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Cindy Royal – Journalism and Mass Communication Educator, 2025
Artificial intelligence (AI) has taken the forefront in discussions of the future of media and education. Although there are valid concerns, AI has the potential to be useful in learning new skills, particularly those related to computer programming. This case study depicts the ways AI was introduced to assist in teaching coding, specifically in a…
Descriptors: Artificial Intelligence, Coding, Programming, Computer Science Education
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Foust, James C.; Bradshaw, Katherine A. – Journalism and Mass Communication Educator, 2020
A census of Accrediting Council on Education in Journalism and Mass Communications (ACEJMC)-accredited journalism programs reveals that less than a quarter require students to learn code. Despite industry desires for journalists with coding skills, nearly 40% of the units offer no coding classes. Among programs that require code, most rely on a…
Descriptors: Programming, Journalism Education, Programming Languages, Accreditation (Institutions)
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Jule Scheper; Robin Leuppert; Daniel Possler; Anna Freytag; Sophie Bruns; Julia Niemann-Lenz – Journalism and Mass Communication Educator, 2025
Despite the increasing use of the statistical programming language R in statistics and data analysis (SDA), its implementation in communication science education is limited. Experiences, recommendations, and a critical exchange are therefore scarce. The following contribution addresses this very gap. At the Department of Journalism and…
Descriptors: Journalism Education, Programming Languages, Statistical Analysis, Data Analysis
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Castañeda, Laura; Haggerty, Rebecca – Journalism and Mass Communication Educator, 2019
This study examined two sections of "Reporting and Writing I." One taught writing for text and broadcast concurrently, whereas the other taught these skills sequentially. A student survey found a strong preference for learning subjects sequentially. Outside evaluators assessing final stories rated text projects from students taught…
Descriptors: Student Attitudes, Preferences, Student Surveys, Student Projects