My first video was made with Venngage’s Accessible Color Palette Generator, Canva, Camtasia, and Google Docs. I started with Canva to make a diagram, created a slides deck and added transitions. Then, I used Camtasia to screen-record my presentation while I read aloud from a script I wrote on Google Docs.

I like the control with manual video generation. Though some of the transitions are not the smoothest – the sliding text on the assessment slide for example – I like piecing together the different elements. Manual creation allows me to follow general WCAG guidelines and bring my full wealth of knowledge as a teacher to sharing knowledge in a concise format. Though more time-consuming than generative AI, I like the personalized human touch. 

My second video was made with Biteable. As the purpose was to use generative AI, I started with the Video Assistant generator. I then added my own script, since I had one from the first video, and asked it to use a female voiceover. Then, in the video editor, I added additional slides and clarified text to make sure the video went through the main points of my remixed learning model. 

It was definitely odd hearing a generic voice saying my name; and the initial video was nowhere near as in-depth as my manual video. It also failed to display my sources, and required several rounds of prompting before I realized the video generator would not accept my formatted references and I had to manually add a source slide. However, with some editing, I like the concise nature of the generative AI video.

Overall, there are benefits to both manual and automated video methods. The concise nature of a generative AI helps me focus my attention on the most salient points, and cuts down on time finding media and making transitions. The manual nature of Canva allows me full creative control, adding a human touch that is important to me, especially given the focus of my learning model on equity and social justice.