{"title":"量化学生斗争使用热图和击键数据","authors":"Gordon Fjeldsted, John Edwards","doi":"10.1109/ietc54973.2022.9796894","DOIUrl":null,"url":null,"abstract":"Understanding and measuring the work a student has put into a homework assignment is a metric that is not easy to calculate. This is because the output of a student’s work is not necessarily the sum of their efforts as lots of effort is lost along the way when coding. In this paper we attempt to demonstrate the effort a student puts into their homework through the creation of a novel algorithm based around keystroke data. With this algorithm we pass the results from the algorithm to a heat map generator to help show where a student is spending most of their time working on their code.","PeriodicalId":251518,"journal":{"name":"2022 Intermountain Engineering, Technology and Computing (IETC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Quantifying Student Struggles using Heatmaps and Keystroke Data\",\"authors\":\"Gordon Fjeldsted, John Edwards\",\"doi\":\"10.1109/ietc54973.2022.9796894\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Understanding and measuring the work a student has put into a homework assignment is a metric that is not easy to calculate. This is because the output of a student’s work is not necessarily the sum of their efforts as lots of effort is lost along the way when coding. In this paper we attempt to demonstrate the effort a student puts into their homework through the creation of a novel algorithm based around keystroke data. With this algorithm we pass the results from the algorithm to a heat map generator to help show where a student is spending most of their time working on their code.\",\"PeriodicalId\":251518,\"journal\":{\"name\":\"2022 Intermountain Engineering, Technology and Computing (IETC)\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 Intermountain Engineering, Technology and Computing (IETC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ietc54973.2022.9796894\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 Intermountain Engineering, Technology and Computing (IETC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ietc54973.2022.9796894","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Quantifying Student Struggles using Heatmaps and Keystroke Data
Understanding and measuring the work a student has put into a homework assignment is a metric that is not easy to calculate. This is because the output of a student’s work is not necessarily the sum of their efforts as lots of effort is lost along the way when coding. In this paper we attempt to demonstrate the effort a student puts into their homework through the creation of a novel algorithm based around keystroke data. With this algorithm we pass the results from the algorithm to a heat map generator to help show where a student is spending most of their time working on their code.