How Students Use Statistical Computing in Problem Solving

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 to...

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Vydáno v:Journal of statistics and data science education Ročník 29; číslo S1; s. S145 - S156
Hlavní autoři: Woodard, Victoria, Lee, Hollylynne
Médium: Journal Article
Jazyk:angličtina
Vydáno: Alexandria Taylor & Francis 2021
Taylor & Francis Ltd
Taylor & Francis Group
Témata:
ISSN:2693-9169, 2693-9169
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Shrnutí: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. Supplementary materials for this article are available online.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
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content type line 14
ISSN:2693-9169
2693-9169
DOI:10.1080/10691898.2020.1847007