Learning analytics in Canvas collect and analyze student usage patterns. Here are a few ways learning analytics may become a beneficial tool for you!
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Analyzing quiz scores
Quiz analysis is a quick way for instructors to access statistics on assessments they assign. This tool provides the average score, highest and lowest scores, the standard deviation, and the average time students allotted to complete the quiz. Instructors can also toggle between course sections with ease.
Analyzing relationships between engagement and learning
These data can allow instructors to examine relationships between student engagement and learning outcomes. The most common uses of Canvas analytics are to identify students who are not succeeding academically. With student analytics, the instructor can quickly identify students with low participation and multiple missing/late assignment, and actively reach out to these students in the early stage.
Analyzing assignment difficulty
Canvas analytics also can be used to identify assignments that cause students difficulty. Canvas provides quiz item analysis statistics for quiz questions, which can measure the test’s internal consistency, difficulty index, and item discrimination index. Instructors can use these data to adapt and modify assignments, quizzes, and curriculum.
Analyzing large course demographics
Canvas analytics is especially helpful and useful for large courses. It can help the instructor to track more data than an instructor can on their own. With internal and external analytic tools, such as course analytics and Threadz, instructors can better understand the learning process and take action to improve learning outcomes with a large audience.
