I feel the audience for this screencast consists of people who have some interest in basic study or experience in coding or computer science. That’s why I didn’t mention too many details on fundamental coding knowledge, like what coding and datasets are, what coding language I’m using, or how to run the code. So, for people with no basic understanding of computer science, the content might be confusing. However, for those with some basic understanding or experience in coding or machine learning, the content should be very simple and clear.

Limited capacity (Cognitive Load Theory) is the most intuitive one. When I attended the face-to-face course in UVIC, I found that there are reasons that the course is designed to this length. One of the reasons is that as the time reaches the end of the course, I find that it’s getting harder for me to keep concentrating. And I found out that even though some courses have longer lecture lengths, the amount of time that I can focus on does not change much. The most surprising one is the Image Principle. I found it surprising that having the presenter onscreen during a presentation doesn’t enhance learning and might even be distracting. I found it makes sense to relate to the online courses. I sometimes ended up staring professor’s face and got totally lost in the lecture.