{"title":"运用模糊逻辑分析医学教育的学习效果","authors":"J. Stańdo, Iwona Mokwa-Tarnowska, M. Roszak","doi":"10.2478/slgr-2021-0036","DOIUrl":null,"url":null,"abstract":"Abstract The national curricula of the EU member states are structured around learning outcomes, selected according to Bloom’s Taxonomy. The authors of this paper claim that using Bloom’s Taxonomy to phrase learning outcomes in medical education in terms of students’ achievements is difficult and unclear. This paper presents an efficient method of assessing course learning outcomes using Fuzzy Logic.","PeriodicalId":38574,"journal":{"name":"Studies in Logic, Grammar and Rhetoric","volume":"66 1","pages":"609 - 616"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Analysis of Learning Outcomes in Medical Education with the Use of Fuzzy Logic\",\"authors\":\"J. Stańdo, Iwona Mokwa-Tarnowska, M. Roszak\",\"doi\":\"10.2478/slgr-2021-0036\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract The national curricula of the EU member states are structured around learning outcomes, selected according to Bloom’s Taxonomy. The authors of this paper claim that using Bloom’s Taxonomy to phrase learning outcomes in medical education in terms of students’ achievements is difficult and unclear. This paper presents an efficient method of assessing course learning outcomes using Fuzzy Logic.\",\"PeriodicalId\":38574,\"journal\":{\"name\":\"Studies in Logic, Grammar and Rhetoric\",\"volume\":\"66 1\",\"pages\":\"609 - 616\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Studies in Logic, Grammar and Rhetoric\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2478/slgr-2021-0036\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Arts and Humanities\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Studies in Logic, Grammar and Rhetoric","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2478/slgr-2021-0036","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Arts and Humanities","Score":null,"Total":0}
Analysis of Learning Outcomes in Medical Education with the Use of Fuzzy Logic
Abstract The national curricula of the EU member states are structured around learning outcomes, selected according to Bloom’s Taxonomy. The authors of this paper claim that using Bloom’s Taxonomy to phrase learning outcomes in medical education in terms of students’ achievements is difficult and unclear. This paper presents an efficient method of assessing course learning outcomes using Fuzzy Logic.