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Data Journalism: Lessons Learned While Designing an Interdisciplinary Service Course

Published: 24 February 2015 Publication History

Abstract

We present the design and implementation of an interdisciplinary service course on data journalism, a first-ever collaboration between the computer science department and college of journalism at our institution. The course covered the basics of dataset acquisition, cleaning, and analysis, and taught key programming and web development concepts. Students created an online portfolio of exercises, culminating in a news story and data visualization. The course was well received by students coming from a variety of backgrounds. We provide recommendations for future iterations of this course.

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cover image ACM Conferences
SIGCSE '15: Proceedings of the 46th ACM Technical Symposium on Computer Science Education
February 2015
766 pages
ISBN:9781450329668
DOI:10.1145/2676723
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 24 February 2015

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Author Tags

  1. curriculum
  2. data journalism
  3. non-majors
  4. visualization

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  • Research-article

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  • UGA President's Venture Fund
  • ONA/AP-Google Scholarship

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SIGCSE '15
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SIGCSE '15 Paper Acceptance Rate 105 of 289 submissions, 36%;
Overall Acceptance Rate 1,787 of 5,146 submissions, 35%

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The 56th ACM Technical Symposium on Computer Science Education
February 26 - March 1, 2025
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  • (2023)Data Science for Social Science and Digital Humanities ResearchGuide to Teaching Data Science10.1007/978-3-031-24758-3_19(283-301)Online publication date: 21-Mar-2023
  • (2022)Teaching Data Journalism: A Systematic ReviewJournalism Practice10.1080/17512786.2022.204488818:3(722-743)Online publication date: Mar-2022
  • (2021)Widening the Shrinking Pipeline: The Case of Data Science2021 IEEE Global Engineering Education Conference (EDUCON)10.1109/EDUCON46332.2021.9453924(252-261)Online publication date: 21-Apr-2021
  • (2020)Teaching Data Journalism: Insights for Indian Journalism EducationAsia Pacific Media Educator10.1177/1326365X2092320030:1(44-58)Online publication date: 17-Jun-2020
  • (2020)Designing Engagement in Local News: Using FOIA Requests to Create Inclusive Participatory Journalism PracticesJournalism Practice10.1080/17512786.2020.181938116:5(828-847)Online publication date: 16-Sep-2020
  • (2018)Quantified SelfProceedings of the 49th ACM Technical Symposium on Computer Science Education10.1145/3159450.3159574(946-951)Online publication date: 21-Feb-2018
  • (2016)VisMapProceedings of the 47th ACM Technical Symposium on Computing Science Education10.1145/2839509.2844572(163-168)Online publication date: 17-Feb-2016
  • (2016)DatathonsProceedings of the 47th ACM Technical Symposium on Computing Science Education10.1145/2839509.2844568(615-620)Online publication date: 17-Feb-2016
  • (2015)Computer Science Meets Social StudiesProceedings of the eleventh annual International Conference on International Computing Education Research10.1145/2787622.2787751(281-282)Online publication date: 9-Jul-2015

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