{"title":"使用 UGVA 方法为课程开发提供可视化决策支持","authors":"V. A. Uglev","doi":"10.3103/s0147688223060163","DOIUrl":null,"url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Abstract</h3><p>This article presents an approach to comparing, evaluating, and improving curricula and provides a model of the parameterization of the curriculum with respect to key professional skills. To provide data concentration and analysis, we have used the method of unified graphic visualization of activity (UGVA method). We describe the results of the analysis of 36 curricula for the Russian academic speciality System Analysis and Control. The images created using the described method allowed us to summarize evaluation data for curricula, identifying differences across teaching students and best practices. After comparing the selected curriculum with others in UGVA notation, we developed recommendations for changing the curriculum structures regarding courses that developed key professional skills. General recommendations on the use of the method in decision-making are given.</p>","PeriodicalId":43962,"journal":{"name":"Scientific and Technical Information Processing","volume":"62 1","pages":""},"PeriodicalIF":0.4000,"publicationDate":"2024-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Visual Decision Support for Curriculum Development Using the UGVA Method\",\"authors\":\"V. A. Uglev\",\"doi\":\"10.3103/s0147688223060163\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<h3 data-test=\\\"abstract-sub-heading\\\">Abstract</h3><p>This article presents an approach to comparing, evaluating, and improving curricula and provides a model of the parameterization of the curriculum with respect to key professional skills. To provide data concentration and analysis, we have used the method of unified graphic visualization of activity (UGVA method). We describe the results of the analysis of 36 curricula for the Russian academic speciality System Analysis and Control. The images created using the described method allowed us to summarize evaluation data for curricula, identifying differences across teaching students and best practices. After comparing the selected curriculum with others in UGVA notation, we developed recommendations for changing the curriculum structures regarding courses that developed key professional skills. General recommendations on the use of the method in decision-making are given.</p>\",\"PeriodicalId\":43962,\"journal\":{\"name\":\"Scientific and Technical Information Processing\",\"volume\":\"62 1\",\"pages\":\"\"},\"PeriodicalIF\":0.4000,\"publicationDate\":\"2024-03-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Scientific and Technical Information Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3103/s0147688223060163\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"INFORMATION SCIENCE & LIBRARY SCIENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Scientific and Technical Information Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3103/s0147688223060163","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}
Visual Decision Support for Curriculum Development Using the UGVA Method
Abstract
This article presents an approach to comparing, evaluating, and improving curricula and provides a model of the parameterization of the curriculum with respect to key professional skills. To provide data concentration and analysis, we have used the method of unified graphic visualization of activity (UGVA method). We describe the results of the analysis of 36 curricula for the Russian academic speciality System Analysis and Control. The images created using the described method allowed us to summarize evaluation data for curricula, identifying differences across teaching students and best practices. After comparing the selected curriculum with others in UGVA notation, we developed recommendations for changing the curriculum structures regarding courses that developed key professional skills. General recommendations on the use of the method in decision-making are given.
期刊介绍：
Scientific and Technical Information Processing is a refereed journal that covers all aspects of management and use of information technology in libraries and archives, information centres, and the information industry in general. Emphasis is on practical applications of new technologies and techniques for information analysis and processing.
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