用击键动力学检测在线编程课中的合同作弊者

Proceedings of the Seventh ACM Conference on Learning @ Scale Pub Date : 2020-08-12 DOI:10.1145/3386527.3406726

Jeongmin Byun, Jungkook Park, Alice H. Oh

{"title":"用击键动力学检测在线编程课中的合同作弊者","authors":"Jeongmin Byun, Jungkook Park, Alice H. Oh","doi":"10.1145/3386527.3406726","DOIUrl":null,"url":null,"abstract":"In online programming classes, it is tricky to uphold academic honesty in the assessment process. A common approach, plagiarism detection, is not accurate for novice programmers and ineffective for detecting contract cheaters. We present a new approach, cheating detection with keystroke dynamics in programming classes, and evaluated the approach.","PeriodicalId":20608,"journal":{"name":"Proceedings of the Seventh ACM Conference on Learning @ Scale","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Detecting Contract Cheaters in Online Programming Classes with Keystroke Dynamics\",\"authors\":\"Jeongmin Byun, Jungkook Park, Alice H. Oh\",\"doi\":\"10.1145/3386527.3406726\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In online programming classes, it is tricky to uphold academic honesty in the assessment process. A common approach, plagiarism detection, is not accurate for novice programmers and ineffective for detecting contract cheaters. We present a new approach, cheating detection with keystroke dynamics in programming classes, and evaluated the approach.\",\"PeriodicalId\":20608,\"journal\":{\"name\":\"Proceedings of the Seventh ACM Conference on Learning @ Scale\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-08-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Seventh ACM Conference on Learning @ Scale\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3386527.3406726\",\"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 Seventh ACM Conference on Learning @ Scale","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3386527.3406726","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 5

摘要

在在线编程课程中，在评估过程中保持学术诚信是一件棘手的事情。一种常见的方法，抄袭检测，对于新手程序员来说是不准确的，对于检测合同作弊者来说是无效的。我们提出了一种新的方法，在编程课程中使用击键动力学进行作弊检测，并对该方法进行了评估。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Detecting Contract Cheaters in Online Programming Classes with Keystroke Dynamics

In online programming classes, it is tricky to uphold academic honesty in the assessment process. A common approach, plagiarism detection, is not accurate for novice programmers and ineffective for detecting contract cheaters. We present a new approach, cheating detection with keystroke dynamics in programming classes, and evaluated the approach.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Proceedings of the Seventh ACM Conference on Learning @ Scale

自引率

0.00%

发文量