基于民族科学的科学环境技术学会(SETS)学习模式在学习物理和生物中的作用

Gunaria Siagian, Tomi Apra Santosa, Festiyed Festiyed, Yerimadesi Yerimadesi
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引用次数: 0

摘要

本研究探讨以族群科学为基础的科学环境技术学会(SETS)学习模式对物理与生物学习的影响。这类研究包括系统研究、文献综述和元分析。数据来源来自对2018年至2023年出版的100份国际期刊的分析。通过Google Scholar, Eric, ScienceDirect和ProQuest追踪数据源。选择数据源的过程必须满足JSAP应用程序分析的包含标准。本研究的入选标准为:1)期刊必须发表于2018-2023年;2) SINTA和Scopus/WOS必须对期刊进行索引;3)期刊采用实验或准实验研究方法;4)它有一个可以计算的效应量。数据采集技术是通过期刊数据库直接观测。结果表明,平均效应大小(ES = 0.873)是一个较大的判据。这些发现解释了基于民族科学的科学环境技术学会(SETS)模式显著影响科学学习。此外,这套学习模式有助于学生更积极、更有创造性地学习物理和生物。这些结果对于评估学校学习系统的实施情况非常重要。此外,这种以民族科学为基础的SETS模式必须应用于学习生物和物理,以激发学生的批判性思维。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Effect of Ethnoscience-Based Science Environment Technology Society (SETS) Learning Model in Learning Physics and Biology
This study investigates the effect of the ethnoscience-based Science Environment Technology Society (SETS) learning model on learning Physics and Biology. This type of research involves systematic research, literature reviews, and meta-analyses. The data sources were taken from an analysis of 100 international journals published from 2018 to 2023. Tracing data sources through Google Scholar, Eric, ScienceDirect, and ProQuest. The process of selecting data sources must meet the inclusion criteria analyzed by the JSAP application. The inclusion criteria in this study are: 1) the journal must be published in 2018–2023; 2) SINTA and Scopus/WOS must index the journal; 3) The journal uses experimental or quasi-experimental research methods; and 4) it has an effect size that can be calculated. The data collection technique is direct observation through the journal database. The results showed that the average effect size (ES = 0.873) is a large criterion. These findings explain that the ethnoscience-based Science Environment Technology Society (SETS) model significantly affects science learning. Furthermore, this SETS learning model helps students learn physics and biology more actively and creatively. These results are very important in evaluating the implementation of the school learning system. Furthermore, this ethnoscience-based SETS model must be applied in learning biology and physics to stimulate students to think critically.
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