Files
Download Full Text (917 KB)
Description
This guide describes a repeatable workflow for converting existing course materials into clean, Canvas-compatible HTML using artificial intelligence (AI).
While plain text can often be copied directly into Canvas, mathematical notation frequently requires additional time-consuming formatting. This workflow uses AI to convert images of course materials into semantic HTML designed to support accessibility while preserving mathematical expressions as Canvas-compatible equation images generated from LaTeX. The resulting HTML is then reviewed in Canvas, refined as needed, and compared to the original source material through an iterative review process.
This workflow is appropriate for converting a variety of instructional materials, including:
• Microsoft Word documents
• PDF documents
• Scanned pages
Document Type
Book
File Type
text
Document Version
Final Version
Publication Date
October 2026
Language(s)
English
Publisher
Missouri University of Science and Technology
Publisher Place
Rolla, Missouri
Rights
© 2026 The Author, All right reserved
Creative Commons Licensing
This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 4.0 License.
Recommended Citation
Duncan, Emily, "AI-Assisted Guide to Converting Equations and Text to Canvas HTML with LaTeX" (2026). AI Education. 1.
https://scholarsmine.mst.edu/aie/1
Comments
How to Cite This Guide:
Duncan, E. L. (2026). AI-assisted workflow guide to converting equations and text to Canvas HTML with LaTeX (Version 1.0). Office of Online Learning and Educational Innovation, Missouri University of Science and Technology.