{"title":"更好地支持本科软件工程团队","authors":"Kai Presler-Marshall","doi":"10.1145/3446871.3469773","DOIUrl":null,"url":null,"abstract":"Team-based projects are increasingly used within software engineering education because they can teach valuable communication and collaboration skills to help prepare students for professional software engineering positions. However, team-based projects are not without their downsides: in particular, poor communication or a lack of participation can endanger the success of the project. We propose identifying metrics and building a predictive model to help instructors detect when teams are facing harmful dynamics, and evaluations to assess the metrics and their impact on teams in undergraduate software engineering courses.","PeriodicalId":309835,"journal":{"name":"Proceedings of the 17th ACM Conference on International Computing Education Research","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Towards Better Support for Undergraduate Software Engineering Teams\",\"authors\":\"Kai Presler-Marshall\",\"doi\":\"10.1145/3446871.3469773\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Team-based projects are increasingly used within software engineering education because they can teach valuable communication and collaboration skills to help prepare students for professional software engineering positions. However, team-based projects are not without their downsides: in particular, poor communication or a lack of participation can endanger the success of the project. We propose identifying metrics and building a predictive model to help instructors detect when teams are facing harmful dynamics, and evaluations to assess the metrics and their impact on teams in undergraduate software engineering courses.\",\"PeriodicalId\":309835,\"journal\":{\"name\":\"Proceedings of the 17th ACM Conference on International Computing Education Research\",\"volume\":\"48 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-08-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 17th ACM Conference on International Computing Education Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3446871.3469773\",\"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 17th ACM Conference on International Computing Education Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3446871.3469773","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Towards Better Support for Undergraduate Software Engineering Teams
Team-based projects are increasingly used within software engineering education because they can teach valuable communication and collaboration skills to help prepare students for professional software engineering positions. However, team-based projects are not without their downsides: in particular, poor communication or a lack of participation can endanger the success of the project. We propose identifying metrics and building a predictive model to help instructors detect when teams are facing harmful dynamics, and evaluations to assess the metrics and their impact on teams in undergraduate software engineering courses.