Analysis of Artificial Intelligence Integration in Journalism Education
Keywords:
Artificial Intelligence, Journalism Education, Digital Competence, University StudentsAbstract
This study aims to analyze the integration of Artificial Intelligence (AI) into journalism education and its implications for student competency development in the digital era. Employing a qualitative approach through a literature review, the study analyzes relevant scholarly articles, books, and academic documents concerning the application of AI in both journalism education and practice. The findings indicate that AI plays a significant role in enhancing learning efficiency within journalism by enabling personalized materials, streamlining news production, and facilitating more efficient data analysis, all of which foster the development of students' digital skills. However, AI integration also presents challenges, including potential technological dependency, a decline in critical thinking skills, and issues regarding ethics, information accuracy, and academic integrity. The study concludes that AI should serve as a supporting tool in the learning process rather than a substitute for core journalistic competencies; therefore, a balanced pedagogical model is essential—one that integrates technology while reinforcing ethical values, verification practices, and journalistic professionalism.
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