ArticleJournal of religion and health2026
The Role of AI and Voice-Activated Technology in Religious Education in China: Capturing Emotional Depth for Deeper Learning.
Article in Journal of religion and health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
2 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Empowerment or dependency? A systematic review of the impacts of intelligent assessment and generative AI on learners' self-beliefs and cognitive agency in music education.Frontiers in psychology · 2026Pooled it
- Religious Concerns about the Integration of Artificial Intelligence into Clinical Medicine and Patient Care.Journal of religion and health · 2026Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.