A Study of the Impact of Artificial Intelligence-Based Teaching Training on the Mental Health of Teachers

Rubi Singh and Ankit Kumar Singh

International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2026, vol. 12, issue 4, 01-17

Abstract: Artificial Intelligence (AI) is transforming education by enhancing teaching, learning, and administrative processes. As teachers increasingly participate in AI-based teaching training, understanding its impact on their mental health has become essential. This study examines the influence of AI-based teaching training on the mental health of teachers using a descriptive survey method. Data were collected from 100 teachers through a self-developed AI Awareness Questionnaire and a standardized Mental Health Scale. The data were analyzed using percentage, mean, standard deviation, t-test, and Pearson's correlation coefficient. The findings revealed that most teachers possessed moderate to high AI awareness and satisfactory mental health. A positive correlation (r = 0.68) was observed between AI competency and mental health, indicating that greater AI competency is associated with improved confidence and psychological well-being. No significant gender difference was found in mental health outcomes. The study concludes that AI-based teaching training positively contributes to teachers' professional confidence, adaptability, and overall mental well-being, highlighting the need for continuous AI training and institutional support.

Keywords: Artificial Intelligence; AI-Based Teaching Training; Teachers; Mental Health; AI Competency; Teacher Professional Development; Educational Technology; Psychological Well-being (search for similar items in EconPapers)
Date: 2026
Note: Article URL: https://ijsrcseit.com/home/article/view/CSEIT26123394
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Persistent link: https://EconPapers.repec.org/RePEc:jbh:ijsrcs:v12:y2026:i4:id:2103

DOI: 10.32628/CSEIT26123394

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