The Impact of the 5E Learning Cycle Model Based on the STEM Approach on Scientific Attitudes and Science Learning Outcomes

Author:

Wiriani Ni Made Adi,Ardana I Made

Abstract

It was found that students' learning outcomes and scientific attitudes were low. This study aims to analyze Cycle 5E based on the STEM approach to scientific attitudes and science learning outcomes. This research is experimental. The population is 294 students. Methods of collecting data are test and non-test. The instruments used are questionnaire sheets or questionnaires for scientific attitudes and science learning outcomes tests. The technique of analyzing the data is descriptive analysis and inferential statistics. The results of the research are that there are differences in scientific attitudes between students who take part in learning using the 5E Learning Cycle based on the STEM approach and students who use the direct learning model, with a significant level of 0.026. There are differences in science learning outcomes between students who take lessons using Learning Cycle 5E based on the STEM approach and students who use direct learning models, with a significance level of less than 0.000. It was concluded that there were differences in scientific attitudes and science learning outcomes between students who participated in learning using Learning Cycle 5E based on the STEM approach and students who participated in direct learning. This research implies that the 5E learning cycle based on the STEM approach can improve scientific attitudes and science learning outcomes.

Publisher

Universitas Pendidikan Ganesha

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3