基于Rme学习自我效能感的Pisa数学素养诊断性评价结果分析

Khaerunisak Khaerunisak, Kartono Kartono, I. Hidayah, A. Fahmi
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引用次数: 9

摘要

本研究旨在用一种有效的科学方法来测试RME学习,以提高数学素养和自我效能,概述具有高、中、低自我效能的数学素养诊断评估结果,以及学生在用科学方法学习RME时的困难。本研究采用混合方法同时嵌入研究对象为学生八班。研究从数学素养诊断评估和自我效能感量表开始,然后在实验班进行RME学习,在对照班进行常规学习。进行定量分析以检验学习的有效性,并将访谈作为定性分析进行深化。以科学有效的方法学习RME的显著特点是取得了经典完整性、学生数学素养的比例、自我效能感以及研究生数学素养的差异对RME学习的影响优于传统学习。学生数学素养诊断评估结果符合自我效能感学生的标准,但中等数学素养的学生具有较高的自我效能感。学生在RME学习中的困难采用科学的方法是基于数学素养诊断评估的结果,即语言技能问题、理解能力、创造策略和创造算法。
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The Analysis of Diagnostic Assesment Result in Pisa Mathematical Literacy Based on Students Self-efficacy in Rme Learning
This research aimed to test RME learning with an effective scientific approach to improving mathematical literacy and self-efficacy, obtaining an overview of the mathematical literacy diagnostic assessment results that has high, medium and low self-efficacy as well as student difficulties in learning RME with a scientific approach. This research using mix method concurrent embedded with the subject of research is students class VIII. The research begins with a mathematical literacy diagnostic assessment and self-efficacy inventory then performed RME learning in experimental class and conventional learning in control class. Quantitative analysis was conducted to test the effectiveness of learning and deepened with the interview as a qualitative analysis. Learning RME with a scientific approach effective is marked by the achievement of classical completeness, the proportion of students' mathematical literacy, self-efficacy and the difference in pre-post students’ mathematical literacy on RME learning better than conventional learning. The results of students’ mathematical literacy diagnostic assessment fit the criteria of self-efficacy students except for medium mathematical literacy that having high self-efficacy. Student difficulties in RME learning with the scientific approach are based on the results of mathematical literacy diagnostic assessment, namely language skills problem, the capacity to understand, create strategies, and create the algorithm.
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来源期刊
CiteScore
2.30
自引率
0.00%
发文量
26
审稿时长
10 weeks
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