Candidate: Huanyi Chen
Date: December 11, 2023
Time: 1:00 PM - 2:00 PM
Place: EIT 3141
Supervisor(s): Ward, Paul
Abstract:
Beginning with investigation into student behavior data using the auto-grading system Marmoset, we have identified several limitations in current auto-grading systems. These systems primarily serve as build and test environments to run automated test-based assessments. However, they lack support for creating such assessments, leaving the challenging task of developing such assessments to the assessment writers. In this seminar, I will present the methods we have developed to enhance this situation. I will dive into details how our assessments are developed and share our experiences to provide high-quality scalable feedback in a database course.