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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.

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.

Late submissions can raise thorny questions for online instructors. While studies show that students who submit assessments before the due date receive higher than average grades, as many as 70% of college students identify as procrastinators (You, 2015, p. 64). Despite instructor attempts to create a manageable workload and motivate students to submit assignments on time, it is inevitable that procrastination, combined with the competing obligations of online students, will result in occasional late submissions. When preparing for an upcoming term, then, it is a good idea to share a late policy that clearly communicates your expectations for student submissions (Santelli et al., 2020, p. 38).