以种族为基础的科学学习在训练分析技能方面的有效性

Septi Budi Sartika, N. Efendi, F. Wulandari
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引用次数: 3

摘要

自然科学是一门可以通过各种策略来理解概念的学科,其中之一是通过ethno-STEM,与Sidoarjo当地智慧结合在一起,融合了科学,技术,工程和数学。这个策略是为了练习分析思维能力。本研究的目的是描述基于民族stem的自然科学学习对中学生分析思维能力的训练效果。研究方法采用定量研究型实验,采用一组前测和后测设计,以MTs Muhammadiyah 1 Taman Sidoarjo的八年级学生群体120名学生为样本,八年级B年级学生30名为样本。研究程序包括前测、实施基于民族stem的自然科学学习的治疗和后测。数据分析技术使用描述性统计。结果表明,实施基于民族stem的自然科学学习是有效的,即1)实施平均学习3.7非常好分类,2)学生平均学习相关活动3.6非常好分类,3)学生分析思维技能价值提高0.6中等类别,4)学生对学习的积极反应提高90%。预计进一步的研究将能够比较不同班级之间的待遇,以及其他有助于学习的变量,以便进行更深入的分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Efektivitas Pembelajaran IPA Berbasis Etno-STEM dalam Melatihkan Keterampilan Berpikir Analisis
Natural science is a subject that can be delivered through various strategies in understanding the concept, one of which is through ethno-STEM, with Sidoarjo local wisdom that is packed integrated with science, technology, engineering, and mathematics. This strategy is done to practice analytical thinking skills. The purpose of the study to describe the effectiveness of natural science learning based ethno-STEM to practicing the analytical thinking skills of secondary school students. The research method uses quantitative research type experiments with one group pretest and posttest design, class VIII student population of 120 students with a sample of grade VIII B a number of 30 students in MTs Muhammadiyah 1 Taman Sidoarjo. Research procedures include pretest, treatment by implementing natural science learning based ethno-STEM, and posttest. Data analysis techniques use descriptive statistics. The results showed that the implementation of naturak science learning based ethno-STEM is said to be effective, namely 1) the implementation of average learning 3.7 very well categorized, 2) student activities relevant to the average learning 3.6 categorized very well, 3) there is an increase in the value of analytical thinking skills of students by 0.6 moderate category, and 4) positive student response to learning by 90%. Further research is expected to be able to compare treatment between classes, as well as other variables that contribute to learning so that the analysis will be deeper.
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