新闻
计算机科学
流利
可视化
讲故事
课程
构造(python库)
数据可视化
知识管理
软件
数学教育
数据科学
教育学
社会学
心理学
人工智能
叙述的
程序设计语言
哲学
语言学
媒体研究
作者
Piotr S. Bobkowski,Christopher E. Etheridge
标识
DOI:10.1177/10755470221147887
摘要
To facilitate greater integration of statistical reasoning and data instruction in journalism and mass communication (JMC) college curricula, this research note advocates designing collective instruction for journalism and strategic communication students organized around the data literacy construct. It introduces a Data Project Lifecycle model that maps statistics, data, and computational skills discussed across the literature, and which can be used in instructional design. Input from 24 journalism and strategic communication practitioners with data experience identifies essential data skills for JMC graduates: spreadsheet wherewithal, fluency in industry-standard software, ability to tell compelling stories with data, visualization, and self-directed learning.
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