Undergraduate Learning Outcomes for Achieving Data Acumen

Autor:	Anna Bargagliotti, Wendy Binder, Lance Blakesley, Zaki Eusufzai, Ben Fitzpatrick, Maire Ford, Karen Huchting, Suzanne Larson, Natasha Miric, Robert Rovetti, Kala Seal, Thomas Zachariah
Jazyk:	angličtina
Rok vydání:	2020
Předmět:	data science statistics undergraduate education data acumen Special aspects of education LC8-6691 Probabilities. Mathematical statistics QA273-280
Zdroj:	Journal of Statistics Education, Vol 28, Iss 2, Pp 197-211 (2020)
Druh dokumentu:	article
ISSN:	1069-1898 10691898
DOI:	10.1080/10691898.2020.1776653
Popis:	It is imperative to foster data acumen in our university student population in order to respond to an increased attention to statistics in society and in the workforce, as well as to contribute to improved career preparation for students. This article discusses 13 learning outcomes that represent achievement of undergraduate data acumen for university level students across different disciplines.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/8abc460d7a3f4073b2e1fa581addefee Zobrazit plný text záznamu View record in DOAJ