Generative Artificial Intelligence and Mental Well-Being of University Students. A Structural Equation Modeling (SEM) Based- Analysis

The emergence and application of generative artificial intelligence (GAI), typified as ChatGPT and others have the potential for significant impact on the mental well-being. However, there is currently a lack of systematic research on GAI on mental well-being particularly among university students in Kenya. The purpose was to conduct an exploratory study on the relationship between generative artificial intelligence and mental well-being (MWB) among university students in Kenya. The study used convenience sampling technique. The data was collected from 458 respondents using a structured, closed-ended, self-administered questionnaire. It was analyzed through partial least squares structural equation modeling (PLS-SEM), which is frequently used for prediction models. The model was further checked for goodness-of-fit using Amos. The findings of this study establishes that generative artificial intelligence has a positive and significant influence on mental well-being (β = 0.129, t = 1.997, p < 0.046) among university students. These revelations contribute to the discourse on technology-enhanced education, showing that embracing GAI can have a positive impact on student mental well-being. The study recommends the university administrators to prioritize investment in generative artificial intelligence technologies with the view of enhancing students’ mental wellbeing as they undergo their university education.