Viewing Learning Analytics for eClass Courses
Posted by Dave Laurie on 02 May 2017 03:52 PM
It is now possible to generate visual reports that analyze student activity in your course. Instructors have the option to choose from a number of configurable reports that can help them see patterns of student access, engagement, and performance. The new learning analytics suite in eClass was locally developed as a part of a TLEF grant under the direction of Dr. Ali Shiri, School of Library and Information Studies.
Learning Analytics Basics
The analytics reports are available in the default 'Reports' area of the Course administration block:
The analytics landing page has the option to Add a report or Schedule a report. Added reports are graphs visible in your browser; scheduled reports will generate a list of students matching specific criteria and email them to you once a week.
*Alternatively, the same menu can be reached from your profile page. For instructions on how to access your profile, please see this article. When viewing your profile, click on the Analytics(Beta) option under Reports:
Next, select the desired course from the drop down menu, and click on Add Report:
This can be especially useful for easily comparing analytics between multiple courses.
Clicking Add a report will open a dialogue box showing a list of all the available report types on the left  and a detailed description of the selected report type on the right . The list of available reports may vary depending on your role in the course.
The types of reports available are:
All reports contain a basic set of tools to define the range of data for visualization. A detailed explanation of these features is available in the article Common Features of Learning Analytics Reports. Clicking Apply filter within any report will show the default results for the report.
The following articles detail how to get the most out of the analytics tools and provide some guidance for performing specific analysis tasks:
It is also possible for instructors to enable learning analytics reports to students for their own data which can be useful in self-evaluations or reflections on course performance. More information and instructions for doing this are available in the article Allowing Students to View their Own Learning Analytics Reports.