{"title":"Effective Ways to Pass Exams in Programming Disciplines and Optimize the Process of Analyzing Results. Case Study: Suleyman Demirel University","authors":"Ualikhan Sadyk, Zhasdauren Duisebekov, Nauryzbay Sapargali, Altynbek Amirzhanov","doi":"10.1109/icecco53203.2021.9663777","DOIUrl":null,"url":null,"abstract":"The article identifies effective ways to pass exams in programming disciplines and how to optimize the process of analyzing results. Also we discussed a list of the problems that we may faced during the exam and their solutions(proposed method). The main part of our project was divided into 4 stages: Analysis of exam results using Google Sheets, Writing a special script(program) that automatically loads images, Detection of plagiarism manifestations using the principles of computer vision, Facial recognition using machine learning algorithms.","PeriodicalId":331369,"journal":{"name":"2021 16th International Conference on Electronics Computer and Computation (ICECCO)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 16th International Conference on Electronics Computer and Computation (ICECCO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/icecco53203.2021.9663777","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
The article identifies effective ways to pass exams in programming disciplines and how to optimize the process of analyzing results. Also we discussed a list of the problems that we may faced during the exam and their solutions(proposed method). The main part of our project was divided into 4 stages: Analysis of exam results using Google Sheets, Writing a special script(program) that automatically loads images, Detection of plagiarism manifestations using the principles of computer vision, Facial recognition using machine learning algorithms.