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引用次数: 10
摘要
摘要翻转课堂(FC)是一种颠覆传统课堂的教学模式,学生在教师的指导下,在家中被动学习,在课堂上主动学习。非数学专业的统计学入门课程可能特别适合FC模型,因为它作为具有不同数学技能和背景的学生的必修课具有独特的挑战。例如,这些学生通常对统计数据兴趣不高,并且有高度的统计相关焦虑。最近的研究表明,相对于传统的基于讲座的课堂(LC),入门统计学课程的FC可以提高学生的表现。本荟萃分析比较了在FC和LC授课的非数学专业学生在统计学入门课程上的学习成绩。结果表明,与LC交付的学生相比,FC的学生在统计上有明显更高的最终表现结果,平均表现差异为6.9% (Hedge 's g = 0.43),尽管有证据表明每周课堂测验的存在是适度的。这些发现表明,在本科阶段的统计学入门课堂中实施FC可能会提高学习成绩,但需要更多的研究来探索常规课堂测验的作用。本文的补充材料可在网上获得。
The Flipped Classroom in Introductory Statistics: Early Evidence From a Systematic Review and Meta-Analysis
Abstract The flipped classroom (FC) inverts the traditional classroom by having students participate in passive aspects of learning at home and active aspects of learning in class with the guide of an instructor. The introductory statistics course for nonmath majors may be especially suited to the FC model given its unique challenges as a required course for students with varying mathematical skills and background. For example, these students often have low interest and high statistics-related anxiety. Recent studies suggest the FC for introductory statistics courses leads to increased performance relative to a traditional lecture-based classroom (LC). This meta-analysis compared the academic performance of students in introductory statistics courses for nonmath majors who were taught in a FC versus those taught in a LC. Results indicate that students in the FC had statistically discernibly higher final performance outcomes compared to the LC delivery with an average difference of 6.9% in performance (Hedge’s g = 0.43), though there was evidence of moderation by the presence of weekly in-class quizzes. These findings suggest that implementing the FC within the introductory statistics classroom at the undergraduate level may improve learning achievement, but more research is needed to explore the role of regular class quizzes. Supplementary materials for this article are available online.
期刊介绍:
The "Datasets and Stories" department of the Journal of Statistics Education provides a forum for exchanging interesting datasets and discussing ways they can be used effectively in teaching statistics. This section of JSE is described fully in the article "Datasets and Stories: Introduction and Guidelines" by Robin H. Lock and Tim Arnold (1993). The Journal of Statistics Education maintains a Data Archive that contains the datasets described in "Datasets and Stories" articles, as well as additional datasets useful to statistics teachers. Lock and Arnold (1993) describe several criteria that will be considered before datasets are placed in the JSE Data Archive.