• 39th CSUN Assistive Technology Conference - March 18-22, 2024 at the Anaheim Marriott

    The Premier AT Conference

39th Annual CSUN Assistive Technology Conference Has Concluded

Inclusive eLearning Content by Design

Date & Time
Thursday, March 21, 2024 - 9:20 AM PDT  
Elite 1-3  
In today’s landscape, universities produce eLearning documents in various forms such as .jpg, pdf, .docx, ppts, videos, etc. eLearning is equally important for PwDs as it helps them in reducing the physical barriers, offers flexibility and promotes self-paced preferences. However, section of the world population with print disabilities is still deprived due to inaccessible digital facilities. It’s even more difficult to render information from STEM eLearning that has complex expressions or mathematical equations. We have conceptualized content accessibility platform to create accessible documents, while addressing the complexity of different types of content. The scope of our initial experiment was to get raw content, identify accessibility issues and fix them. The approach is as follows: Identification and extraction of elements, attributes from raw and unstructured content derived from traditional document formats. Assessment of non-compliances as per Accessible Digital Publishing Standards, remediating them, creating document structure with logical reading order. Converting the document into an Accessible Document Format like accessible EPUB3, DAISY E text, DAISY, audio-text, E braille. The STEM component of the proposed solution generates the textual description of input math source code (MathML). This text is presided by layers of informative assistive text. The layers of assistive text vary based on the mathematical structure within the provided MathML input.  
  • Higher Education
  • Information & Communications Technology
  • K-12 Education
  • Finance & Banking
Audience Level
Session Summary (Abstract)
An AI based Content accessibility Platform based solution for making eLearning content accessible by introducing accessibility in content life cycle along with handling the complex mathematical expressions for STEM to provide education opportunities.  
Primary Topic
Artificial Intelligence (AI) & Machine Learning (ML)  
Secondary Topics
  • Digital Accessibility
  • Education
  • Evaluation & Remediation
Session Type
General Track  


  • Sumeet Agrawal
    Tata Consultancy Services Limited

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