Generative AI and Media Convergence in Education: Transforming Student Communication on Social Media

Wei Yan Lyu

Studies in Media and Communication, 2026, vol. 14, issue 2, 150-160

Abstract: Generative Artificial Intelligence (AI) and media convergence are prompting a rethinking of how students communicate, allowing for visually active creation and interpretation in educational and social media contexts. Although there has been descriptive analysis of media literacy training, there is a limited empirical literature on the training. This research examines the impact of media literacy training on enhancing students' ability to verify AI-generated images in educational and digital communication contexts. A quasi-experimental design was adopted with a purposive sample of 430 undergraduate students representing both genders. The training program was designed to strengthen four key media literacy competencies- access, analysis, collective reasoning, and evaluation. The experiment was implemented using SPSS to assess the program's effectiveness. Pre-test and post-test scores were analyzed using paired sample t-test, correlation analysis, and regression analysis. The analysis revealed statistically significant differences (p

Date: 2026
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