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https://cris.library.msu.ac.zw//handle/11408/6643
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DC Field | Value | Language |
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dc.contributor.author | Ncube, Lyton | en_US |
dc.contributor.author | Refilwe Whitney Mofokeng | en_US |
dc.contributor.author | Chibuwe, Albert | en_US |
dc.contributor.author | Allen Munoriyarwa | en_US |
dc.contributor.author | Antonette Kakujaha- Murangi | en_US |
dc.date.accessioned | 2025-07-17T11:12:05Z | - |
dc.date.available | 2025-07-17T11:12:05Z | - |
dc.date.issued | 2025 | - |
dc.identifier.uri | https://cris.library.msu.ac.zw//handle/11408/6643 | - |
dc.description.abstract | This 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.iso | en | en_US |
dc.publisher | Taylor and Francis Group | en_US |
dc.publisher | Routledge | en_US |
dc.relation.ispartof | Media Practice and Education | en_US |
dc.subject | Artificial intelligence | en_US |
dc.subject | South Africa | en_US |
dc.subject | Zimbabwe | en_US |
dc.subject | Namibia | en_US |
dc.subject | Botswana | en_US |
dc.subject | J-schools | en_US |
dc.title | ‘Mind the gap’: artificial intelligence and journalism training in Southern African journalism schools | en_US |
dc.type | research article | en_US |
dc.identifier.doi | https://doi.org/10.1080/25741136.2025.2464483 | - |
dc.contributor.affiliation | Department of Media Studies, University of Botswana, Gaborone, Botswana;b Department of Communication Science, University of South Africa, Pretoria, South Africa | en_US |
dc.contributor.affiliation | Department of Journalism and Integrated Communication, Tshwane University of Technology, Pretoria, South Africa | en_US |
dc.contributor.affiliation | Department of Media, Communication, Film and Theatre Arts, Midlands State University, Zvishavane, Zimbabwe | en_US |
dc.contributor.affiliation | Walter Sisulu University, Journalism Unit, Buffalo City Campus, South Africa | en_US |
dc.contributor.affiliation | Department of Social Sciences, University of Namibia, Windhoek, Namibia | en_US |
dc.relation.issn | 2574-1136 | en_US |
item.openairetype | research article | - |
item.fulltext | With Fulltext | - |
item.cerifentitytype | Publications | - |
item.languageiso639-1 | en | - |
item.grantfulltext | open | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
Appears in Collections: | Research Papers |
Files in This Item:
File | Description | Size | Format | |
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Mind the gap artificial intelligence and journalism training in Southern African journalism schools.pdf | Fulltext | 1.01 MB | Adobe PDF | View/Open |
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