A Proposal for Enhancing Students’ Evaluations through an Adaptive and Progressive Digital Feedback System

Abstract

Students enrolled in a course are asked to complete an anonymous Student Evaluation Survey (SES) towards the end of the term that will provide the university with student feedback. The aim of the SES is to collect and use student feedback to enhance the overall design, delivery and outcomes as part course quality and enhancement processes. However, this traditional SES model is not without limitations. It has been observed that there has been a decline in response rate of SESs across universities risking insufficient sample sizes for meaningful and valid analysis. This coupled with their infrequent deployment, limited duration and inability to capture informal, time-sensitive feedback suggests that exploration into new ways of facilitating surveys is necessary. In this paper we present a work-in-progress collaborative project that proposes to augment traditional SES methods in a way that responds to the afore mentioned limitations, reimagining SESs to include regular informal weekly engagement with students.