How Students Use Statistical Computing in Problem Solving

被引:7
作者
Woodard, Victoria [1 ]
Lee, Hollylynne [2 ]
机构
[1] Univ Notre Dame, Dept Appl & Computat Math & Stat, Notre Dame, IN 46556 USA
[2] North Carolina State Univ, Dept Sci Technol Engn & Math Educ, Raleigh, NC USA
来源
JOURNAL OF STATISTICS AND DATA SCIENCE EDUCATION | 2021年 / 29卷
关键词
Assessment; Problem solving; R; Statistical computing;
D O I
10.1080/10691898.2020.1847007
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
As the demand for skilled data scientists has grown, university level statistics and data science courses have become more rigorous in training students to understand and utilize the tools that their future careers will likely require. However, the mechanisms to assess students' use of these tools while they are learning to use them are not well defined. As such, a framework to assess statistical computing actions was created. Using task-based interviews of students who completed a second course in statistics, the framework was used to determine the ways in which students utilize statistical computing tools, specifically R, while going through problem solving phases. Patterns that emerged are discussed. for this article are available online.
引用
收藏
页码:S145 / S156
页数:12
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