What we learn from Canvas Analytics?

In small, face-to-face classes, instructors generally have a clear picture of which aspects of their course their students are most interested in and what concepts they might be struggling with.

Getting these types of insights for large or online classes can be more of a challenge, but if you’re teaching with Canvas, you have access to a number of built-in analytics and statistics tools that can help provide a fuller picture of student engagement and performance: Canvas Course Analytics, Student Analytics, and Quiz Statistics.

Course Analytics

Canvas Courses Analytics displays data about how students are interacting with various aspects of your Canvas course, providing visualizations for course activity, assignment submissions, and grades.

  • Activity by Date shows page views and course participation, such as taking a quiz or posting a comment in the course.
  • Submissions displays whether students have submitted an assignment on-time, late, or not at all.
  • Grades shows the distribution of grades in the course.

Detailed instructions for accessing Course Analytics are available on the Canvas Guides. Canvas has also created a Course Analytics video tutorial.

Student Analytics

Canvas Student Analytics provides visualizations for several aspects of student activity and performance, including course participation, assignment submissions, communication, and grades.

There are a few scenarios where Student Analytics can be useful. For example, if you’re concerned that a particular student may be struggling, the Assignment Submissions graph provides a quick view of the status of each assignment and whether it was submitted, submitted late, or not submitted at all. The Communication Graph shows the dates that Canvas messages have been exchanged between you and the student.

Learn more about using Canvas Student Analytics.

Quiz Statistics

Canvas Quiz statistics provides data and visualizations that can be used to reflect on and refine future quizzes and quiz questions, including the highest and lowest quiz scores, the average amount of time spent in a quiz, and the distribution of student responses.

One particularly useful Quiz Statistics feature is the Discrimination Index, which can help identify potential issues with quiz questions by displaying the correlation between how well students scored on a particular quiz question and their overall score on the whole quiz. A higher score indicates that students who scored well on this question did well on the test overall, and a low score indicates that students who scored well on the whole quiz got this question wrong.

Learn more about using Canvas Quiz Statistics.

Canvas Analytics in action

Canvas Analytics workshops

To learn more about how to access, use, and interpret analytics and statistics in Canvas, come join us for an upcoming Canvas Analytics Workshop on September 13 or November 27.

Canvas Analytics workshops are facilitated by UBC’s Learning Analytics Project Working Group, and will include an overview of new and emerging analytics tools, as well as discussion about which features would make analytics tools more useful for instructors and students.

Learning analytics at UBC

Canvas analytics and statistics are only available to UBC instructors and TAs for the courses that they’re teaching. However, UBC’s Learning Analytics Project is also currently exploring analytics tools that can provide students with useful data and visualizations that can help support their learning.

To learn more about analytics at UBC, please visit the Learning Analytics Project website. If you’re interested in finding out more about other analytics tools that can be used with your courses, check out the full list of upcoming learning analytics workshops.