文章基本信息

标题：An Analysis of Problem Solving Ability using mathematical modeling strategies in Brain-Based Learning
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作者：Alif Aulia Rahman ; Iqbal Kharisudin
期刊名称：Unnes Journal of Mathematics Education
印刷版ISSN：2252-6927
出版年度：2019
卷号：8
期号：3
页码：173-180
DOI：10.15294/ujme.v8i3.32218
语种：English
出版社：Universitas Negeri Semarang
摘要：Problem-solving ability learning (PSA) is a fundamental problem that needs to be developed in learning mathematics at school.In this research mathematical modeling strategies (MMS) are developed for problem solving.This study aims to investigate how the implementation of MMS for problem-solving in mathematics learning.This study was conducted at SMP Negeri 34 Semarang.This research used sequential explanatory design.The quantitative research design is a quasi experimental design with the nonequivalent posttest-only control group design.Data collection techniques used in this study are documentation,tests,scale,interview,and observation,then processed with a classical completeness test,t-test,and proportion test.The results of this study indicate that (1) PSA on the application of mathematical modelling strategies on Brain-Based Learning (BBL) has achieved classical mastery learning;(2) the PSA of the experimental class by applying mathematical modeling strategies to Brain-Based Learning is better than the control class that uses the Problem Based Learning;and (3) two subjects with high category self-efficacy (SE) have high PSA,two SE subjects are categorized having middle PSA,and two low SE subjects have a low PSA.
关键词：Problem Solving Ability;Mathematical Modeling Strategies;Brain-Based Learning;Self-Efficacy