GRADUATE ATTRIBUTE ASSESSMENT IN SOFTWARE ENGINEERING PROGRAM AT UNIVERSITY OF OTTAWA – CONTINUAL IMPROVEMENT PROCESS

Aneta George, Timothy Lethbridge, Liam Peyton

Abstract


Management, measurement, and visualization of graduate attributes in a program can be complex and challenging. At the University of Ottawa, we have developed a Graduate Attribute Information Analysis system (GAIA) to support performance management of graduate attributes. It simplifies data collection and improves visualization of results with historical trend analysis at both the course level and the program level. Graduate attribute measurements are defined in a tool that can flexibly integrate internal indicators (such as tests, assignments, exam questions) or external indicators (such as surveys or feedback forms). We have mapped the assessment results with a four-scale rubric that allows the use of weighted grading when dominant and secondary components apply. And we support measurement-specific range boundaries to better match the expected level of knowledge students must achieve.

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