Reimagining Culture and Arts Education through the Integration of Artificial Intelligence and the Sixth Industrial Revolution: Demands, Challenges, and Future Implications

Authors

  • Almighty Cortezo Tabuena College of Humanities and Psychosocial Sciences, Oceania Polytechnic and Technological University, Niue, College of Arts and Sciences, Pamantasan ng Lungsod ng Valenzuela, Philippines

DOI:

https://doi.org/10.6000/2817-2310.2025.04.07

Keywords:

Arts, artificial intelligence, culture, education, sixth industrial revolution

Abstract

This scoping review explores the demands and integration of Artificial Intelligence (AI) and the Sixth Industrial Revolution (IR 6.0) in culture and arts education. It maps existing literature to understand how these technological advancements reshape educational practices, enhance creativity, and prepare learners for a rapidly evolving digital society. Anchored in Technological Determinism and Social Constructivism, the study investigates five key research questions on AI and IR 6.0 demands, integration challenges, alignment strategies, and educational implications. Findings highlight the transformative potential of AI in delivering personalized learning, fostering creativity, preserving cultural heritage, and facilitating immersive experiences through virtual and augmented reality. Likewise, IR 6.0 demands integration of digital tools, blended learning, interdisciplinary approaches, and sustainability. However, challenges such as resistance to change, limited expertise, unequal access to technology, and ethical concerns persist. The review underscores the need for proactive strategies including project-based learning, equitable access, ethical AI use, and continuous teacher training. It concludes that AI and IR 6.0, if harnessed responsibly, can enrich culture and arts education. Gaps in long-term impact studies, ethics, access, and student perceptions are identified, with recommendations for future research to foster inclusive, innovative, and future-ready educational practices.

References

Ajibade, O. O., Leon-Gomez, R., Tabuena, A. C., Alase, P. O., Huaman, J. T., Adediran, A. O., & Ayaz, M. (2023, June). New Insights into the Research of Social Media Marketing and Consumer Behaviour: A Scientometric Analysis of a Decade. In 2023 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS) (pp. 143-148). IEEE. DOI: https://doi.org/10.1109/I2CACIS57635.2023.10193399

Ajibade, S. S. M., Issa, B., Jasser, M. B., Hassan, F., ALDharhani, G. S., Al-Hadi, I. A. A. Q., ... & Tabuena, A. C. (2024, August). A Bibliometric Analysis and Research Landscape of Artificial Intelligence in Education. In 2024 IEEE 14th International Conference on Control System, Computing and Engineering (ICCSCE) (pp. 304-309). IEEE. DOI: https://doi.org/10.1109/ICCSCE61582.2024.10696051

Albakry, N. S., Hashim, M. E. A., & Puandi, M. F. (2025). The Integration of AI in Design Thinking for Enhancing Student Creativity and Critical Thinking in Digital Media Learning. Semarak International Journal of Creative Art and Design, 4(1), 24-37. DOI: https://doi.org/10.37934/sijcad.4.1.2437

Anderson, J., & Lee, S. (2022). Artificial intelligence in education: Transforming teaching and learning.

Arksey, H., & O'malley, L. (2005). Scoping studies: towards a methodological framework. International journal of social research methodology, 8(1), 19-32. DOI: https://doi.org/10.1080/1364557032000119616

Attaluri, V., & Mudunuri, L. N. R. (2025). Generative AI for Creative Learning Content Creation: Project-Based Learning and Art Generation. In Smart Education and Sustainable Learning Environments in Smart Cities (pp. 239-252). IGI Global Scientific Publishing. DOI: https://doi.org/10.4018/979-8-3693-7723-9.ch014

Bequette, J. W., & Bequette, M. B. (2012). A place for art and design education in the STEM conversation. Art education, 65(2), 40-47. DOI: https://doi.org/10.1080/00043125.2012.11519167

Billinghurst, M., Clark, A., & Lee, G. (2015). others,“. A survey of augmented reality,” Foundations and Trends R in Human–Computer Interaction, 8(2-3), 73-272. DOI: https://doi.org/10.1561/1100000049

Bravo, C. D., Dimalanta, F. D., Jusay, K. A., Vitug, M. Y., & Tabuena, A. (2022). Inclination state on the Philippine culture and arts using the appraisal theory: Factors of progress and deterioration. Participatory Educational Research, 9(1), 388-403. DOI: https://doi.org/10.17275/per.22.21.9.1

Briot, J. P., Hadjeres, G., & Pachet, F. D. (2020). Deep learning techniques for music generation (Vol. 1). Heidelberg: Springer. DOI: https://doi.org/10.1007/978-3-319-70163-9

Cai, Y. (2025). Integrating Machine Learning in Art Education: Research Framework and Theoretical Analysis Approach. International Journal of Advanced Research and Interdisciplinary Scientific Endeavours, 2(3), 537-542. DOI: https://doi.org/10.61359/11.2206-2515

Dewey, J. (1986, September). Experience and education. In The educational forum (Vol. 50, No. 3, pp. 241-252). Taylor & Francis Group. DOI: https://doi.org/10.1080/00131728609335764

Eisner, E. W. (2003). The arts and the creation of mind. Language arts, 80(5), 340-344. DOI: https://doi.org/10.58680/la2003322

Fischer, C. S. (1987). The social construction of technological systems; new directions in the sociology and history of technology. Science, 238(4830), 1152-1154. DOI: https://doi.org/10.1126/science.238.4830.1152

Gioti, A. M. (2020). From artificial to extended intelligence in music composition. Organised Sound, 25(1), 25-32. DOI: https://doi.org/10.1017/S1355771819000438

Gîrbacia, F. (2024). An analysis of research trends for using artificial intelligence in cultural heritage. Electronics, 13(18), 3738. DOI: https://doi.org/10.3390/electronics13183738

Gupta, M. S., & Nitu Kumar, D. V. R. (2024). AI and Teacher Productivity: A Quantitative Analysis of Time-Saving and Workload Reduction in Education.

Harisanty, D., Obille, K. L. B., Anna, N. E. V., Purwanti, E., & Retrialisca, F. (2024). Cultural heritage preservation in the digital age, harnessing artificial intelligence for the future: a bibliometric analysis. Digital Library Perspectives, 40(4), 609-630. DOI: https://doi.org/10.1108/DLP-01-2024-0018

Jones, M., Neumayer, C., & Shklovski, I. (2023, April). Embodying the algorithm: exploring relationships with large language models through artistic performance. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (pp. 1-24). DOI: https://doi.org/10.1145/3544548.3580885

Katal, A., Upadhyay, J., & Singh, V. K. (2023). Blended learning in COVID-19 era and way-forward. In Sustainable Blended Learning in STEM Education for Students with Additional Needs (pp. 55-85). Singapore: Springer Nature Singapore. DOI: https://doi.org/10.1007/978-981-99-3497-3_4

Karamuk, E. (2025). The Automation Trap: Unpacking the Consequences of Over-Reliance on AI in Education and Its Hidden Costs. In Pitfalls of AI Integration in Education: Skill Obsolescence, Misuse, and Bias (pp. 151-174). IGI Global Scientific Publishing. DOI: https://doi.org/10.4018/979-8-3373-0122-8.ch007

Ke, M. F. (2023). Applications and challenges of artificial intelligence in the future of art education. Pacific International Journal, 6(3), 61-65. DOI: https://doi.org/10.55014/pij.v6i3.405

Khatoon, R. (2025). AI-Powered Task-Based Learning for Cross-Border Higher Education. In Bridging Global Divides for Transnational Higher Education in the AI Era (pp. 141-164). IGI Global Scientific Publishing. DOI: https://doi.org/10.4018/979-8-3693-7016-2.ch007

Kwon, H., & Morrill, K. (2022). Virtual reality: Immersive and situated art education with 360-degree cameras, and augmented and virtual reality technology. Art Education, 75(4), 27-32. DOI: https://doi.org/10.1080/00043125.2022.2053458

Liao, C. (2016). From interdisciplinary to transdisciplinary: An arts-integrated approach to STEAM education. ART education, 69(6), 44-49. DOI: https://doi.org/10.1080/00043125.2016.1224873

Luckin, R., & Holmes, W. (2016). Intelligence unleashed: An argument for AI in education.

Manovich, L. (2018). AI aesthetics (p. 7). Moscow: Strelka Press.

Morales, G. S., Perez, M. L. A. C., & Tabuena, A. C. (2024). Artificial Intelligence and the Integration of the Industrial Revolution 6.0 in Ethnomusicology: Demands, Interventions and Implications. Musicologist, 8(1), 75-107. DOI: https://doi.org/10.33906/musicologist.1286472

Muthuswamy, V. V. (2023). Empowering futures: A comprehensive study on university education, vocational skills, digital literacy, and career development synergies. Arts Educa, 36.

Nomula, V. K., Sivaprasad, K. I., Jalil, N. A., Maulana, F. I., Tabuena, A. C., & Paramasivan, P. (2024). Challenges and Potential Solutions Using IoT Applications in Smart Cities for COVID-19. In Optimizing Intelligent Systems for Cross-Industry Application (pp. 137-152). IGI Global. DOI: https://doi.org/10.4018/979-8-3693-8659-0.ch008

O'neil, C. (2017). Weapons of math destruction: How big data increases inequality and threatens democracy. Crown.

Patil, B. S., Baral, D., Samuel, S., Tabuena, A. C., & Sachan, V. S. (2025, February). Integrating Sustainable Development Goals (SDGs) into Corporate Marketing Strategies: A Technological Approach to Responsible Business. In 2025 First International Conference on Advances in Computer Science, Electrical, Electronics, and Communication Technologies (CE2CT) (pp. 920-923). IEEE. DOI: https://doi.org/10.1109/CE2CT64011.2025.10939092

Pavlov, A. F., Myakisheva, Y. V., & Rodionova, G. N. (2024). The use of adaptive learning technology in the educational process of higher education institutions. Izvestiya of the Samara Russian Academy of Sciences scientific center. Social, humanitarian, medicobiological sciences, 26(3), 70-76. DOI: https://doi.org/10.37313/2413-9645-2024-26-96-70-76

Peppler, K. A. (2010). Media arts: Arts education for a digital age. Teachers College Record, 112(8), 2118-2153. DOI: https://doi.org/10.1177/016146811011200806

Rabbi, F., Ayaz, M., Dayupay, J. P., Oyebode, O. J., Gido, N. G., Adhikari, N., ... & Bassey, M. A. (2022, July). Gaussian map to improve firefly algorithm performance. In 2022 IEEE 13th control and system graduate research colloquium (ICSGRC) (pp. 88-92). IEEE. DOI: https://doi.org/10.1109/ICSGRC55096.2022.9845171

Rochina Chisag, Á. G., & Tabuena, A. C. (2022). Online learning as an alternative learning modality in Ecuador’s education institutions amidst crises and outbreaks: A SWOT analysis. Journal of Learning for Development,9(3), 475-491. DOI: https://doi.org/10.56059/jl4d.v9i3.665

Schwab, K. (2016). The fourth industrial revolution. In World Economic Forum (Vol. 16).

Siddiqi, M. M. (2024). Future of digital education: inclusive, immersive, equitable. MediaSpace: DME Media Journal of Communication, 5(01), 8-24. DOI: https://doi.org/10.53361/dmejc.v5i01.02

Smith, M. R., & Marx, L. (Eds.). (1994). Does technology drive history?: The dilemma of technological determinism. Mit Press.

Song, M. J. (2020). The application of digital fabrication technologies to the art and design curriculum in a teacher preparation program: a case study. International Journal of Technology and Design Education, 30(4), 687-707. DOI: https://doi.org/10.1007/s10798-019-09524-6

Southward, D. (2018). The Metamodern Moment: Post-Postmodernism and its Effect on Contemporary, Gothic, and Metafictional Literatures (Doctoral dissertation, University of Sheffield).

Subramanian, M., Gupta, R. K., Jadhav, K. P., Tabuena, A. C., & Tabuena, Y. M. H. (2025, February). Reimagining Mythology with Virtual Reality: Postmodernist Techniques for Immersive Retellings in Educational Platforms. In 2025 First International Conference on Advances in Computer Science, Electrical, Electronics, and Communication Technologies (CE2CT) (pp. 858-861). IEEE. DOI: https://doi.org/10.1109/CE2CT64011.2025.10939597

Tabuena, A. C. (2020). Development and validation of a Philippine music achievement test in addressing the K to 12 music curriculum learning competencies. International Journal of Innovative Research and Development, 9(4), 16-25. DOI: https://doi.org/10.24940/ijird/2020/v9/i4/APR20009

Tabuena, A. C. (2022). Creative Expression on How Do Artists Communicate Their Message: An Arts in Development Article Critique. Asian Journal of Arts and Culture, 22(2), 257372-257372. DOI: https://doi.org/10.48048/ajac.2022.257373

Tabuena, A. C., Morales, G. S., & Perez, M. L. A. C. (2021). Music Assessment Techniques for Evaluating the Students' Musical Learning and Performance in the Philippine K-12 Basic Education Curriculum. Online Submission, 21(2), 192-203. DOI: https://doi.org/10.15294/harmonia.v21i2.32872

Tabuena, A. C. & Tabuena, Y. M. H. (2025). The Demands of Using Artificial Intelligence-Driven Software in Education Towards the Industrial Revolution 6.0: A Review of Studies. International Journal of Education, 8(1), 107-120.

Tabuena, A. C., & Vıllareal, E. G. (2024). Usefulness and challenges of clustered self-directed learning modules in entrepreneurship for senior high school distance learning. Turkish Online Journal of Distance Education, 25(1), 155-178. DOI: https://doi.org/10.17718/tojde.1143460

Tong, Y. (2024). Integration of artificial intelligence into the general education curriculum: Importance, approaches, challenges, and a conceptual framework for liberal arts universities. In INTED2024 Proceedings (pp. 7582-7589). IATED. DOI: https://doi.org/10.21125/inted.2024.2010

Tricco, A. C., Lillie, E., Zarin, W., O'Brien, K. K., Colquhoun, H., Levac, D., ... & Straus, S. E. (2018). PRISMA extension for scoping reviews (PRISMA-ScR): checklist and explanation. Annals of internal medicine, 169(7), 467-473. DOI: https://doi.org/10.7326/M18-0850

Vygotsky, L. S., & Cole, M. (1978). Mind in society: Development of higher psychological processes. Harvard university press.

Weisberg, L., Barrett, J., Israel, M., & Miller, D. (2025). A review of arts integration in K-12 CS education: gathering STEAM for inclusive learning. Computer Science Education, 35(1), 123-152. DOI: https://doi.org/10.1080/08993408.2024.2359854

Williamson, B., & Eynon, R. (2020). Historical threads, missing links, and future directions in AI in education. Learning, Media and Technology, 45(3), 223-235. DOI: https://doi.org/10.1080/17439884.2020.1798995

Wu, G., & Peng, Q. (2024). Bridging the digital divide: Unraveling the determinants of fintech adoption in rural communities. Sage Open, 14(1), 21582440241227770. DOI: https://doi.org/10.1177/21582440241227770

Wu, H. K., Lee, S. W. Y., Chang, H. Y., & Liang, J. C. (2013). Current status, opportunities and challenges of augmented reality in education. Computers & education, 62, 41-49. DOI: https://doi.org/10.1016/j.compedu.2012.10.024

Yonggang, L., Awang, H., & Mansor, N. S. (2025). An enhanced innovation resistance theory to measure the barriers of AI-based chatbots usage among teacher trainees. Journal of Theoretical and Applied Information Technology, 103(11).

Zhang, B., & Wang, L. (2025, June). Research on the Cultivation Mode of Continuing Education Innovative and Entrepreneurial Talents Based on AI Technology. In Proceedings of the 2025 4th International Conference on Educational Innovation and Multimedia Technology (EIMT 2025) (Vol. 38, p. 412). Springer Nature. DOI: https://doi.org/10.2991/978-94-6463-750-2_41

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Published

2025-11-21

How to Cite

Tabuena, A. C. . (2025). Reimagining Culture and Arts Education through the Integration of Artificial Intelligence and the Sixth Industrial Revolution: Demands, Challenges, and Future Implications. Global Journal of Cultural Studies, 4, 61–71. https://doi.org/10.6000/2817-2310.2025.04.07

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Articles