Leveraging the “Large” in Large Lecture Statistics Classes

IF 1.5 Q2 EDUCATION, SCIENTIFIC DISCIPLINES
Kady Schneiter, KimberLeigh Felix Hadfield, Jenny Lee Clements
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引用次数: 0

Abstract

Abstract Being a teacher or a student in a class with a large enrollment can be intimidating. Often, teachers view comforts that are common to small classes as unattainable in a larger class, including knowing students’ names, using active learning, employing group work, and creating group discussion. Students in large classes may find that the class size leads to isolation. At Utah State University, we offer introductory statistics classes for various audiences using a large lecture format. The authors have collectively led these large lectures dozens of times and found that, despite its shortcomings, the large lecture format can be an asset when teaching statistics. With an active learning approach such as recommended by the revised GAISE College report, large class sizes permit realistic sampling, facilitate student-driven simulation, and provide bountiful opportunities for experimentation. In this article, we discuss the benefits of large classes for statistics teaching and present examples of using large class sizes to create an engaging environment that where students are involved in active learning and collecting real data to foster statistical thinking.
利用统计学大课中的“大”
作为一名教师或一名学生在一个有大量注册的班级里可能会令人生畏。通常,老师们认为小班教学中常见的舒适在大班教学中是无法实现的,包括知道学生的名字,积极学习,采用小组合作,组织小组讨论。大班的学生可能会发现班级规模导致孤立。在犹他州立大学,我们采用大型讲座的形式为不同的听众提供统计学入门课程。作者们已经集体领导了几十次这样的大型讲座,并发现,尽管有缺点,大型讲座形式在教授统计学时可能是一种资产。采用GAISE学院修订报告推荐的主动学习方法,大班授课允许真实的抽样,促进学生驱动的模拟,并提供丰富的实验机会。在本文中,我们讨论了大班教学对统计学教学的好处,并给出了使用大班教学来创造一个吸引人的环境的例子,在这个环境中,学生参与主动学习和收集真实数据,以培养统计思维。
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来源期刊
Journal of Statistics and Data Science Education
Journal of Statistics and Data Science Education EDUCATION, SCIENTIFIC DISCIPLINES-
CiteScore
3.90
自引率
35.30%
发文量
52
审稿时长
12 weeks
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