The Learner Engagement Analytics Dashboard (LEAD) is a course-level dashboard that provides visualizations of student access to materials in Canvas courses. The LEAD tab named “Grades by Page Views” offers 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.
Note: This document describes a learning analytics approach to help support student success.
The LEAD Grades vs Page Views data could help offer insight into students course access in relationship with grades. This information may be useful to you to find out:
Campus tools such as Canvas, Kaltura MediaSpace (video), and Unizin Engage eText are connected to roster information. This provides potential for connecting student identity data with a record of their course access and interaction, such as:
To access LEAD, you must be a Principal Instructor in your Canvas Course. Navigate to https://go.wisc.edu/LEAD. You will be able to log in by following the instructions on the screen.
Once inside LEAD you will have access to a home page and three visualization pages.
Please review the Official Data Definitions for the Learner Engagement Analytics Dashboard at the end of this document that provides an overview of LEAD. Those definitions explain what LEAD is and describe and define what data you can see in the visualizations.
This visualization format is a Scatter plot. It plots two different measures for each student -- their grade and their number of Page Views, representing each student with a dot. The dot’s placement on the X (horizontal) axis is based on the number of Page Views, the placement on the Y (vertical) axis is based on their current numerical grade.
There are two factors to keep in mind when interpreting the trend line:
Hovering your cursor over the trend line shows values of the statistical relationship between the two variables.
The default view is to show the data for all students in a course, with their Canvas Gradebook Percentage Score, and all Page Views counted from course activities from the start of the semester to within 72 hours* of the current time. This may be good to see general trends of grade distribution and levels of access to the course materials.
*(Note: Please keep in mind that LEAD data is aggregated from multiple sources that are updated at various frequencies, depending on the tool. Data can take up to three days to appear in LEAD.)
You can filter by category using the Main Activity Type, this example shows Kaltura Videos. The Page View counts will adjust according to the category, and the grade displayed will remain as the current grade. This may be useful to review for access trends to a Main Activity Type, and for changes in the Trend Line showing the relationship between grades and Page Views of the selected Main Activity Type.
You can further filter by a specific activity. All of the Kaltura Videos in this example appear in the Name of Activity dropdown; however only one specific video is selected, below. Notice how the scatter plot visualization has changed.
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.
Data may report that a student has logged in, and accessed a course item, but cannot indicate how a student intellectually engaged with the course.