电子表格、软件、讲故事、可视化、终身学习:新闻与战略传播专业学生必备的数据技能

IF 4.6 1区文学 Q1 COMMUNICATION

Science Communication Pub Date : 2023-02-01 DOI:10.1177/10755470221147887

Piotr S. Bobkowski, C. Etheridge

{"title":"电子表格、软件、讲故事、可视化、终身学习:新闻与战略传播专业学生必备的数据技能","authors":"Piotr S. Bobkowski, C. Etheridge","doi":"10.1177/10755470221147887","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":47828,"journal":{"name":"Science Communication","volume":"45 1","pages":"95 - 116"},"PeriodicalIF":4.6000,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Spreadsheets, Software, Storytelling, Visualization, Lifelong Learning: Essential Data Skills for Journalism and Strategic Communication Students\",\"authors\":\"Piotr S. Bobkowski, C. Etheridge\",\"doi\":\"10.1177/10755470221147887\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":47828,\"journal\":{\"name\":\"Science Communication\",\"volume\":\"45 1\",\"pages\":\"95 - 116\"},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2023-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Science Communication\",\"FirstCategoryId\":\"98\",\"ListUrlMain\":\"https://doi.org/10.1177/10755470221147887\",\"RegionNum\":1,\"RegionCategory\":\"文学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMMUNICATION\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Science Communication","FirstCategoryId":"98","ListUrlMain":"https://doi.org/10.1177/10755470221147887","RegionNum":1,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMMUNICATION","Score":null,"Total":0}

引用次数: 0

摘要

为了促进统计推理和数据教学在新闻与大众传播学院（JMC）课程中的进一步整合，本研究报告主张为新闻与战略传播专业的学生设计围绕数据素养结构组织的集体教学。它介绍了一个数据项目生命周期模型，该模型映射了文献中讨论的统计数据、数据和计算技能，可用于教学设计。24名具有数据经验的新闻和战略传播从业者的投入确定了JMC毕业生的基本数据技能：电子表格的必要性、行业标准软件的流利性、用数据讲述引人入胜的故事的能力、可视化和自主学习。

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

Spreadsheets, Software, Storytelling, Visualization, Lifelong Learning: Essential Data Skills for Journalism and Strategic Communication Students

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.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Science Communication COMMUNICATION-

CiteScore

13.50

自引率

4.40%

发文量

期刊介绍： Science Communication is a prestigious journal that focuses on communication research. It is recognized globally for publishing top-quality manuscripts that demonstrate excellent theoretical frameworks and robust methodology. Our journal embraces a broad definition of science, encompassing not only the natural and physical sciences but also social science, technology, environment, engineering, and health. Regardless of the scientific area, effective communication is always the focal point of our investigations. Apart from theoretical and methodological rigor, we place great emphasis on the practical implications of scientific communication. Therefore, we expect all submitted manuscripts to address the real-world applications and significance of their research, alongside theoretical considerations. In summary, Science Communication is an internationally renowned journal dedicated to bridging the gap between science and society. By promoting effective communication in various scientific domains, we strive to engage readers with intriguing research that has tangible implications for the world around us.