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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.

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.

In online courses, opportunities for student engagement need to be deliberately designed (Martin & Bolliger, 2018). One common way to promote student engagement online is through discussion forums, for which there are widespread established best practices. However, the Q&A discussion forum, which is typically not graded or required, is often thrown into a course without clear intentions or structure. When purposefully designed, a Q&A forum can facilitate the crucial engagement types that are essential to building a community of inquiry in an online classroom, ultimately improving student satisfaction and learning outcomes. These engagement types are student-content, student-student, and student-instructor (Bernard et al., 2009 as cited in Martin & Bolliger, 2018). A Q&A forum should incorporate best practices around all three engagement types.

Online forums are valuable learning tools: they merit the time and thought it takes to create them, but they must be well-designed to be effective for instructors and students. Baker and Ahlegren (2022) note that instructors may start out with the best of intentions and a desire to achieve multiple goals, such as promoting critical thinking and fostering a community of authentic learners. However, discussion boards often become just another writing assignment, a missed opportunity to “elicit debate, inspire meaningful ideas, and fully engage . . . learner[s]” (Blakely et al., 2022, p. 3). When this happens, students can view discussions as transactional, not transformative (p. 3).

For many people, “online learning” conjures images of successive videos, shot in a studio or perhaps on location, featuring high production value and expert, polished speakers, interspersed with short quizzes or activities. Indeed, strongholds such as MasterClass, LinkedIn Learning, and Coursera have mastered this formula and led many to believe that it is the recipe for success. While the economic success of these companies is undeniable, the effectiveness of an online course is measured by student success. When done well, video can have a positive impact on student learning (Clark & Mayer, 2011). Rather than designing your course according to the economic model, follow the evidence and research-based principles of visual communication, cognitive science, and online learning to decide when and how to create instructional videos. Through careful consideration of your learners, your objectives, your constraints, and the following best practices, you can spend your time and resources creating only the most essential videos. For a visual aid that accompanies this article, see the Video Planning Decision Tree.