Creating Community in a Data Science Classroom

David Kane
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Abstract

A community is a collection of people who know and care about each other. The vast majority of college courses are not communities. This is especially true of statistics and data science courses, both because our classes are larger and because we are more likely to lecture. However, it is possible to create a community in your classroom. This article offers an idiosyncratic set of practices for creating community. I have used these techniques successfully in first and second semester statistics courses with enrollments ranging from 40 to 120. The key steps are knowing names, cold calling, classroom seating, a shallow learning curve, Study Halls, Recitations and rotating-one-on-one final project presentations.
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在数据科学课堂中创建社区
社区是一群相互了解和关心的人的集合。绝大多数大学课程都不是社区。统计学和数据科学课程尤其如此,因为我们的班级更大,也因为我们更有可能讲课。然而,在你的教室里创建一个社区是可能的。本文为创建社区提供了一套独特的实践。我在入学人数从40人到120人不等的第一学期和第二学期统计学课程中成功地使用了这些技巧。关键步骤是知道名字,陌生电话,教室座位,浅显的学习曲线,自习室,背诵和轮流一对一的期末项目演示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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