Open AccessGRADUATE ATTRIBUTE ASSESSMENT IN SOFTWARE ENGINEERING PROGRAM AT UNIVERSITY OF OTTAWA – CONTINUAL IMPROVEMENT PROCESS
Author(s) -
Aneta George,
Timothy C. Lethbridge,
Liam Peyton
Publication year - 2017
Publication title -
proceedings of the ... ceea conference
Language(s) - English
Resource type - Journals
ISSN - 2371-5243
DOI - 10.24908/pceea.v0i0.6484
Subject(s) - rubric , grading (engineering) , visualization , computer science , process (computing) , software engineering , scale (ratio) , graduate students , software , data science , engineering management , data mining , engineering , mathematics education , civil engineering , cartography , programming language , medical education , psychology , medicine , geography
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.