ANALISIS HUBUNGAN KESIAPAN BELAJAR SECARA DARING DI ERA PANDEMI COVID-19 TERHADAP HASIL BELAJAR STATISTIKA

IF 1.3 4区 计算机科学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
Fitry Wahyuni, Muhammad Daut Siagian
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引用次数: 2

Abstract

This study was motivated by the transformation of the learning process from face-to-face to online learning due to the Covid-19 pandemic. This study aims to analyze students' online learning readiness in the Covid-19 pandemic era regarding statistics learning outcomes. This research is a quantitative descriptive study using a regression research design. Data collection was carried out by providing online learning readiness questionnaires and statistical material tests to students. Based on the results of data analysis, it was found that there was a relationship between online learning readiness and student learning outcomes statistics, with the acquisition price of F count = 4.195 and a significance value of 0.048 <0.05, and 46.1% of student statistics learning outcomes were influenced by learning readiness and the rest was influenced by external factors. student learning readiness. Based on these results, it is concluded that online learning readiness affects student learning outcomes statistics, where the large influence of learning readiness is 46.1%. Therefore, so that lecturers and students can maximize factors outside of learning readiness so that the achievements and objectives of the statistics course can be maximally achieved even though learning is carried out online.
新冠肺炎流行时期某些人群的统计关系分析
这项研究的动机是由于Covid-19大流行导致学习过程从面对面学习转变为在线学习。本研究旨在从统计学学习成果的角度分析新冠肺炎大流行时代学生在线学习准备情况。本研究是采用回归研究设计的定量描述性研究。通过向学生提供在线学习准备问卷和统计材料测试来收集数据。根据数据分析结果,我们发现在线学习准备与学生学习成果统计存在相关关系,F count的获取价格= 4.195,显著性值为0.048 <0.05,46.1%的学生统计学习成果受学习准备的影响,其余受外部因素的影响。学生学习准备。基于这些结果,得出在线学习准备影响学生学习成果统计的结论,其中学习准备的影响较大,为46.1%。因此,讲师和学生可以最大限度地利用学习准备之外的因素,这样即使在线学习,也可以最大限度地实现统计课程的成就和目标。
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来源期刊
Journal of Database Management
Journal of Database Management 工程技术-计算机:软件工程
CiteScore
4.20
自引率
23.10%
发文量
24
期刊介绍: The Journal of Database Management (JDM) publishes original research on all aspects of database management, design science, systems analysis and design, and software engineering. The primary mission of JDM is to be instrumental in the improvement and development of theory and practice related to information technology, information systems, and management of knowledge resources. The journal is targeted at both academic researchers and practicing IT professionals.
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