You now have greater access to student activity in your course through a new feature in MyUni that supports evidence-informed engagement in your learning and teaching activities.

The new feature “LMS Analytics” has been added to Semester 1, 2018 MyUni courses.

LMS Analytics enables staff to –

  • see the number of Views and Participations in each of the course elements
  • sort each column
  • search a course element or title (full title or partial)
  • download the information to a csv file


Actions that will generate a (student) view –

  • assessing a MyUni page within the Course
  • downloading a file


Actions that will generate (student) analytics course participation –

  • loading a collaboration to view/edit the document
  • joining a web conference
  • posting a new comment to a discussion or an announcement
  • starting and submitting a quiz
  • submitting an assignment
  • creating a wiki page


Future enhancement …

  • Student lists (who has/has not viewed/participated)
  • Feedback mechanism
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The fastest way to get an overview or a brief insight on the activities in your course before a ‘ big dive’ is to get data from the Analytics User Interface in the LMS.

Instructors can find a number of user interface buttons/icons for easy access to the captured digital footprints generated by learners, making it possible to observe progress at specific stages and in specific activities of a course

1.Course Analytics –   shows an instructor when the cohort viewed and participated in the course, view the percentages of students who submitted assignments on-time, late or not at all, a box and whisker plot to show the distribution of grades in each assignment and a table at the bottom that shows page views, participation, assignments, and current score for every student in the course.

2.Student Analytics – instructors can select an individual student to view their analytics. Student analytics shows the course activities (views and participation) for the student, conversations that have taken place between the student and instructor(s) in the Canvas Inbox, the timeliness and score for each submission by the student, the cohort median, 25th-75th Percentiles, high and low scores as well as the student’s score for each assignment and  the number of times a student viewed or participated in a particular content.

3.Quiz – detailed analyses of quiz questions and students attempts are available in ‘Quiz Analytics’ that includes Quiz Summary, Question Breakdown, Discrimination Index, Student Analysis and Item Analysis.

4.Student Context  – provides a simplified overview of a student’s progress in the course, relating to submissions, page views, and participation.  They appear to the right of the screen when you click on a student’s name in either the ‘Marks’ or ‘People’ pages.

5.Student Grades – instructors can view individual student grades via the ‘Marks’ page or the Student Context card. It shows the name, due date, score and points possible for each assignment as well as a summary at the bottom.

6.Access Report – Individual student Access Report lists each module/file in the course that a student has visited, the number of times it has been viewed and participated in, and the time it was last viewed.

7.LMS Analytics (LTI) –  is a tool that creates a list of content in the course and the number of views and participation for each item with sorting and search functionality. The data contained is an aggregation of the student Access Reports and counts the numbers of students who have and have not viewed or participated in each piece of course content

– Learning Analytics Project Team 


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The 4 levels of learning analytics, explained. Published June 16, 2014.

Lepi, K 2014, Analytics, The 4 Levels of Analytics Thinking by Katie Levi, School Leadership 2.0, viewed 19 June 2017,

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Analytics: Harnessing the Power of Data A decade ago, it was easy to find education leaders who dismissed student achievement data as having only limited use for improving schools or school systems. Today, we have come full circle with the education industry broadly embracing data-based decision making and research-based practice. In 2017, Canvas predicts the […]

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Welcome to our very first blog on the Learning Analytics project! ‘Learning Analytics’ is defined by The University of Adelaide as: “The practice of developing actionable insights through the collection, analysis and reporting of data about learners and their contexts, for purposes of understanding and optimising learning and the environments in which it occurs. ” […]

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