MetaPortal: Business Intelligence and Machine Learning Approach for VR Data

Virtual reality (VR) is a technology that offers near real-world experiences in various fields. With the widespread use of virtual environments designed to provide VR experiences, the amount of data collected from these environments has increased rapidly. However, as the volume of data grows, there is a need to develop analysis processes and advance the data-driven development model. In this study, an application called MetaPortal was developed, utilizing personal characteristics, activity, location, and interaction data of users in the immersive learning environment of Manisa Celal Bayar University (MetaCBU). By employing business intelligence techniques and machine learning algorithms, the application can analyze the vast amount of VR data and classify users in MetaCBU based on their characteristics, activities, and interactions. This paper proposes a combination of business intelligence and machine learning approaches for VR data analysis and provides detailed information about the MetaPortal application developed in this context.