Integration of Artificial Intelligence in Virtual Reality-Based Learning

Achmad Shabir, Herwin Herwin, Asriadi Asriadi, Riana Nurhayati, Lantip Diat Prasojo and Shakila Che Dahalan

Data and Metadata, 2025, vol. 4, 859

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.

Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:dbk:datame:v:4:y:2025:i::p:859:id:1056294dm2025859

DOI: 10.56294/dm2025859

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