空间智能与地理技能:区域发展与增长材料的REACT模型

Risky Andias Oktavian, D. H. Utomo, A. Putra, Y. A. Wirahayu, S. Rizal
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引用次数: 0

摘要

REACT模式是一种建设性的情境学习,强调学习的意义和学生头脑中建立的知识。本研究旨在确定REACT模型对学生空间智能和地理技能的影响。本研究采用后测纯对照组设计。本研究的对象为2022/2023学年玛琅高中10年级社会科学2班作为实验班,社会科学3班作为对照班的学生。使用有目的抽样技术确定样本,并考虑到中学期末考试成绩几乎相同。研究工具使用了一个参考地理技能和空间智能指标的论文测试。数据分析采用独立样本T检验和Mann-Whitney U检验,显著性水平为0.05。空间智力的独立样本t检验显著性值显示REACT学习模式对学生空间智力的影响为0.004 0.05,其中空间概念指标的影响最大。相比之下,推理过程指标的影响最大。Mann-Whitney U检验地理技能测验的显著性值显示REACT学习模式对学生空间智力的影响为0.004 0.05,其中回答地理问题的指标影响最大,而问地理问题的指标影响最大,最低。
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Spatial Intelligence and Geographic Skills: REACT Model on Regional Development and Growth Materials
The REACT model is constructive contextual learning that emphasizes the meaning of learning and the knowledge built in students' minds. This study aims to determine the effect of the REACT model on students' Spatial Intelligence and Geographic Skills. This research uses Quasy Experimental with Posttest Only Control Group Design. The subjects used in the study were students of class XII Social Sciences 2 as an experimental class and XII Social Sciences 3 as a control class at Senior High School 10 Malang in the academic year 2022/2023. Determination of the sample using purposive sampling technique with the consideration of having a middle school final exam score that is almost the same. The research instrument uses an essay test referring to geographic skills and spatial intelligence indicators. Data analysis used the Independent-Sample T Test and the Mann-Whitney U Test with a significance level of 0.05. The significance value of the Independent-Sample T-Test for spatial intelligence shows an effect of the REACT learning model on students' spatial intelligence with a value of 0.004 0.05, with the spatial concept indicator having the highest influence. In contrast, the reasoning process indicator has the most effect low. The significance value of the Mann-Whitney U test geographical skill test shows an impact of the REACT learning model on students' spatial intelligence with a value of 0.004 0.05, with the indicator answering geographical questions having the highest impact, while the indicator asking geographic questions has the highest influence the lowest.
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