High-order thinking skill in contextual teaching and learning of mathematics based on lesson study for learning community

Author:

. Hobri,Septiawati Ice,Cahya Prihandoko Antonius

Abstract

This research aimed to develop Mathematics instructional instruments by using Contextual Teaching and Learning (CTL) Based on Lesson Study for Learning Community (LSLC) on “Sequence and Series” Learning Material for the tenth grade students of vocational school as well as to know its effect on the students’ high-order thinking skill. The method used is mixed methods with concurrent triangulation strategy model namely research and development method with Thiagarajan model combined with quantitative method using non equivalent control group design quasi experimental pretest-posttest. The research subjects were the students of SMKN 1 Panji of Situbondo regency, from which two classes were chosen as research sample, class X Accounting 2 as the control class and class X Accounting 3 as the ex-perimental class. High-order thinking skill is measured by using essay test. Assumption test of normality and homogeneity of variance was tested before analyzing the data. The result of the first test showed that the data were not normally distributed. Therefore, the data were ana-lyzed by using Mann-Whitney analysis. The research results showed that: (1) the instructional instruments resulted is valid, the implementa-tion of the instructional instruments is in practical and effective; (2) the significance value (2-tailed) is 0.000 (p < 0.05), which indicated that the application of learning by using CTL Based on LSLC had a significant effect on the students’ high-order thinking skill.  

Publisher

Science Publishing Corporation

Subject

Hardware and Architecture,General Engineering,General Chemical Engineering,Environmental Engineering,Computer Science (miscellaneous),Biotechnology

Cited by 32 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