Affiliation:
1. University of Kansas, Lawrence, USA
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.
Subject
Sociology and Political Science
Reference48 articles.
1. Accrediting Council on Education in Journalism and Mass Communication. (n.d.). Principles of accreditation. http://www.acejmc.org/policies-process/principles/
2. Association of College & Research Libraries. (2015). Framework for information literacy for higher education. https://www.ala.org/acrl/standards/ilframework
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