Subrata Chakraborty, Xujuan Zhou, Abdul Hafeez-Baig, R. Gururajan, M. Paul, Anuradha Mandal, Anila Elizabeth Chacko, P. Barua
{"title":"高等教育中市场偏见的客观分析","authors":"Subrata Chakraborty, Xujuan Zhou, Abdul Hafeez-Baig, R. Gururajan, M. Paul, Anuradha Mandal, Anila Elizabeth Chacko, P. Barua","doi":"10.1109/TALE.2016.7851839","DOIUrl":null,"url":null,"abstract":"Marker bias has been a serious factor contributing to discrepancy in assessments. In this study we analyze one year students' results in a Business Faculty within an Australian university to understand the extent of variation induced by marker bias in multiple marker scenarios. The study shows interesting insights regarding the marking trends of a particular marker, and shows variations among markers in a particular course. The study paves the way for quantification of marker variation through objective analysis.","PeriodicalId":117659,"journal":{"name":"2016 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Objective analysis of marker bias in higher education\",\"authors\":\"Subrata Chakraborty, Xujuan Zhou, Abdul Hafeez-Baig, R. Gururajan, M. Paul, Anuradha Mandal, Anila Elizabeth Chacko, P. Barua\",\"doi\":\"10.1109/TALE.2016.7851839\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Marker bias has been a serious factor contributing to discrepancy in assessments. In this study we analyze one year students' results in a Business Faculty within an Australian university to understand the extent of variation induced by marker bias in multiple marker scenarios. The study shows interesting insights regarding the marking trends of a particular marker, and shows variations among markers in a particular course. The study paves the way for quantification of marker variation through objective analysis.\",\"PeriodicalId\":117659,\"journal\":{\"name\":\"2016 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE)\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TALE.2016.7851839\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TALE.2016.7851839","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Objective analysis of marker bias in higher education
Marker bias has been a serious factor contributing to discrepancy in assessments. In this study we analyze one year students' results in a Business Faculty within an Australian university to understand the extent of variation induced by marker bias in multiple marker scenarios. The study shows interesting insights regarding the marking trends of a particular marker, and shows variations among markers in a particular course. The study paves the way for quantification of marker variation through objective analysis.