Enhancing Students’ Logical-Thinking Ability in Natural Science Learning with Generative Learning Model

Author:

Riyanti Henni,Suciati Suciati,Karyanto Puguh

Abstract

The logical-thinking ability is one of the important competencies of 21st century that should be empowered. It is one of the aspects in a cognitive science domain that has not been implemented effectively in teaching and learning in the class. Then, this study aimed to analyzed the influence of generative learning model to enhance students' logical-thinking ability. This study was also conducted by using a quasi-experimental study with pretest-posttest non-equivalent control group design. The sample was chosen by using simple random sampling technique. This study involved two classes which had 67 participants consisting of 34 students in Class VIII.9 as an experimental group and 33 students in Class VIII.7 as a control group. The researcher used the instrument of logical-thinking ability formulated in the form of multiple choice tests with five alternative answers that had been tested for its validity and reliability. The analysis of data employed t-test using SPSS 21. The result indicated that the t-count > t-table (2.44 > 1.99) and p-value = 0.017 (p <0.05). It could be concluded that the application of generative learning model resulted in a significant influence on students' logical-thinking ability. The result of the analysis could be used by the schools for evaluating the quality of natural science learning in order to encourage students’ logical-thinking ability.

Publisher

Universitas Negeri Semarang

Subject

General Medicine

Cited by 3 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