Using Course Analytics

Analytics evaluate individual components of a course and evaluate student performance. Course Analytics takes a three-pronged approach to creating substantive data for Canvas users. 

  • Justification focuses on system reports and how the system is being used. 
  • Intervention looks to predict at-risk students and how to meet their needs. 
  • Learning focuses on learning outcomes, the effectiveness of the teaching style, and the division of time between students achieving competence and those falling behind.

When Would I Use Course Analytics?

In Course Analytics, there are four main sections:

  • Activity allows the instructor to see when students view a page or participate in the course.
  • Assignments allows the instructor to view if students submit the assignment on-time, late, or not at all.
  • Grades use a box and whisker plot to show the distribution of grades in the course.
  • Student Analytics shows page view, participations, assignments, and current score for every student in the course.

Use Course Analytics to:

  • Predict how students react to course activities.
  • See which students are at-risk and need help.
  • View how effective your teaching strategies are in allowing students to learn.
  • See a quick view of what your students are achieving in your course.
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Instructor inquiries

Contact LearnTech at the Teaching and Learning Centre:

778.782.9607
learntech@sfu.ca
www.sfu.ca/learntech

Beedie School of Business instructors: uglms@sfu.ca

CODE course supervisors and tutor-markers: Contact your program director: code.sfu.ca/aboutus/staff.html