Skip to content
Open access

Artificial Intelligence Adoption in Journalism and Mass Communication Education: Exploring Perceived Benefits, Barriers, and Future Readiness

Jul 2026 · RESEARCH HUB International Multidisciplinary Research Journal · Vol 13, pp. 70-79 · 0 citations

TL;DR

Artificial Intelligence should be viewed not as a replacement for human creativity, critical thinking, or editorial judgment, but as a transformative educational partner capable of enriching journalism education and preparing future media professionals to thrive in an increasingly intelligent, data-driven, and digitally interconnected communication ecosystem.

Abstract

Artificial Intelligence (AI) is rapidly transforming the landscape of higher education, with Journalism and Mass Communication emerging as one of the disciplines most profoundly influenced by this technological revolution. AI-powered technologies, including generative AI, machine learning, natural language processing, and data analytics, are reshaping teaching methodologies, curriculum design, newsroom simulations, research practices, and multimedia content creation while redefining the competencies expected of future media professionals. At the same time, the integration of AI presents critical challenges related to academic integrity, misinformation, algorithmic bias, ethical responsibility, faculty preparedness, data privacy, and the preservation of fundamental journalistic principles. This conceptual paper critically explores the opportunities, challenges, and future preparedness associated with AI adoption in Journalism and Mass Communication education through an extensive synthesis of contemporary scholarly literature and international policy perspectives. The study argues that AI has the potential to enhance personalized learning, strengthen digital journalism, improve research efficiency, foster innovation in multimedia storytelling, and equip students with industry-relevant skills. However, its successful and sustainable implementation depends upon comprehensive curriculum reform, institutional readiness, robust digital infrastructure, continuous faculty development, responsible AI governance, and the promotion of AI literacy and ethical awareness among both educators and learners. The paper concludes that Artificial Intelligence should be viewed not as a replacement for human creativity, critical thinking, or editorial judgment, but as a transformative educational partner capable of enriching journalism education and preparing future media professionals to thrive in an increasingly intelligent, data-driven, and digitally interconnected communication ecosystem.

Read PDF

Similar papers

Review Open access Aug 2026

Artificial Intelligence and the Future of Media Education: Reshaping Curriculum for Emerging Technologies

Artificial Intelligence (AI) is rapidly reshaping the landscape of media education, compelling institutions to rethink curricula, pedagogical strategies, and professional training models. This paper critically examines the transformative role of AI in journalism and communication studies, focusing on its implications f...

Michael Ndonye · 0 citations
Review Open access Sep 2026

Artificial Intelligence in Higher Education: Balancing Opportunities, Risks, and Ethical Challenges in the Era of Generative AI

Artificial Intelligence (AI), particularly Generative AI, has rapidly transformed higher education by reshaping teaching, learning, research, assessment, and institutional management. The increasing adoption of AI-powered tools such as ChatGPT, Google Gemini, Microsoft Copilot, and Claude has created significant opport...

H. Teferi · 0 citations
Open access Aug 2026

Journalism and Mass Communication Students Attitudes toward Using of AI: Challenges and Opportunities (Case of Georgia)

High overall technology acceptance is demonstrated, driven primarily by prior AI training and graduate-level studies, which revial a crucial gap between student enthusiasm and institutional preparation, offering an empirical foundation for modernizing journalism curricula in transitional media environments.

Dali Osepashvili · 0 citations
Review Open access 2026

Artificial Intelligence Adoption Among Future Journalism and Mass Communication Professionals: A TAM-Based Approach to Students’ Generative AI Adoption Intent

As artificial intelligence (AI) reshapes industries, journalism and mass communications professions are slowly adapting to these technologies. This study employs the Technology Acceptance Model (TAM) and AI-TAM frameworks to examine predictors of AI adoption intent among college students preparing for careers in the fi...

C. Akalonu · 0 citations
Sep 2026

Artificial intelligence adoption in technical-vocational higher education: employability and workforce policy implications

This study investigated students' experiences of artificial intelligence (AI) adoption in Technical-Vocational Higher Education (TVHE) in Jolo, Sulu, Philippines, examining its implications for learning, employability, and institutional readiness. Using a qualitative phenomenological design, semi-structured...

A. Jadjuli · 0 citations
Review Open access 2026

The Transformative role of Artificial Intelligence in Enhancing Academic Motivation

The findings indicate that AI significantly enhances academic motivation by providing personalized learning pathways, immediate feedback, adaptive instructional support, and interactive learning experiences that strengthen learners’ autonomy, confidence, engagement, and persistence.

B. Roy · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.