印度尼西亚 Sekolah Siaga Kependudukan 学校的学生统计素养初步研究:系统文献综述

Palupi Sri Wijayanti, Dadang Juandi
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引用次数: 0

摘要

本研究旨在分析有关 Sekolah Siaga Kependudukan (SSK) 统计素养技能的研究。统计素养技能是数学素养技能的一部分,是对学生数学能力的评估。所采用的方法是对2018-2023年间Scopus、Sinta、Google Scholar、Semantic和ERIC收录的所有研究文章进行系统文献综述(SLR)。搜索策略根据选择标准进行了调整。它采用了PRISMA协议,研究特征包括教育水平、发表年份、研究方法、样本量、期刊索引者和研究地点。本研究的数据分析以定量描述性方式进行。这项 SLR 研究的结果表明,在过去五年中,与学生统计素养技能相关的研究相对呈上升趋势。已发表的研究数据库和 SLR 研究成果显示,大多数期刊索引都是 Q2 级 Scopus,并且以定性研究为主。由于 Sekolah Siaga Kependudukan 仅存在于印度尼西亚,因此大多数研究地点都在印度尼西亚进行。进一步的研究建议可以将统计研究和学习与合作模块和学生活动结合起来,从而提高学生在解释、交流、评估和做出基于数据的决策等方面的统计素养技能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Student Statistical Literacy as An Initial Study for Sekolah Siaga Kependudukan in Indonesia : A Systematic Literature Review
This study aims to analyze studies on statistical literacy skills in Sekolah Siaga Kependudukan (SSK). Statistical literacy skill is part of mathematical literacy skill which is an assessment of students' mathematical abilities. The method used was a Systematic Literature Review (SLR) of all research articles indexed in Scopus, Sinta, Google Scholar, Semantic, and ERIC in the period 2018-2023. The search strategy was adjusted to the selection criteria. It used the PRISMA protocol with study characteristics such as education level, year of publication, research method, sample size, journal indexer, and research location. Data analysis of this study was conducted in a quantitative descriptive manner. The results of this SLR study stated that research related to students' statistical literacy skills has relatively increased research trends over the past five years. The research database that has been published and is the result of SLR research shows that most journal indexers are Q2 rank Scopus and are dominated by qualitative research. The majority of research locations were carried out in Indonesia in accordance with the existence of the Sekolah Siaga Kependudukan, which only exists in Indonesia. Further research recommendations can accommodate statistical research and learning with collaborative modules and student activities so as to improve aspects of statistical literacy skills in the form of interpreting, communicating, evaluating, and making data-based decisions.
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