Please use this identifier to cite or link to this item: https://cris.library.msu.ac.zw//handle/11408/6643
Full metadata record
DC FieldValueLanguage
dc.contributor.authorNcube, Lytonen_US
dc.contributor.authorRefilwe Whitney Mofokengen_US
dc.contributor.authorChibuwe, Alberten_US
dc.contributor.authorAllen Munoriyarwaen_US
dc.contributor.authorAntonette Kakujaha- Murangien_US
dc.date.accessioned2025-07-17T11:12:05Z-
dc.date.available2025-07-17T11:12:05Z-
dc.date.issued2025-
dc.identifier.urihttps://cris.library.msu.ac.zw//handle/11408/6643-
dc.description.abstractThis article examines journalism schools (J-schools) responses to the Artificial Intelligence (AI) ‘disruption’. It critically provides an exploratory examination of how J-Schools in Southern Africa are responding to the AI wave in their journalism curriculums. We answer the question: How are Southern African J-Schools responding to AI in their curriculums? Using a disruptive innovation theoretical lens and through documentary review of university teaching initiatives and accredited journalism curriculums, augmented by in-depth interviews, we demonstrate that AI has opened up new horizons for journalism training in multi-dimensional ways. However, this has brought challenges, including covert forms of resistance to AI integration by some Journalism educators. Furthermore, resource constraints and the obduracy of J-schools’ curriculums also contribute to the slow introduction of AI in J-schools. We argue that lack of clarity on what AI is and what can be taught about AI within J-Schools, as well as fear of the unknown has led to a trust deficit among journalism instructors. We further argue that with better training and exposure, journalism educators in Southern Africa can leverage AI technologies to strengthen journalism training.en_US
dc.language.isoenen_US
dc.publisherTaylor and Francis Groupen_US
dc.publisherRoutledgeen_US
dc.relation.ispartofMedia Practice and Educationen_US
dc.subjectArtificial intelligenceen_US
dc.subjectSouth Africaen_US
dc.subjectZimbabween_US
dc.subjectNamibiaen_US
dc.subjectBotswanaen_US
dc.subjectJ-schoolsen_US
dc.title‘Mind the gap’: artificial intelligence and journalism training in Southern African journalism schoolsen_US
dc.typeresearch articleen_US
dc.identifier.doihttps://doi.org/10.1080/25741136.2025.2464483-
dc.contributor.affiliationDepartment of Media Studies, University of Botswana, Gaborone, Botswana;b Department of Communication Science, University of South Africa, Pretoria, South Africaen_US
dc.contributor.affiliationDepartment of Journalism and Integrated Communication, Tshwane University of Technology, Pretoria, South Africaen_US
dc.contributor.affiliationDepartment of Media, Communication, Film and Theatre Arts, Midlands State University, Zvishavane, Zimbabween_US
dc.contributor.affiliationWalter Sisulu University, Journalism Unit, Buffalo City Campus, South Africaen_US
dc.contributor.affiliationDepartment of Social Sciences, University of Namibia, Windhoek, Namibiaen_US
dc.relation.issn2574-1136en_US
item.languageiso639-1en-
item.cerifentitytypePublications-
item.grantfulltextopen-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextWith Fulltext-
item.openairetyperesearch article-
Appears in Collections:Research Papers
Files in This Item:
File Description SizeFormat 
Mind the gap artificial intelligence and journalism training in Southern African journalism schools.pdfFulltext1.01 MBAdobe PDFView/Open
Show simple item record

Page view(s)

60
checked on Aug 19, 2025

Download(s)

6
checked on Aug 19, 2025

Google ScholarTM

Check

Altmetric


Items in MSUIR are protected by copyright, with all rights reserved, unless otherwise indicated.