About the Journal
ISSN: Applying
Contemporary Visual Culture and Art is an international, peer-reviewed, open-access journal dedicated to the exploration of contemporary visual culture and artistic practices. The journal provides an interdisciplinary platform for scholars, artists, and practitioners to engage in innovative research and theoretical discussions on the evolving landscape of visual arts in the 21st century. View full aims and scope
Frequency: Biannual (June and December)
Current Issue
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Articles Article ID: 601–22
Design Principles for AI-Assisted Filmmaking: Lessons from ‘Our T2 Remake’ and Beyond
June 2025, DOI: https://doi.org/10.63385/cvca.v1i1.60 
70 (Abstract)
72 (Download)
Abstract: The integration of Artificial Intelligence (AI) in video production represents a fundamental transformation in creative workflows, production methodologies, and content distribution. Through a comprehensive review centered on Our T2 Remake (OT2R) — a groundbreaking 2024 collaborative reinterpretation of Terminator 2: Judgment Day by 50 artists using generative AI — this...More >>
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Articles Article ID: 8823–36
An Exploration of the Impact of Generative AI Video on Historical Learning Motivation in Digital Textbooks
June 2025, DOI: https://doi.org/10.63385/cvca.v1i1.88 31 (Abstract)
16 (Download)
Abstract: This research focused on examination of the advantages and possibilities of AI digital textbooks using Generative AI at the present time when printed textbooks are completely replaced by the digital textbooks. Previous studies have proposed that historical content games have a positive effect on intellectual curiosity and acquiring knowledge, and...More >>
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Articles Article ID: 2337–53
Generative Visions: AI, Human Imagination, and the Future of Art
June 2025, DOI: https://doi.org/10.63385/cvca.v1i1.23 36 (Abstract)
47 (Download)
Abstract: This study critically examines the evolving relationship between Artificial Intelligence (AI) and contemporary art, exploring how computational systems are reshaping concepts of creativity, authorship, and aesthetic production. Tracing key historical developments—from Harold Cohen’s pioneering AARON program in the 1970s to contemporary practices employing deep learning and Generative Adversarial Networks (GANs)—the research...More >>
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