Innovation and Practice of Virtual Reality Ideological and Political Classroom Teaching Based on Biosensing Technology to Enhance Immersion

Juan Xiang
Guangdong Women's Polytechnic, Guangzhou, 511450, China.

Abstract:

At present, virtual reality ideological and political classroom teaching has the problem of insufficient immersion. The main reason is that the existing Virtual Reality (VR) teaching content cannot be dynamically adjusted according to the students’ physiological and psychological state, resulting in low students’ concentration and emotional resonance. To solve this problem, this paper applies biosensing technology, uses physiological signals to control the virtual teaching environment in real-time, and adaptively optimizes the classroom experience. Based on this, a VR teaching system is constructed, integrating biosensors such as electroencephalography (EEG), electrooculography (EOG), and electrodermal activity (EDA) to realize physiological data collection and analysis. The machine learning algorithm analyzes the students’ concentration, cognitive load, and emotional state, and adjusts the teaching content presentation, interaction mode, and visual guidance based on the analysis results. A multimodal interaction system is designed to enhance classroom interaction by combining voice, gestures, eye movements, and other methods, and the system optimizes the interactive experience in real-time. The experimental results show that when the ? wave power of the subjects reaches above 0.45, their immersion score (1-5) generally exceeds 3.4; the concentration score (1-5) of the subjects whose eye movement duration exceeds 1200 milliseconds is higher than 4.0; the interactive experience score (1-5) of the subjects whose EDA change rate is lower than 0.10 is mostly above 3.6. The results verify the effectiveness of biosensing technology in enhancing immersive experience, provide a new technical path for improving the teaching quality of VR ideological and political classrooms, and expand the application value of intelligent perception technology in the field of education.