{"title":"Learning Analysis as a Tool for Predicting Student Performance","authors":"V. Verhun, A. Batyuk, V. Voityshyn","doi":"10.1109/STC-CSIT.2018.8526741","DOIUrl":null,"url":null,"abstract":"This article describes the perspectives of Education Data Mining process within the concept of predicting student performance. Current capabilities of software systems related to education domain allow to analyze and leverage outcomes of data mining process and machine learning algorithms in order to make decisions and justifications of educational approaches.","PeriodicalId":403793,"journal":{"name":"2018 IEEE 13th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE 13th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/STC-CSIT.2018.8526741","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
This article describes the perspectives of Education Data Mining process within the concept of predicting student performance. Current capabilities of software systems related to education domain allow to analyze and leverage outcomes of data mining process and machine learning algorithms in order to make decisions and justifications of educational approaches.