{"title":"迈向评估分析指标的分类","authors":"Dirk Ifenthaler, Joana Heil, Samuel Greiff","doi":"10.59453/cctb2003","DOIUrl":null,"url":null,"abstract":"Recent advancements in assessment analytics provide potential to support learning processes and provide them with relevant informative feedback when needed. Yet, few well-defined indications yield valid data points for assessment analytics. The categorization of indicators that is presented here is designed to provide insights into the possible approaches to assessment and the meaningful connection to assessment analytics. Ethics, social responsibility, privacy, and data protection must be fully respected when following the categorization of indicators for assessment analytics.","PeriodicalId":430337,"journal":{"name":"Journal of Learning Letters","volume":"8 1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Toward a Categorization of Indicators for Assessment Analytics\",\"authors\":\"Dirk Ifenthaler, Joana Heil, Samuel Greiff\",\"doi\":\"10.59453/cctb2003\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Recent advancements in assessment analytics provide potential to support learning processes and provide them with relevant informative feedback when needed. Yet, few well-defined indications yield valid data points for assessment analytics. The categorization of indicators that is presented here is designed to provide insights into the possible approaches to assessment and the meaningful connection to assessment analytics. Ethics, social responsibility, privacy, and data protection must be fully respected when following the categorization of indicators for assessment analytics.\",\"PeriodicalId\":430337,\"journal\":{\"name\":\"Journal of Learning Letters\",\"volume\":\"8 1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Learning Letters\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.59453/cctb2003\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Learning Letters","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.59453/cctb2003","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Toward a Categorization of Indicators for Assessment Analytics
Recent advancements in assessment analytics provide potential to support learning processes and provide them with relevant informative feedback when needed. Yet, few well-defined indications yield valid data points for assessment analytics. The categorization of indicators that is presented here is designed to provide insights into the possible approaches to assessment and the meaningful connection to assessment analytics. Ethics, social responsibility, privacy, and data protection must be fully respected when following the categorization of indicators for assessment analytics.