Immersive Islamic History Learning: Analyzing Holographic Technology Acceptance and the Potential of Artificial Intelligence (AI) Integration Among the Digital Generation

Authors

  • Nur Muizz Mohamed Salleh
  • Nur Aisya Insyira Manaf Faculty of Creative Multimedia and Computing, Selangor Islamic University, Selangor
  • Mus'ab Khalili Rosli Faculty of Creative Multimedia and Computing, Selangor Islamic University, Selangor

DOI:

https://doi.org/10.53840/e-jpi.v13i2.423

Keywords:

Holographic Display, Digital Pedagogical Innovation, Islamic History, Technology Acceptance

Abstract

Technological innovations in broadcast media have opened new dimensions in the delivery of educational content, aligning with the needs of the digital generation and the era of Artificial Intelligence (AI). This study aims to analyze the level of acceptance among a specific cohort of Higher Education Institution (HEI) students regarding the use of holographic technology as an innovative medium in learning Islamic History, while exploring its potential as a foundation for interactive AI-driven learning agents. Employing a quantitative methodology with a descriptive survey approach, 116 students participated in this study. Respondents were exposed to 13 episodes of the television program "Halaqah 2024" which applied holographic technology, before completing an online questionnaire measuring Perceived Usefulness (PU), Perceived Ease of Use (PEOU), Attitude Toward Using (ATU), and Behavioral Intention (BI). The analysis revealed highly positive acceptance levels regarding usefulness (Mean=3.97), ease of use (Mean=3.85), and attitude toward the innovation (Mean=4.01). However, reliability analysis uncovered a behavioral anomaly in BI; while students demonstrated high personal commitment to using the technology (Mean=4.08), they were hesitant to recommend it to peers (Mean=3.15). Critical discussion suggests this discrepancy is influenced by individual learning styles and accessibility limitations of 2D screen projections. This study suggests that holographic visual displays hold immense potential as digital pedagogical tools and underscores the necessity of integrating Generative AI to create fully immersive historical learning environments in the future.

Downloads

Download data is not yet available.

References

Alaidaros, M., & Mohamad, S. H. (2025). Hologram technology in education: A systematic review of applications, impacts, and implementation challenges [Preprint]. Research Square. https://doi.org/10.21203/rs.3.rs-7765975/v1

Almalki, S., Alqarni, A., & Alshammari, S. (2020). Challenges of teaching Islamic history in the modern digital era. Journal of Education and Learning, 9(4), 112–120. https://doi.org/10.5539/jel.v9n4p112

Baidoo-Anu, D., & Owusu Ansah, L. (2023). Education in the era of generative artificial intelligence (AI): Understanding the potential benefits of ChatGPT in promoting teaching and learning. Journal of AI, 7(1), 52–62. https://doi.org/10.61969/jai.1337500

Bhattacharya, P., & Singh, R. (2024). Extending the Technology Acceptance Model for virtual and holographic learning environments. Computers & Education, 208, 104930. https://doi.org/10.1016/j.compedu.2023.104930

Chen, X., Wang, L., & Zhao, Y. (2024). Generative AI and immersive technologies: Convergence in modern educational paradigms. International Journal of Artificial Intelligence in Education, 34(1), 45–67. https://doi.org/10.1007/s40593-023-00350-1

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008

Jantakoon, T., Jantakun, T., Jantakun, K., Trisupakitti, S., & Pasmala, P. (2025). Technology acceptance model of immersive microlearning in STEAM education: Insights from a PLS-SEM analysis. Higher Education Studies, 15(4), 85–98. https://doi.org/10.5539/hes.v15n4p85

Kim, J., & Lee, H. (2024). Cognitive load and engagement in 3D holographic versus 2D video learning. Educational Technology Research and Development, 72(1), 215–235. https://doi.org/10.1007/s11423-023-10255-8

Lopez, M., Chen, Y., & Smith, J. (2025). From static avatars to conversational agents: Integrating large language models in history education. British Journal of Educational Technology, 56(2), 340–358. https://doi.org/10.1111/bjet.13450

Ouyang, F., Zheng, L., & Jiao, P. (2023). Artificial intelligence in online higher education: A systematic review of empirical research from 2011 to 2020. Education and Information Technologies, 28(7), 7849–7881. https://doi.org/10.1007/s10639-022-11440-3

Prensky, M. (2001). Digital natives, digital immigrants. On the Horizon, 9(5), 1–6. https://doi.org/10.1108/10748120110424816

Schwab, K. (2016). The fourth industrial revolution. Crown Business.

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478. https://doi.org/10.2307/30036540

Wang, X., & Zheng, Y. (2024). The illusion of immersion: Evaluating student perceptions of pseudo-holograms on 2D flat screens. Interactive Learning Environments, 32(4), 1890–1905. https://doi.org/10.1080/10494820.2023.2185670

Downloads

Published

31-08-2026

Issue

Section

International Conference on AI & Digital Innovations 2026

How to Cite

Immersive Islamic History Learning: Analyzing Holographic Technology Acceptance and the Potential of Artificial Intelligence (AI) Integration Among the Digital Generation. (2026). E-Jurnal Penyelidikan Dan Inovasi, 13(2), 188-195. https://doi.org/10.53840/e-jpi.v13i2.423

Similar Articles

1-10 of 119

You may also start an advanced similarity search for this article.

Most read articles by the same author(s)