired students. The feedback from actual usage also is evaluated.

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Publication details

DOI
10.5121/csit.2021.112331
OpenAlex
W4200500075
Document type
conference-paper
Language
EN
Source
Natural Language Processing
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