Gamified Teaching Scenario Simulation System Built Based on Unity Engine and Particle System

Abstract

Real-time semantic visualization plays an increasingly important role in immersive training environments and interactive engineering simulations, where stable dynamic rendering is also valuable for the visualization of electromagnetic field evolution and propagation processes. This study presents a gamified teaching scenario simulation system based on the Unity engine and a particle system, integrating learner behavior modeling, exponentially weighted moving average (EWMA) smoothing, semantic parameter mapping, and GPU-driven parallel rendering into a closed-loop visual feedback framework. A ScriptableObject-based semantic mapping strategy dynamically associates learning states with particle attributes, while ComputeBuffer and Visual Effect Graph enable efficient real-time visualization with consistent temporal behavior. Experimental results demonstrate that the proposed system maintains frame rates between 56.3 and 59.8 fps with an average feedback latency of 45.57 ms, significantly improves semantic mapping consistency, and enhances user immersion and interaction satisfaction across multiple teaching scenarios. By providing temporally coherent and semantically adaptive visual feedback, the proposed framework offers a scalable solution for intelligent visualization systems and provides methodological support for interactive representation and analysis of complex electromagnetic phenomena, virtual engineering environments, and digital training platforms.