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

This event is part of the CTLT Summer Institute, taking place from August 19–22, 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 (interpolated median, percent favorable and dispersion index) 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 ZumrawiAbdel 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

 
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