AI-POWERED CREATIVE ADVERTISING IN EDUCATION
DOI:
https://doi.org/10.29121/shodhkosh.v6.i5s.2025.6877Keywords:
Artificial Intelligence (AI), Creative Advertising, Affective Computing, Reinforcement Learning, Educational Marketing, Cognitive Engagement, Emotional Alignment, Intelligent CommunicationAbstract [English]
Creative communication in the field of education is changing with the help of Artificial Intelligence (AI), which allows adaptation, emotion-responsive, and data-driven advertising. The present paper is a creative advertising system designed through AI that incorporates generative models, reinforcement learning, and affective computing to promote the level of engagement, recall, and outreach among learners and the institution. The suggested system alters the conventional promotional campaigns and develops them into the interactive and pedagogically oriented experiences based on the dynamically generated personalized multimedia content. The results of experimental assessment of the performance of multiple case studies demonstrated that there were significant changes in Click-Through Rate (CTR), Engagement Index (EI), and Recall Rate in comparison with traditional campaigns. Correlation analysis also has identified a good positive correlation between emotional alignment and cognitive retention, which confirms the pedagogical capabilities of affect-conscious AI systems. These findings prove that AI-based creative advertising can be used as a marketing innovation and a cognitive learning catalyst, which provides institutions with an opportunity to convey the educational value in a better way. Moral aspects in the form of transparency, reduction of bias and ownership of creativity are also tackled, to provide sound implementation in academic settings. As a whole, this study emphasizes the transformational nature of AI to redefine the purpose of educational communication with intelligent creativity and emotional design.
References
Argan, M., Dinç, H., Kaya, S., and Argan, M. T. (2022). Artificial Intelligence (AI) in Advertising. Advances in Distributed Computing and Artificial Intelligence Journal. DOI: https://doi.org/10.14201/adcaij.28331
Figoli, F. A., Rampino, L., and Mattioli, F. (2022). AI in Design Idea Développent : A Workshop on Creativity and Human-AI Collaboration. In Proceedings of the DRS2022 : Bilbao, Bilbao, Spain, 25 June–3 July 2022. DOI: https://doi.org/10.21606/drs.2022.414
Ford, J., Jain, V., Wadhwani, K., and Gupta, D. G. (2023). AI Advertising : An Overview and Guidelines. Journal of Business Research, 166, 114124. https://doi.org/10.1016/j.jbusres.2023.114124 DOI: https://doi.org/10.1016/j.jbusres.2023.114124
Gu, C., Jia, S., Lai, J., Chen, R., and Chang, X. (2024). Exploring Consumer Acceptance of AI-Generated Advertisements : From the Perspectives of Perceived Eeriness and Perceived Intelligence. Journal of Theoretical and Applied Electronic Commerce Research, 19, 2218–2238. https://doi.org/10.3390/jtaer19030108 DOI: https://doi.org/10.3390/jtaer19030108
Guo, X., Xiao, Y., Wang, J., and Ji, T. (2023). Rethinking Designer Agency: A Case Study of Co-Creation Between Designers and AI. In Proceedings of the IASDR 2023: Life-Changing Design, Milan, Italy, 9–13 October 2023. (DOI not available) DOI: https://doi.org/10.21606/iasdr.2023.478
Haleem, A., Javaid, M., Qadri, M. A., Singh, R. P., and Suman, R. (2022). Artificial Intelligence (AI) Applications for Marketing: A Literature-Based Study. International Journal of Intelligent Networks, 3, 119–132. https://doi.org/10.1016/j.ijin.2022.08.005 DOI: https://doi.org/10.1016/j.ijin.2022.08.005
Jeong, J., Hong, D., and Youm, S. (2022). Optimization of the Decision-Making System for Advertising Strategies of Small Enterprises—Focusing on Company A. Systems, 10, 116. https://doi.org/10.3390/systems10040116 DOI: https://doi.org/10.3390/systems10040116
Kandoth, S., and Shekhar, S. K. (2024). Scientometric Visualization of Data on Artificial Intelligence and Marketing: Analysis of Trends and Themes. Sci. Talks, 9, 100309. DOI: https://doi.org/10.1016/j.sctalk.2024.100309
Lee, C.-W. (2025). Application of Generative Artificial Intelligence in Design Education: An Exploration and Analysis to Enhance Student Creativity. Engineering Proceedings, 98, 29. https://doi.org/10.3390/engproc2025098029 DOI: https://doi.org/10.3390/engproc2025098029
Lim, C. V., and Park, H.-W. (2025). Mapping Impact and Influence in AI-Driven Advertising: A Scientometric and Network Analysis of Knowledge Ecosystem. Systems, 13, 859. https://doi.org/10.3390/systems13100859 DOI: https://doi.org/10.3390/systems13100859
Rahman, W. F. W. A., Che Fauzi, A. A., Wan Husain, W. S., Che Hassan, S. H., Nik Kamaruzaman, N. U. S., and Wan Abdul Aziz, W. N. H. (2020). The Usage of Artificial Intelligence in Marketing Automation: Potentials and Pitfalls. Journal of Mathematics and Computer Science, 6, 1–8.
Song, M., Chen, H., Wang, Y., and Duan, Y. (2024). Can AI Fully Replace Human Designers? Matching Effects Between Declared Creator Types and Advertising Appeals on Tourists’ Visit Intentions. Journal of Destination Marketing and Management, 32, 100892. DOI: https://doi.org/10.1016/j.jdmm.2024.100892
Tang, Y., Ciancia, M., Wang, Z., and Gao, Z. (2024). What’s Next? Exploring Utilization, Challenges, and Future Directions of AI-Generated Image Tools in Graphic Design. arXiv. https://arxiv.org/abs/2406.13436
Vodă, A. I., Bortoș, S., and Şoitu, D. T. (2023). Knowledge Ecosystem: A Sustainable Theoretical Approach. European Journal of Sustainable Development, 12, 47. DOI: https://doi.org/10.14207/ejsd.2023.v12n2p47
Yu, H.-C. (2023). The Impact of Artificial Intelligence Images Application on Creative Performance of Elementary School Senior Students in Art Courses. Master’s Thesis, National Ilan University, Yilan, Taiwan.
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Copyright (c) 2025 Bhoomika Badlani, Dr. Pravin Mane, Dr. Priyanka Chandani, K. Karthik, Mr. Trilochan Tarai, Dr. Vijayalakshmi Pasupathy, Vaishali Sunilsingh Bayas
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