Statistics education from a data-centric perspective

被引：6
|
作者：
Gehrke, Matthias [1 ]
Kistler, Tanja [1 ]
Luebke, Karsten [1 ]
Markgraf, Norman [1 ]
Krol, Bianca [1 ]
Sauer, Sebastian [1 ]
机构：
[1] FOM Univ Appl Sci, Ifes Inst Empir Res & Stat, Essen, Germany
来源：
TEACHING STATISTICS | 2021年 / 43卷
关键词：
teaching; data literacy; data science; learnr; modeling; Shiny apps; simulation-based inference; teaching statistics; SIMULATION-BASED INFERENCE; STUDENT PERFORMANCE; SCIENCE;
D O I：
10.1111/test.12264
中图分类号：
G40 [教育学];
学科分类号：
040101 ; 120403 ;
摘要：
The ubiquitous acquisition and generation of data require a reworking of curricula in introductory statistics in tertiary education. We present a renewed curriculum that focuses on scientific thinking, modeling, and simulation-based inference, utilizing R and various R tools such as shiny and learnr apps. We teach statistics from a data-centric perspective, enabling the students to become data literate. Initial feedback of students and educators at our university of applied sciences shows that students' conceptual understanding improved and they understood the practical applicability of statistics better.
引用
收藏
页码：S201 / S215
页数：15
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