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Generative AI in Multimedia Arts Courses: Benefits and Limitations

a FEU Institute of Technology, Manila, Philippines

Lecture Notes in Networks and Systems, (2026), pp. 103-113

Abstract: Generative AI tools are increasingly transforming multimedia arts courses by streamlining creative processes and expanding the possibilities for artistic expression. The integration of these tools into creative platforms has enabled students to enhance their productivity and experiment with innovative techniques, fostering an environment where digital artistry can thrive. Despite these benefits, the use of AI raises significant concerns regarding originality, artistic authenticity, and the potential erosion of traditional skills. Analysis using the technology acceptance model (TAM) reveals that students broadly accept these tools due to their perceived utility and ease of use, yet they remain cautious about their long-term impact on creative development. A word cloud analysis of student feedback illustrates a diverse array of sentiments, combining enthusiasm for the technological advancements with caution and ethical deliberation about the role of AI in art. Sentiment analysis further indicates an overall optimistic view toward the integration of generative AI, while also uncovering persistent concerns about ethical issues, such as copyright and the fair attribution of creative work. These findings highlight the critical need for educational strategies that balance the benefits of AI-driven efficiency and innovation with the preservation of traditional artistic practices. Future research should explore methods to integrate AI into multimedia arts curricula in a way that augments human creativity and safeguards the unique qualities of handcrafted art, ensuring that technological progress enhances rather than compromises artistic integrity.

Recommended Citation

Ortega, J. H. J., Alix, A., Yu, W., Lagman, A., & Dorongon, V. D. (2026). Generative AI in Multimedia Arts Courses: Benefits and Limitations. Lecture Notes in Networks and Systems, 103-113. https://doi.org/10.1007/978-981-96-8399-4_10
J. H. J. Ortega, A. Alix, W. Yu, A. Lagman, and V. D. Dorongon, "Generative AI in Multimedia Arts Courses: Benefits and Limitations," Lecture Notes in Networks and Systems, pp. 103-113, 2026. doi: 10.1007/978-981-96-8399-4_10.
Ortega, John Heland Jasper, et al.. "Generative AI in Multimedia Arts Courses: Benefits and Limitations." Lecture Notes in Networks and Systems, 2026, pp. 103-113. https://doi.org/10.1007/978-981-96-8399-4_10.
Ortega, J. H. J., Alix, A., Yu, W., Lagman, A., & Dorongon, V. D.. 2026. "Generative AI in Multimedia Arts Courses: Benefits and Limitations." Lecture Notes in Networks and Systems: 103-113. https://doi.org/10.1007/978-981-96-8399-4_10.

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