Making Sense of Student Feedback: Metrics for a More Meaningful Interrogation of SEI Data

This event is part of the CTLT Spring Institute, taking place from June 3–6, 2024.

At UBC, Student Experience of Instruction (SEI) quantitative data consists of responses on a 5-point Likert scale. An interactive dashboard is currently being developed to assist instructors, as well as administrators, to visualize the reported metrics within context.

This workshop will demonstrate how the metrics and dashboard support instructors to make sense of the student feedback they receive. Participants will have the opportunity to discuss, in small groups, how to interpret both the metrics and textual comments in instructor reports.

Facilitators: 

• Abdel Azim Zumrawi, Statistician, Planning & Institutional Research (PAIR) & former Adjunct professor in Forest Resources;
• Tizitash Mohammed, , Programmer Analyst, Planning & Institutional Research;
• Alison Wong, Project Manager II, Planning & Institutional Research

This event will be hosted over Zoom.