人人掌握数据技能！(?) - 评估高等教育中数据素养和数据科学能力整合情况的方法

IF 2.2 Q3 Social Sciences

Journal of Statistics Education Pub Date : 2024-03-26 DOI:10.1080/26939169.2024.2334408

André Coners, Benjamin Matthies, Carolin Vollenberg, Julian Koch

引用次数: 0

摘要

熟练处理数据无疑是未来的一项关键技能。然而，对数据能力的需求并不局限于信息技术领域的传统职业。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Data Skills for Everyone! (?) – An Approach to Assessing the Integration of Data Literacy and Data Science Competencies in Higher Education

The proficient handling of data can undoubtedly be regarded as a key skill for the future. However, the need for data competencies is not limited to traditional professions in the information techn...

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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.