{"title":"测量学生在编程任务上的表现","authors":"Tomáš Effenberger, Radek Pelánek","doi":"10.1145/3330430.3333639","DOIUrl":null,"url":null,"abstract":"Large scale learning systems for introductory programming need to be able to automatically assess the quality of students' performance on programming tasks. This assessment is done using a performance measure, which provides feedback to students and teachers, and an input to the domain, student and tutor models. The choice of a good performance measure is nontrivial, since the performance of students can be measured in many ways, and the design of measure can interact with the adaptive features of a learning system or imperfections in the used domain model. We discuss the important design decisions and illustrate the process of an iterative design and evaluation of a performance measure in a case study.","PeriodicalId":20693,"journal":{"name":"Proceedings of the Sixth (2019) ACM Conference on Learning @ Scale","volume":"211 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Measuring Students' Performance on Programming Tasks\",\"authors\":\"Tomáš Effenberger, Radek Pelánek\",\"doi\":\"10.1145/3330430.3333639\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Large scale learning systems for introductory programming need to be able to automatically assess the quality of students' performance on programming tasks. This assessment is done using a performance measure, which provides feedback to students and teachers, and an input to the domain, student and tutor models. The choice of a good performance measure is nontrivial, since the performance of students can be measured in many ways, and the design of measure can interact with the adaptive features of a learning system or imperfections in the used domain model. We discuss the important design decisions and illustrate the process of an iterative design and evaluation of a performance measure in a case study.\",\"PeriodicalId\":20693,\"journal\":{\"name\":\"Proceedings of the Sixth (2019) ACM Conference on Learning @ Scale\",\"volume\":\"211 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-06-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Sixth (2019) ACM Conference on Learning @ Scale\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3330430.3333639\",\"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 Sixth (2019) ACM Conference on Learning @ Scale","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3330430.3333639","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Measuring Students' Performance on Programming Tasks
Large scale learning systems for introductory programming need to be able to automatically assess the quality of students' performance on programming tasks. This assessment is done using a performance measure, which provides feedback to students and teachers, and an input to the domain, student and tutor models. The choice of a good performance measure is nontrivial, since the performance of students can be measured in many ways, and the design of measure can interact with the adaptive features of a learning system or imperfections in the used domain model. We discuss the important design decisions and illustrate the process of an iterative design and evaluation of a performance measure in a case study.