Workflow Productivity Use Case: Creating Accessible Course Content with AI

Instructions

1. Copy the assignment instructions from Microsoft Word.
2. Paste the text into ChatGPT.
3. Ask ChatGPT to convert the document into accessible HTML.
4. Review the generated HTML for accuracy, accessibility, and formatting.
5. Test the HTML in the LMS to verify headings, lists, links, and reading order.
6. Make any necessary edits before publishing the content to students.

AI Prompt

Convert this into valid WCAG 2.2 AA semantic HTML.

Preserve every word, punctuation mark, and line exactly as written. Do not rewrite or summarize. You may slightly improve the text for clarity, but do not change the ideas.

Replace visual formatting with proper semantic HTML elements such as headings, paragraphs, ordered and unordered lists, blockquotes, tables (when appropriate), and pre/code blocks for code.

Accessibility requirements:
- Use a logical heading hierarchy (h1, h2, h3, etc.).
- Use semantic HTML5 elements where appropriate (section, article, nav, header, footer, main).
- Add appropriate ARIA attributes only where they improve accessibility.
- Ensure links are descriptive and keyboard accessible.
- Preserve whitespace only where meaningful.
- Generate clean, standards-compliant HTML suitable for a learning management system.

Human Review

Before publishing, review the output to ensure:

• All instructional content is present.
• Headings are in the correct order.
• Lists and links function correctly.
• Accessibility requirements are met.
• The HTML renders properly in the LMS.

Outcome

The process significantly reduced the time required to convert Word documents into accessible LMS content while maintaining instructor oversight of the final published material.