{"title":"A Review of Methods To Measure Affective Domain in Learning","authors":"Lusiana Syaiful, Marina Ismail, Z. A. Aziz","doi":"10.1109/ISCAIE.2019.8743903","DOIUrl":null,"url":null,"abstract":"Learning is part of education. The involvement of affective domain in education is very important for holistic learning. Affective domain is part of Bloom’s Taxonomy that consists of five major stages which are attending, receiving, valuing, organization and characterization. Every stage has its own action verb and its own meaning. The study of affective domain has been tackled for over a decade but not much focus on assessing it by level. Affective is very vague and uncertainties as it is more towards attitude, emotion and behavior. Affective is very hard to be predict, challenging and can change rapidly. This study compares several techniques that are possible for assessing affective domain. From the studies, the most used technique to measure affective is fuzzy logic. Fuzzy logic is the technique that able to measure uncertainties and vague values.","PeriodicalId":369098,"journal":{"name":"2019 IEEE 9th Symposium on Computer Applications & Industrial Electronics (ISCAIE)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 9th Symposium on Computer Applications & Industrial Electronics (ISCAIE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCAIE.2019.8743903","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Learning is part of education. The involvement of affective domain in education is very important for holistic learning. Affective domain is part of Bloom’s Taxonomy that consists of five major stages which are attending, receiving, valuing, organization and characterization. Every stage has its own action verb and its own meaning. The study of affective domain has been tackled for over a decade but not much focus on assessing it by level. Affective is very vague and uncertainties as it is more towards attitude, emotion and behavior. Affective is very hard to be predict, challenging and can change rapidly. This study compares several techniques that are possible for assessing affective domain. From the studies, the most used technique to measure affective is fuzzy logic. Fuzzy logic is the technique that able to measure uncertainties and vague values.