{"title":"AI Based Plagiarism Checking : Ease of use and appli7cable system for teachers to find similarities in students’ assessments","authors":"G. Molnár, Cserkó József","doi":"10.1109/CANDO-EPE57516.2022.10046379","DOIUrl":null,"url":null,"abstract":"One of education’s most challenging tasks is accurately assessing student performance. Unfortunately, even nowadays, assessment is mainly done manually, with teachers manually correcting submitted work, essays, and dissertations. There is plagiarism checking services and algorithms, but these search for matches in theses and publications on the Internet, so they need to be more suitable for facilitating teachers’ daily work. In this paper, we present a self-developed plagiarism screening application that can find duplicates in students’ submitted work. The tool performs simple text comparison and syntactic and semantic checking. We also created an easy-to-use online interface where users can easily create and run projects.","PeriodicalId":127258,"journal":{"name":"2022 IEEE 5th International Conference and Workshop Óbuda on Electrical and Power Engineering (CANDO-EPE)","volume":"141 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 5th International Conference and Workshop Óbuda on Electrical and Power Engineering (CANDO-EPE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CANDO-EPE57516.2022.10046379","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
One of education’s most challenging tasks is accurately assessing student performance. Unfortunately, even nowadays, assessment is mainly done manually, with teachers manually correcting submitted work, essays, and dissertations. There is plagiarism checking services and algorithms, but these search for matches in theses and publications on the Internet, so they need to be more suitable for facilitating teachers’ daily work. In this paper, we present a self-developed plagiarism screening application that can find duplicates in students’ submitted work. The tool performs simple text comparison and syntactic and semantic checking. We also created an easy-to-use online interface where users can easily create and run projects.