统计学课程:能提高数字推理能力吗?

F. Wahidah, Fadrilillah Rahwa Putra, Anissa Faoziah Nugrahaeni
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引用次数: 0

摘要

背景统计学课程通常是大学学习计划中必须教授的课程之一。统计学帮助学生进行逻辑思考,并实施各种解决问题的策略。统计学习涉及到理解数据处理和数学问题的数字推理能力。统计学课程能提高学生的数字推理能力吗?目的。本研究旨在比较学生在修读统计学课程前后的数字推理能力。材料和方法。共有63名参加统计学课程的学生成为样本。这项研究采用了定量方法。数据收集是在一个在线课程中进行的,使用了数值推理部分的基本能力测试(αCronbach=0.899)。使用的统计分析技术是Wilcoxon测试配对样本。结果。这项研究的结果表明,学生在参加统计学课程后,数字推理能力有所提高(M=7.50;SD=1.87;p<0.05)。还讨论了其他相关研究的结果。结论。这项研究的含义是一个可以复制的统计课程学习模型。数字能力的提高也证明,这种能力可以通过更多的接触来训练,学生的能力就会提高得越多。
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Statistic Course: Can it Improves Numeric Reasoning Ability?
Background. Statistics courses are often one of the courses that must be taught in a college study program. Statistics help students think logically and implement a variety of problem-solving strategies. Statistical learning involves the ability of numerical reasoning to understand data processing and mathematical problems. Will statistics courses be able to improve students’ numerical reasoning?  Purpose. This study aims to find out the comparison of students’ numerical reasoning skills before and after taking statistics courses.  Materials and methods. A total of 63 students who took statistics courses became a sample. This research uses a quantitative approach. Data collection was conducted over a semester in an online course using a basic proficiency test of numerical reasoning section (α Cronbach = 0.899). The statistical analysis technique used is a Wilcoxon test paired sample.  Results. The results of this study showed an increase in numerical reasoning in students after attending statistics courses (M = 7.50; SD = 1.87; p < 0.05). The results of other related studies were also discussed.  Conclusion. The implication of this study is a statistical course learning model that can be replicated. The increase in numerical ability is also evidence that this ability can be trained with more exposure, the more students will increase their abilities.
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审稿时长
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