Impact of Artificial Intelligence on Journalism Training

Abstract

This research addressed how the use of artificial intelligence influenced the academic training of journalism students at the Faculty of Social Communication (FACSO) of the University of Guayaquil. It was observed that, although these tools offered benefits such as task automation, data analysis, and content generation, they also created a growing technological dependency. This dependence compromised the development of fundamental journalism skills, such as critical writing, source verification, and analytical judgement. From a theoretical perspective, models such as social communication theory, professional ethics, and the social construction of technology were used to understand the relationship between the student, the technological tool, and the academic environment. Furthermore, it became clear that the implementation of AI required a review of educational methods in order to balance the use of technology with the development of human and ethical skills. Methodologically, the study combined quantitative and qualitative approaches, using surveys and interviews to collect data on the use, perception and learning of these technologies. Finally, it was concluded that AI should not replace critical thinking or journalistic creativity, but rather be integrated ethically and equitably as a complement to the educational process, thus promoting job preparation adapted to the demands of the digital environment.