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Higher education institutions are racing to keep pace with the disruption caused by artificial intelligence (AI) tools. A 2023 QuickPoll survey by Educause found that 83% of higher education stakeholders believe generative AI will "profoundly change" the sector over the next three to five years. Additionally, 65% agreed that "the use of generative AI in higher ed has more benefits than drawbacks" (McCormack, 2023, Table 1). While institutions are exploring AI's potential in areas such as admissions, enrollment, administrative duties, scheduling, and institutional data research, this piece focuses on the overarching risks and rewards AI presents in teaching and learning.

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.

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.