Pierre McCauley, Brandon Nsiah-Ababio, J. Reed, Faramola Isiaka, Tao Xie
{"title":"Preliminary analysis of code hunt data set from a contest","authors":"Pierre McCauley, Brandon Nsiah-Ababio, J. Reed, Faramola Isiaka, Tao Xie","doi":"10.1145/2993270.2993272","DOIUrl":"https://doi.org/10.1145/2993270.2993272","url":null,"abstract":"Code Hunt (https://www.codehunt.com/) from Microsoft Research is a web-based serious gaming platform being popularly used for various programming contests. In this paper, we demonstrate preliminary statistical analysis of a Code Hunt data set that contains the programs written by students (only) worldwide during a contest over 48 hours. There are 259 users, 24 puzzles (organized into 4 sectors), and about 13,000 programs submitted by these users. Our analysis results can help improve the creation of puzzles in a future contest.","PeriodicalId":147707,"journal":{"name":"Proceedings of the 2nd International Code Hunt Workshop on Educational Software Engineering","volume":"226 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116379183","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Automatic programming error class identification with code plagiarism-based clustering","authors":"Sébastien Combéfis, A. Schils","doi":"10.1145/2993270.2993271","DOIUrl":"https://doi.org/10.1145/2993270.2993271","url":null,"abstract":"Online platforms to learn programming are very popular nowadays. These platforms must automatically assess codes submitted by the learners and must provide good quality feedbacks in order to support their learning. Classical techniques to produce useful feedbacks include using unit testing frameworks to perform systematic functional tests of the submitted codes or using code quality assessment tools. This paper explores how to automatically identify error classes by clustering a set of submitted codes, using code plagiarism detection tools to measure the similarity between the codes. The proposed approach and analysis framework are presented in the paper, along with a first experiment using the Code Hunt dataset.","PeriodicalId":147707,"journal":{"name":"Proceedings of the 2nd International Code Hunt Workshop on Educational Software Engineering","volume":"160 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122862385","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Proceedings of the 2nd International Code Hunt Workshop on Educational Software Engineering","authors":"Chang Liu, Rishabh Singh","doi":"10.1145/2993270","DOIUrl":"https://doi.org/10.1145/2993270","url":null,"abstract":"","PeriodicalId":147707,"journal":{"name":"Proceedings of the 2nd International Code Hunt Workshop on Educational Software Engineering","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121201161","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}