Λεπτομέρειες βιβλιογραφικής εγγραφής
| Τίτλος: |
What to consider when we consider data. |
| Συγγραφείς: |
Rubin, Andee |
| Πηγή: |
Teaching Statistics; Jul2021 Supplement S1, Vol. 43, pS23-S33, 11p |
| Θεματικοί όροι: |
Education statistics, Data science, Educational change, Electronic data processing |
| Περίληψη: |
The data sets used in statistics education have changed over time, from mathematically "well‐behaved" ones that facilitated computation, to more context‐rich sources and now, with the increasing influence of data science practices, to "found" data, often from open data sites. As data sources change, it is important for educators to take a fresh look at the ways we engage students in thinking about the processes that generated the data they encounter. The use of already collected data requires particular attention because many of the decisions that went into the processes of obtaining the data are hidden. Students need to learn to ask "Who, When, How, Where, and Why?" data were collected and to wonder if the data really measure what needs to be measured. Our advocacy in this paper is to deepen the educational treatment of data production to better reflect the current and future practice of statistics and data science. [ABSTRACT FROM AUTHOR] |
|
Copyright of Teaching Statistics is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Βάση Δεδομένων: |
Complementary Index |