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LMS Analytics: Supporting Your Students With Data
With the help of tools like Canvas New Analytics, faculty can leverage learning management system (LMS) data to hone their instructional techniques and improve their online students' experience. In this piece, we provide an introduction to learning analytics in online higher education and detail some analytics best practices.
Navigating Canvas New Analytics
At the end of 2019, Canvas rolled out New Analytics, a new version of their former analytics tool, Course Analytics. By Canvas' own description, New Analytics retains the core functionality of Course Analytics while offering a simplified user experience. In this post we share our recommendations for leveraging New Analytics to support students.
Increasing Engagement With Announcements
Announcements are an essential aspect of online course engagement. When surveyed, students rated “sending regular announcements or email reminders” as one of the most beneficial engagement tactics that an instructor can employ (Martin & Bolliger, 2018, p. 216). In Canvas learning management system (LMS), announcements have a distinct advantage over inbox messages or whole-class emails, as announcements allow students to locate important course information in one convenient location, chronologically arranged. In contrast, email or inbox messages can become much more unruly, rendering information harder to find—especially after the course ends. In addition, most students should receive an email every time an instructor posts an announcement.
Enhancing Quantitative Courses With Varied Learning Approaches
Employing a variety of modes of instruction and assessment, as recommended by Universal Design for Learning (UDL) principles, can enhance the learning experience for students in quantitative courses. Diverse elements such as visual aids, interactive features, and real-world applications can complement, extend, or replace traditional lectures and exams. Since classes consist of students with varying learning preferences and strategies, using multiple modes of representation in a course promotes deeper understanding, engagement, and skill development. This piece details design elements that can be particularly impactful in quantitative courses.