Abstract
Applications of artificial intelligence have grown to be one of the most important and well-known targets for nations in the modern era, particularly in the education sector. This is because these technologies have the potential to boost productivity and help the sector develop quickly by presenting scientific information to students in an appealing manner. To explore the link between latent variables, structural equation modeling is done using the partial least square technique structural equation model (PLS-SEM) with the help of Smart PLS. The intent of this investigation is to offer empirical support and explain the variables that may influence the adoption of artificial intelligence in higher education. The finding suggests that the hedonic, gamification, and motivational factors, as well as the convenience and efficiency factors, all have a significant impact on the adoption of artificial intelligence in India, like Chat GPT.
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