伊斯兰宗教教育学习对学生学习动机的影响

Murharyana Murharyana, Ibnu Imam Al Ayyubi, Rifqi Rohmatulloh, Shoutika Nawadya Ikromi
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引用次数: 0

摘要

本文旨在通过定量研究,了解学生的社会、文化和认知等异质性因素是否对万隆西部阿鲁沙图尔乌卢姆MTs伊斯兰宗教教育学校学生的学习动机产生了重要的关系或影响。采用的研究方法是调查法和相关分析法,以了解自变量(即学生的学习动机)和因变量(即学生的学习成果)之间的关系,并采用基于问题的学习(PBL)学习模式。本研究的研究对象是 Arrukhshatul 'Ulum MTs 九班的学生,样本为 30 名学生。本研究的研究工具采用问卷和测试。对数据分析要求的检验包括正态性检验和线性检验,所用假设为相关检验和回归检验。通过研究发现,使用基于问题的学习(PBL)学习模式,学生的学习动机与学生的学习成绩的数据呈正态分布,且具有较强的相关性,相关系数值为 0.952。此外,学习动机与学习成果之间的交互作用占 90.5%,其余 9.5%受外部因素影响。由于数据呈正态分布,因此继续进行回归检验,得出的数据符合线性标准,回归方程为 Y=32.758+0.653X。
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The Effects of Islamic Religious Education Learning on Students’ Motivation
This article aims to see whether there is a significant relationship or influence on students’ learning motivation towards Islamic religious education at MTs Arrukhshatul 'Ulum West Bandung with heterogeneous social, cultural, and cognitive factors of students using quantitative research. The research method used was a survey method with correlation analysis to see the relationship between the independent variables, namely students’ motivation, and the dependent variable, namely students’ learning outcomes, using the Problem-Based Learning (PBL) learning model. The population of this research was class IX students at MTs Arrukhshatul 'Ulum, with a sample of 30 students. The research instruments in this study used questionnaires and tests. Testing of the data analysis requirements consisted of normality tests and linearity tests with the hypotheses used, namely correlation and regression tests. From the research conducted, it was found that the data of the student’s learning motivation and students’ learning outcomes using the Problem-Based Learning (PBL) learning model is usually distributed and has a strong correlation with the strength of the coefficient with a Correlation Coefficient value of 0.952. Besides that, an interaction between learning motivation and learning outcomes of 90.5 % and the other 9.5% are influenced by external factors. Because the data is normally distributed, it is continued with a regression test, which produces data that meets the linearity criteria with the regression equation Y=32.758+0.653X.
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