A Review of Methods To Measure Affective Domain in Learning

Lusiana Syaiful, Marina Ismail, Z. A. Aziz
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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.
学习情感域测量方法综述
学习是教育的一部分。情感域在教育中的介入对于整体学习是非常重要的。情感领域是Bloom分类法的一部分,该分类法由五个主要阶段组成,即参与、接受、重视、组织和表征。每个阶段都有自己的动作动词和含义。情感领域的研究已经进行了十多年,但对其层次评价的关注并不多。情感是非常模糊和不确定的,因为它更倾向于态度、情感和行为。情感是很难预测的,具有挑战性,可以迅速改变。本研究比较了几种可能用于评估情感领域的技术。从研究来看,最常用的情感度量方法是模糊逻辑。模糊逻辑是一种能够测量不确定性和模糊值的技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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