Applied Checklist: Video

Findings & Rationale

“Recognizing Recognizable PDFs” was composed in Camtasia. After exporting title slides from PowerPoint and editing them together along with voiceover and footage of scanned and born-digital PDF models, I uploaded the MP4 to YouTube and edited the caption file to make it accessible. Although there is no interactive content, the brief video zooms in on a skill necessary for learners who need to remediate documents. Since it’s hosted on YouTube and licensed under CC BY, it’s a stable OER that could be embedded in most LMS or CMS.

This video’s goal is to instruct faculty teaching online, or other designers, how to tell if a PDF is a good candidate for remediation. It can take a long time to do this work, and starting with a high-quality scan or born-digital document can save valuable time. This would be one of several videos in a Canvas course on UDL and accessibility. Its models provide a foundation for more specific and hands-on remediation work.

Creative Commons License
By Adam Engel. This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Header image "Sumi-e Mountain Landscape" by BabakoSen.
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