Integration of Artificial Intelligence in Virtual Reality-Based Learning

Authors

  • Achmad Shabir Universitas Negeri Makassar, Department of Elementary School Education, Makassar, Indonesia Author
  • Herwin Herwin Universitas Negeri Yogyakarta, Department of Elementary School Education, Yogyakarta, Indonesia Author
  • Asriadi Asriadi Universitas Negeri Makassar, Department of Elementary School Education, Makassar, Indonesia Author
  • Riana Nurhayati Universitas Negeri Yogyakarta, Department of Elementary School Education, Yogyakarta, Indonesia Author
  • Lantip Diat Prasojo Universitas Negeri Yogyakarta, Department of Elementary School Education, Yogyakarta, Indonesia Author
  • Shakila Che Dahalan Universiti Pendidikan Sultan Idris, Department of History, Tanjong Malim, Malaysia Author

DOI:

https://doi.org/10.56294/dm2025859

Keywords:

Artificial Intelligence, Virtual Reality, Learning Outcomes, Elementary School

Abstract

The integration of Artificial Intelligence (AI) and Virtual Reality (VR) in education presents a promising opportunity to create immersive and adaptive learning environments, but research on the integration of both is very rare for the case of elementary school education. Most studies only focus on the standalone study of one of the technologies. The research focuses on analyzing the impact and relationship between the integration of AI in VR learning environments over time, hence it will employ longitudinal data collection and time series analysis to understand trends and patterns. The research subjects for this study were fifth grade elementary school students, aged between 11 and 12 years. This research involves observation and data collection in the form of learning outcome tests at several points in time to determine how the integration of AI and VR develops in the classroom and affects learning outcomes. Data was analyzed using trend analysis with a time series approach. The results of the study show that the integration of AI in VR-based learning gives a positive trend to student learning outcomes. The research findings show that the Quadratic Trend Model (QTM) is the most accurate model for measuring student learning outcome trends.

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2025-03-19

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1.
Shabir A, Herwin H, Asriadi A, Nurhayati R, Diat Prasojo L, Che Dahalan S. Integration of Artificial Intelligence in Virtual Reality-Based Learning. Data and Metadata [Internet]. 2025 Mar. 19 [cited 2025 Nov. 30];4:859. Available from: https://dm.ageditor.ar/index.php/dm/article/view/859