Screencast Demonstrations
The videos below are projects created to build my experience, technical skills, and understanding of screencast media. I felt a sense of familiarity going into these projects, as I have created and edited screencast videos in my professional role to serve as training guides on various topics. I have used Microsoft Clipchamp to add closed captioning and to make brief edits as needed. Nonetheless, these projects were beneficial, as I learned and integrated new editing features and learning styles to capture the user’s attention while ensuring they could easily follow along. Considering our earlier class modules, I considered Mayer and Moreno’s (2003) three main principles of multimedia learning and Mayer’s (2003) principles for designing effective multimedia explanations when constructing these projects. In the screencast video I created on how to add simple conditional formatting in Excel, I used a highlighted cursor and graphics, such as arrows and circles around the fields I was clicking, to keep the audience aligned with where I was on the screen. I practiced these same principles in my screencast video on AI video editing in Microsoft Clipchamp. The AI editing tools available today offer valuable educational benefits, allowing students, educators, and professionals to operate a user-friendly platform to create and modify learning materials that meet specific major learning outcomes and audience needs. The tools required to create educational materials continue to expand, thereby becoming more readily available to users across all areas. However, as Mayer’s (2003) coherence principle suggests, just because we can use AI to incorporate various elements into an educational video, we must avoid unnecessary distractions that can hinder deep learning.
Mayer, R. E. (2003). Elements of a science of E-learning. Journal of Educational Computing Research, 3, 297–313. https://doi.org/10.2190/yjlg-09f9-xkax-753d