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Purpose

Generative artificial intelligence (GenAI) or large language models like ChatGPT (Chat Generative Pre-Trained Transformer) is revolutionising the online world with far-reaching implications for education. The purpose of this study is to determine existing trends in research with respect to GenAI in education and to describe future directions of research for its uptake and integration.

Design/methodology/approach

This study provides a detailed analysis of the major trends in literature, as well as the applications, benefits and challenges of adopting this technology in the education sector. PRISMA guidelines have been used to study past literature. This study used the theory, context, characteristics and methodology framework to determine the gaps and suggest areas for future studies. This study also used context, intervention, mechanism and outcome logic, which facilitates the development of prescriptive knowledge regarding the appropriate interventions to improve the quality of education.

Findings

The findings suggest that a crucial strategy is needed for effectively addressing practitioners’ concerns about providing timely and high-quality education.

Research limitations/implications

This study provides managerial implications for improving the GenAI adoption and implementation process efficiency, which can bring positive changes in the learning process in the education system.

Originality/value

This study provides a detailed analysis of GenAI and its impact on education.

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