The analysis of students metaliteracy under the implementation of RBL-STEM in solving graph rainbow antimagic coloring problems

Author:

Kurniawati E Y,Dafik ,Agustin I H,Maylisa I N

Abstract

Abstract Problem-solving can grow if students are trained to have metaliteracy. Metaliteracy is the ability to think that focuses on critical thinking skills and collaborative efforts. This study aims to determine the impact of the implementation of RBL-STEM to analyze the metaliteracy of students in solving rainbow antimagic coloring problems. The methods used in this study were a combination of quantitative and qualitative methods. This research used two classes, experimental and control. Both classes were given the same treatments with different experiment classes using LKM that have been developed with the RBL model. The analysis of the results of the homogeneity test on the pre-test items showed that the two classes were homogeneous with a significant value is ≥ 0.05, and the results of the independent sample t-test on post test result showed that the sig (2-tailed) value is 0.000 (p ≤ 0.05) so its significant. It can be concluded that the RBL-STEM model can improve the metaliteracy level of the students in solving rainbow antimagic coloring.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Reference14 articles.

1. An instructional design model with the cultivating research-based learning strategies for fostering teacher students’ creative thinking abilities;Khuana;Educational research and reviews,2017

2. On rainbow antimagic coloring of some graphs;Sulistiyono;Journal of Physics: Conference Series ICOPAMBS 2019,2020

3. The analysis of students’ combinatorial thinking skills in solving r-dynamic vertex coloring under the implementation of problem based learning;Septory;Journal of Physics: Conf. Series,2019

4. On rainbow antimagic coloring of some special graphs;Al Jabbar;Journal of Physics Conference Series,2020

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