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Teaching for a Data-Driven Future: Intentionally Building Foundational Computing Skills
Teaching Sociology ( IF 1.860 ) Pub Date : 2021-08-03 , DOI: 10.1177/0092055x211033632
Amy L. Johnson 1 , Rebecca D. Gleit 1
Affiliation  

Despite the centrality of data analysis to the discipline, sociology departments are currently falling short of teaching both undergraduate and graduate students crucial computing and statistical software skills. We argue that sociology instructors must intentionally and explicitly teach computing skills alongside statistical concepts to prepare their students for participation in a data-driven world. We illuminate foundational concepts for computing in the social sciences and provide easy-to-integrate recommendations for building competency with these concepts in the form of a workshop designed to introduce sociology undergraduate and graduate students to the logic of statistical software. We use our workshop to show that students appreciate and gain confidence from being taught how to think about computing.



中文翻译:

为数据驱动的未来教学:有意识地培养基础计算技能

尽管数据分析在该学科中处于中心地位,但社会学系目前仍无法教授本科生和研究生关键的计算和统计软件技能。我们认为,社会学讲师必须有意识地、明确地教授计算技能以及统计概念,以使他们的学生为参与数据驱动的世界做好准备。我们阐明了社会科学中计算的基本概念,并以旨在向社会学本科生和研究生介绍统计软件逻辑的研讨会的形式提供易于整合的建议,以建立这些概念的能力。我们使用我们的讲习班来表明学生欣赏并从被教导如何思考计算中获得信心。

更新日期:2021-08-04
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