{"title":"Graduate Attribute Assessment in Computer Engineering Program at University of Ottawa","authors":"A. George, V. Groza, L. Peyton","doi":"10.1109/ICALT.2017.99","DOIUrl":null,"url":null,"abstract":"Canadian Engineering Accreditation Board (CEAB) mandates engineering programs provide an established mechanism for collecting, analyzing and reporting graduate attributes used as part of a process of continuous program improvement. We have established a process supported by an assessment analytical system – Graduate Attribute Information Analysis (GAIA). Although unified across three engineering programs, the tool is tailored to their individual needs. This paper describes how the model was modified and implemented by the computer engineering program at University of Ottawa. We demonstrate the advantages GAIA offers in management, measurement and visualization of graduate attributes. In particular, we demonstrate graduate attribute achievement in the final-year capstone project and elucidate the mechanism behind collection, analysis and reporting of COOP work-term assessment data.","PeriodicalId":134966,"journal":{"name":"2017 IEEE 17th International Conference on Advanced Learning Technologies (ICALT)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE 17th International Conference on Advanced Learning Technologies (ICALT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICALT.2017.99","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Canadian Engineering Accreditation Board (CEAB) mandates engineering programs provide an established mechanism for collecting, analyzing and reporting graduate attributes used as part of a process of continuous program improvement. We have established a process supported by an assessment analytical system – Graduate Attribute Information Analysis (GAIA). Although unified across three engineering programs, the tool is tailored to their individual needs. This paper describes how the model was modified and implemented by the computer engineering program at University of Ottawa. We demonstrate the advantages GAIA offers in management, measurement and visualization of graduate attributes. In particular, we demonstrate graduate attribute achievement in the final-year capstone project and elucidate the mechanism behind collection, analysis and reporting of COOP work-term assessment data.