{"title":"用于评估群体形成的度量框架","authors":"A. Ounnas, D. Millard, H. Davis","doi":"10.1145/1316624.1316656","DOIUrl":null,"url":null,"abstract":"Many approaches to learning and teaching rely upon students working in groups. So far, many Computer-Supported Group Formation systems have been designed to facilitate the formation of optimal groups in learning. However, evaluating the quality of automated group formation is not always well reported. In this paper we propose a metrics framework for evaluating group formation based upon a model for constraint satisfaction-based group formation.","PeriodicalId":445069,"journal":{"name":"Proceedings of the 2007 ACM International Conference on Supporting Group Work","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"27","resultStr":"{\"title\":\"A metrics framework for evaluating group formation\",\"authors\":\"A. Ounnas, D. Millard, H. Davis\",\"doi\":\"10.1145/1316624.1316656\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Many approaches to learning and teaching rely upon students working in groups. So far, many Computer-Supported Group Formation systems have been designed to facilitate the formation of optimal groups in learning. However, evaluating the quality of automated group formation is not always well reported. In this paper we propose a metrics framework for evaluating group formation based upon a model for constraint satisfaction-based group formation.\",\"PeriodicalId\":445069,\"journal\":{\"name\":\"Proceedings of the 2007 ACM International Conference on Supporting Group Work\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-11-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"27\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2007 ACM International Conference on Supporting Group Work\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1316624.1316656\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2007 ACM International Conference on Supporting Group Work","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1316624.1316656","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A metrics framework for evaluating group formation
Many approaches to learning and teaching rely upon students working in groups. So far, many Computer-Supported Group Formation systems have been designed to facilitate the formation of optimal groups in learning. However, evaluating the quality of automated group formation is not always well reported. In this paper we propose a metrics framework for evaluating group formation based upon a model for constraint satisfaction-based group formation.