Over 3 weeks there are TWO 90-min required sessions and one 90-min optional session. All sessions are from 10:30am – noon ET on Thursdays.

3/30/23: The first session will focus on guiding principles for learning analytics, building familiarity with data within your own courses, and group discussion on course design principles for improving data collection and action steps.

4/6/23: The second optional session will include in-depth coverage of Quiz Statistics in Canvas as well as an overview of data available via other educational tools, but the content will also be available asynchronously for those who don’t want to attend.

4/13/23: The third session will be heavily structured around participants unique needs but is currently envisioned as small group work, with the assistance of the facilitators, to develop a strategy for an upcoming course that will enable key interventions to enhance student success.

**The second two sessions could be held in-person, in the Computer Science and Engineering building, if attendees prefer, so we will send a survey out in advance to gather feedback on your preferences.