实现数据敏锐性的本科生学习成果

IF 2.2 Q3 Social Sciences

Journal of Statistics Education Pub Date : 2020-05-03 DOI:10.1080/10691898.2020.1776653

Anna E. Bargagliotti, Wendy Binder, Lance Blakesley, Zaki Eusufzai, Ben Fitzpatrick, Máire B Ford, Karen Huchting, Suzanne Larson, N. Miric, Robert J. Rovetti, K. Seal, T. Zachariah

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引用次数: 6

摘要

摘要必须在我们的大学生群体中培养数据敏锐性，以应对社会和劳动力对统计数据的日益关注，并为改善学生的职业准备做出贡献。本文讨论了13个学习成果，这些成果代表了不同学科的大学水平学生在本科生数据敏锐性方面的成就。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Undergraduate Learning Outcomes for Achieving Data Acumen

Abstract 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.

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来源期刊

Journal of Statistics Education EDUCATION, SCIENTIFIC DISCIPLINES-

CiteScore

1.20

自引率

0.00%

发文量

审稿时长

12 weeks

期刊介绍： The "Datasets and Stories" department of the Journal of Statistics Education provides a forum for exchanging interesting datasets and discussing ways they can be used effectively in teaching statistics. This section of JSE is described fully in the article "Datasets and Stories: Introduction and Guidelines" by Robin H. Lock and Tim Arnold (1993). The Journal of Statistics Education maintains a Data Archive that contains the datasets described in "Datasets and Stories" articles, as well as additional datasets useful to statistics teachers. Lock and Arnold (1993) describe several criteria that will be considered before datasets are placed in the JSE Data Archive.