CANCELLED: Student Experience of Instruction: Making Sense of Student Feedback

This event is part of the CTLT Winter Institute, taking place from December 11-15, 2023.

Student Experience of Instruction (SEI) quantitative data often consists of responses on a Likert-type scale (most commonly a 5 or 7-point scale). For many years, the mean (average) and standard deviation were used at UBC to summarize and present quantitative data in instructor reports, a practice common at many institutions even where their usefulness and validity as metrics were being questioned. However, more recently, UBC began using different metrics to report student experience of instruction survey results. The reported metrics include: the interpolated median, percent favorable and measure of dispersion suitable for ordinal data. An interactive dashboard is currently being developed to assist instructors, as well as administrators, to visualize the reported metrics within context.

This workshop will introduce the new SEI metrics and demonstrate how they support instructors to make sense of the student feedback they receive. Participants will have the opportunity to discuss, in small groups, how to interpret these metrics in instructor reports. The workshop will also explore the ways in which these metrics can be used by teaching and learning specialists to inform conversations with both academic leaders and instructors interested in making sense of student feedback.

Facilitators:

• Abdel Azim Zumrawi, Statistician, Planning & Institutional Research (PAIR) & former Adjunct professor in Forest Resources
• Tizitash Mohammed, , Programmer Analyst, PAIR
• Jovy Eramela, Support Analyst, PAIR
• Gavin Yap, Research Analyst, PAIR
• David Loti, Support Analyst, PAIR