Emerging Trends in Media Education: A Meta-Analysis of AI Applications and Educators Insights
El Ghezawy, A., Aly El Deen, Y., Abd El Wahab, D. (2025). Emerging Trends in Media Education: A Meta-Analysis of AI Applications and Educators Insights. EKB Journal Management System, 1(1), 200-229. doi: 10.21608/ijcrs.2025.463108
Amal El Ghezawy; Yasmeen Aly El Deen; Donia Tarek Abd El Wahab. "Emerging Trends in Media Education: A Meta-Analysis of AI Applications and Educators Insights". EKB Journal Management System, 1, 1, 2025, 200-229. doi: 10.21608/ijcrs.2025.463108
El Ghezawy, A., Aly El Deen, Y., Abd El Wahab, D. (2025). 'Emerging Trends in Media Education: A Meta-Analysis of AI Applications and Educators Insights', EKB Journal Management System, 1(1), pp. 200-229. doi: 10.21608/ijcrs.2025.463108
El Ghezawy, A., Aly El Deen, Y., Abd El Wahab, D. Emerging Trends in Media Education: A Meta-Analysis of AI Applications and Educators Insights. EKB Journal Management System, 2025; 1(1): 200-229. doi: 10.21608/ijcrs.2025.463108

Emerging Trends in Media Education: A Meta-Analysis of AI Applications and Educators Insights

المجلة الدولية لبحوث ودراسات الاتصالات
Article 8, Volume 1, Issue 1, December 2025, Pages 200-229    PDF (1.69 M)
Document Type: المقالة الأصلية
DOI: 10.21608/ijcrs.2025.463108
Authors
Amal El Ghezawy1; Yasmeen Aly El Deen1; Donia Tarek Abd El Wahab2
1المعهد الكندى العالي لتكنولوجيا الإعلام الحديث
2المعهد الكندي العالي لتكنولوجيا الإعلام الحديث
Abstract
This study explores the transformative impact of Artificial Intelligence (AI) on media education in the Arab region through a comprehensive meta- analysis of existing literature, complemented by in-depth interviews with media educators. Adopting a mixed-methods approach, the research begins with a meta- analysis of multiple studies to identify key AI applications in education, including personalized learning, automated content creation, and enhanced assessment methods. The theoretical framework guiding this study is the Technological Pedagogical Content Knowledge (TPACK) model, which emphasizes the integration of technology into pedagogical practices and its implications for effective content delivery. The qualitative component consists of in-depth interviews with media educators from across the Arab region, focusing on their experiences, perceptions, and the challenges they encounter in incorporating AI into media education, while highlighting contextual factors influencing adoption. The findings reveal significant opportunities for improving learning experiences and educational outcomes through AI integration, counterbalanced by challenges related to infrastructure, educator training, and ethical considerations. The study recommends the development of comprehensive strategies for AI adoption in media education that respect cultural contexts and ensure ethical use of technology.
Keywords
Media Education; Artificial Intelligence; Meta-Analysis; Personalized Learning; TPACK
References
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