{"title":"教育的分析。一种提高教育质量的新方法","authors":"D. Oskin, A. Oskin","doi":"10.29003/M1848.978-5-317-06529-4/454-461","DOIUrl":null,"url":null,"abstract":"This article describes the trends in online education caused by the COVID-19 pandemic. The introduction of learning analytics into the educational process is substantiated. The main methods and tools of educational analytics are considered. Using a specific example, we will understand the construction and assessment of a student classification model using the high-level programming language Python.","PeriodicalId":13026,"journal":{"name":"Historical research in the context of data science: Information resources, analytical methods and digital technologies","volume":"24 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Educational analytics. A new approach to improving the quality of the educational process\",\"authors\":\"D. Oskin, A. Oskin\",\"doi\":\"10.29003/M1848.978-5-317-06529-4/454-461\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article describes the trends in online education caused by the COVID-19 pandemic. The introduction of learning analytics into the educational process is substantiated. The main methods and tools of educational analytics are considered. Using a specific example, we will understand the construction and assessment of a student classification model using the high-level programming language Python.\",\"PeriodicalId\":13026,\"journal\":{\"name\":\"Historical research in the context of data science: Information resources, analytical methods and digital technologies\",\"volume\":\"24 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-12-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Historical research in the context of data science: Information resources, analytical methods and digital technologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.29003/M1848.978-5-317-06529-4/454-461\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Historical research in the context of data science: Information resources, analytical methods and digital technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.29003/M1848.978-5-317-06529-4/454-461","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Educational analytics. A new approach to improving the quality of the educational process
This article describes the trends in online education caused by the COVID-19 pandemic. The introduction of learning analytics into the educational process is substantiated. The main methods and tools of educational analytics are considered. Using a specific example, we will understand the construction and assessment of a student classification model using the high-level programming language Python.