Automated Analysis of Web Accessibility Across 20 MOOCs Platforms

Citation Author(s):
Amira
Dhouib
Submitted by:
Amira Dhouib
Last updated:
Sat, 12/23/2023 - 09:26
DOI:
10.21227/e1xm-ve27
License:
Creative Commons Attribution
126 Views
Categories:
Education and Learning Technologies
Other
Keywords:
Accessibility, MOOC, Online Education, Digital Learning.
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Abstract 

This dataset comprises detailed evaluations of web accessibility features across 20 major MOOC platforms, based on the Web Content Accessibility Guidelines (WCAG) 2.1. It is intended for researchers, educators, web developers, and policymakers interested in understanding and improving the accessibility of online learning environments. Despite the ongoing advancements in this field, MOOCs platforms still present considerable accessibility challenges for users with disabilities.

Instructions: 

  1. Understanding the Data Structure: Check the Technical Notes file for insights into the evaluation criteria.

  2. Analyzing Accessibility Scores: Use the evaluation data to compare and analyze the accessibility features of different MOOC platforms.

  3. Applying the Data in Research: This dataset can be used for academic research, policy formulation, etc.

Comments

Hello world

Submitted by Allison Hutchison on Thu, 05/02/2024 - 14:30

Dataset Files

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