Examining generative artificial intelligence integration in journalism education: Insights from journalism educators in Kenya

Shitemi Khamadi; Nur Hossain; Jonas Nyabor; Kevin C. Mudavadi; Bingbing Zhang

doi:10.1177/14648849261459719

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Examining generative artificial intelligence integration in journalism education: Insights from journalism educators in Kenya

Journal article

Peer reviewed

Examining generative artificial intelligence integration in journalism education: Insights from journalism educators in Kenya

Shitemi Khamadi, Nur Hossain, Jonas Nyabor, Kevin C. Mudavadi and Bingbing Zhang

Journalism (London, England)

06/10/2026

DOI: 10.1177/14648849261459719

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Abstract

Scholarship on the adoption of Generative Artificial Intelligence (GenAI) in higher education has raised questions about its pedagogical value, ethical implications, and institutional integration. While this is the case, most of this scholarship is concentrated in the Global North, limiting scholarly comprehension of its impacts in the South. To fill this gap, we draw on the Unified Theory of Acceptance and Use of Technology (UTAUT) and 15 semi-structured interviews with Kenyan journalism educators to examine how they perceive the integration of GenAI into journalism curricula and professional practice (i.e., research and teaching workflows). Our findings show that journalism educators adopt GenAI for pedagogical utility and professional relevance while navigating significant ethical concerns regarding verification, assessment validity, and academic integrity. Professional norms and regulatory expectations in journalism strongly shape adoption, often outweighing institutional influence. The implications of these findings are discussed.

Kenya

GenAI

journalism education

journalism educators

unified theory of acceptance and use of technology

UTAUT

Details

Title: Subtitle: Examining generative artificial intelligence integration in journalism education: Insights from journalism educators in Kenya
Creators: Shitemi Khamadi - Indiana University
Nur Hossain - University of Iowa
Jonas Nyabor - University of Iowa
Kevin C. Mudavadi - Georgia State University
Bingbing Zhang - University of Iowa
Resource Type: Journal article
Publication Details: Journalism (London, England)
DOI: 10.1177/14648849261459719
ISSN: 1464-8849
eISSN: 1741-3001
Publisher: Sage
Grant note: Benjamin Bankson Fellowship
The authors disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This project is supported by the Benjamin Bankson Fellowship in Multimedia Journalism and the Old Gold Summer Fellowship from the School of Journalism and Mass Communication at the University of Iowa and the Summer Research Fellowships from the International Programs at the University of Iowa.
Language: English
Electronic publication date: 06/10/2026
Academic Unit: Center for Social Science Innovation; School of Journalism and Mass Communication
Record Identifier: 9985175372702771

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