期刊名称：Proceedings of the Canadian Engineering Education Association
出版年度：2017
出版社：The Canadian Engineering Education Association (CEEA)
摘要：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.
