Abstract
This presentation explores our core strategy implemented to optimize the learning algorithm: two one-point auto-graded Canvas quizzes per lecture – one quiz at the end of class (minutes after writing notes) and one at the start of the next class (one day after writing the notes). A quiz one week later finalizes the learning algorithm. The two-quiz format also keeps attendance, since the auto-graded scores immediately integrate into Canvas Gradebook. Absences and late joiners are easily seen. The two-quizzes-per-class-session format also keeps students engaged in the lectures. The first quiz, which covers the previous class session, gets them to review their notes before class; the second quiz, covering the previous 45 minutes, keeps them engaged in class. I use Canvas New Quiz Fill-In-the-Blank (FITB) questions nearly exclusively: I believe FITBs are pedagogically superior to True/False and the average Multiple-Choice question (which also take more effort to create). However, there are many tips and tricks to using Canvas New Quiz. I review these and invite discussion. I also outline how I have adapted Zoom to quickly jump between my PowerPoints and the all-important short YouTube videos during lecture, while keeping the Chat and Participants windows always visible, which is important.
Presenters
Don LotterSenior Lecturer, Biology, California State University Sacramento, California, United States
Details
Presentation Type
Theme
Considering Digital Pedagogies
KEYWORDS
NO EXAMS, AUTO-GRADED QUIZZES IN EACH LECTURE, OPTIMUM LEARNING ALGORITHM
Digital Media
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