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02438348033 Issues in defending Party’s ideological foundation, combating wrong, hostile views in teaching and researching at the Academy of Journalism and Communication
The article identifies the connection between teaching and researching with combating wrong, hostile views in recent years at the Academy of Journalism and Communication. The outcome of these activities is proven by the flexible, creative application of theory into practice, the employment of active teaching methods in political theory, journalism, and communication courses. It also provides scientific foundation from scientific projects, articles in the struggle to protect the Party’s ideological foundation and to fight against the wrong, hostile views. In addition, the article discusses the limitations in teaching and researching and proposes five solutions to effectively protect the Party’s ideological foundation and combat the wrong, hostile views in the coming time.
Source: Journal of Political Theory and Communications, no 5 (2020).
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Impacts of artificial intelligence (AI) on journalism education
Abstract: Within just a decade, artificial intelligence (AI) has profoundly transformed nearly every aspect of social life. Journalism, initially marked by apprehension, has gradually moved toward acceptance and adaptation to the integration of AI into professional practices. This transformation has, in turn, reshaped both the content and pedagogical approaches of journalism education. By analyzing the impacts of AI on journalism in general and on journalism education in particular, this article clarifies how AI influences curricula, teaching methods, faculty competencies, and the institutional infrastructure of journalism education in Viet Nam. On that basis, the study proposes a set of recommendations to assist journalism training institutions in integrating AI into pedagogical practices in a responsible and effective manner.
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