The Role of AI and Voice-Activated Technology in Religious Education in China: Capturing Emotional Depth for Deeper Learning.

Integrating artificial intelligence (AI) in religious education is an emerging area of research. This study explores the potential of AI and voice-activated technologies in capturing the emotional depth of chanting during spiritual practices. The study used pre-trained voice recognition models combined with deep learning to analyze vocal characteristics. The objective of the research was to develop AI algorithms for analyzing vocal characteristics and assessing the emotional states of practitioners. For this purpose, 110 first- and second-year Chinese university students majoring in vocal performance were involved. The students were divided into experimental (trained with the help of AI) and control groups (trained traditionally). The study used the correlation analysis method. The Spielberger State-Anxiety Inventory, the Positive and Negative Affect Schedule (PANAS), and the Perceived Stress Scale (PSS) were used to measure emotional states. Participants trained with AI-assisted tools demonstrated significant improvement in their voices' intonation, volume, timbre, and frequency spectrum, as well as increased calmness. Compared to the control group that did not use AI technologies, these improvements were statistically significant. Correlation analysis confirmed a strong relationship between vocal parameters and participants' emotional states. This research highlights the effectiveness of AI in religious education and opens new avenues for enhancing educational processes by providing participants with objective feedback on their spiritual practices.