Walter Alvarez Grijalba, José Arguedas Castillo, Randall Araya Campos, Paula Estrella
{"title":"Process-Based Assessment of Computer Science Students","authors":"Walter Alvarez Grijalba, José Arguedas Castillo, Randall Araya Campos, Paula Estrella","doi":"10.1109/LACLO.2018.00069","DOIUrl":null,"url":null,"abstract":"Keylogging tools are frequently used to monitor and evaluate writing processes. In this work we propose to use a keylogger to compare advanced and novice computer science students' programming process during experimental sessions. The main goal is to validate if it is possible to estimate how much effort a student requires to solve a specific programming problem. The most significant contributions of this study are: the improvement of an open source keylogging, the implementation of an analysis tool to process and show the collected data in a non-technical way, and the proposal of a new set of indicators for measuring a student's programming effort. The results obtained in the experiments carried out are promising and in many cases confirm the hypotheses.","PeriodicalId":340408,"journal":{"name":"2018 XIII Latin American Conference on Learning Technologies (LACLO)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 XIII Latin American Conference on Learning Technologies (LACLO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/LACLO.2018.00069","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Keylogging tools are frequently used to monitor and evaluate writing processes. In this work we propose to use a keylogger to compare advanced and novice computer science students' programming process during experimental sessions. The main goal is to validate if it is possible to estimate how much effort a student requires to solve a specific programming problem. The most significant contributions of this study are: the improvement of an open source keylogging, the implementation of an analysis tool to process and show the collected data in a non-technical way, and the proposal of a new set of indicators for measuring a student's programming effort. The results obtained in the experiments carried out are promising and in many cases confirm the hypotheses.