The Learner Engagement Analytics Dashboard (LEAD) is a course-level dashboard that provides visualizations of student access to materials in Canvas courses. This document describes a process you can use with LEAD to help identify struggling students, as well as some reminders and caveats for use.
Note: This document describes a learning analytics approach to help support student success.
Campus tools such as Canvas, Kaltura MediaSpace (video/audio/images), and Unizin Engage eText are connected to student roster information. This allows student data to be connected with a record of their course access and interaction, such as:
More information about LEAD is provided in the Learner Engagement Analytics Dashboard Overview KB doc, including more details about the data and the official data definitions.
LEAD is currently available for instructors teaching for-credit courses who are enrolled in Canvas as a principal instructor, auxiliary instructor, or supervisory instructor.
Instructors can access the current semester of LEAD at go.wisc.edu/lead. You will be able to log in by following the instructions on the screen.
For easiest access to prior semesters of LEAD (each semester has a separate link) as well as other learning analytics resources, add the Learning Analytics for Instructors Widget to your MyUW page.
Once inside LEAD you will have access to a home page and three visualization pages.
Some indicators of students struggling with your course may be shown in LEAD data as low grades, low access to materials online, or both. In your teaching, you may use other signs as well that give clues about which students are struggling, such as their attendance or participation. When considering data in this example, think of it as a potential complement to other indicators that a student might be struggling.
The LEAD Grades vs Page Views tab displays a scatter plot visualization that shows data regarding students’ scores from the Canvas gradebook, plotted in relationship to a count of their course Page Views. This visualization can be useful to check for potentially struggling students since the plot style can allow you to see instances of students with low counts of page views, low grades, or both.
The scatter plot visualization plots two different measures for each student -- their grade and their number of Page Views, representing each student with a dot.
Consider what student engagement looks like in your course, and what indicators you look for in addition to online access. For example, you may consider quality of work, interactions with classmates, types of questions and comments made.
Wise, Alyssa Friend, and Yeonji Jung. "Teaching with analytics: Towards a situated model of instructional decision-making." Journal of Learning Analytics 6.2 (2019): 53-69.