Shota Kawaguchi, Tadashi Nishikawa, Yoshiki Sato, R. Onuma, H. Nakayama, Shoichi Nakamura, Y. Miyadera
{"title":"Development of a Training Data Creation Support Environment for Estimating Programming Learning Situations","authors":"Shota Kawaguchi, Tadashi Nishikawa, Yoshiki Sato, R. Onuma, H. Nakayama, Shoichi Nakamura, Y. Miyadera","doi":"10.1109/ithet46829.2019.8937339","DOIUrl":null,"url":null,"abstract":"Programming has recently become taught more widely. As teachers often need to correspond with a large number of students, they have difficulty grasping individual student learning situations. Therefore, we previously developed a method to estimate the learning situations of students from the source code editing history that reflects their trial-and-error processes. However, this method burdens the teachers by requiring them to prepare a large amount of training data. In this paper, we present Everest: an exercise environment for programming to reduce the burden of training data creation. In Everest, training data is created through student reflection. As a result, introducing Everest can reduce the data creation burden on teachers.","PeriodicalId":268992,"journal":{"name":"2019 18th International Conference on Information Technology Based Higher Education and Training (ITHET)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 18th International Conference on Information Technology Based Higher Education and Training (ITHET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ithet46829.2019.8937339","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Programming has recently become taught more widely. As teachers often need to correspond with a large number of students, they have difficulty grasping individual student learning situations. Therefore, we previously developed a method to estimate the learning situations of students from the source code editing history that reflects their trial-and-error processes. However, this method burdens the teachers by requiring them to prepare a large amount of training data. In this paper, we present Everest: an exercise environment for programming to reduce the burden of training data creation. In Everest, training data is created through student reflection. As a result, introducing Everest can reduce the data creation burden on teachers.