Meta-Analysis of Artificial Intelligence Studies in Education from 2018 to 2025

Abstract

With the assistance of artificial intelligence, which simulates human cognitive processes to draw conclusions and make predictions, computer systems can provide personalized guidance, support, and feedback to both students and teachers throughout the educational process. Consequently, this study aims to review global research on artificial intelligence in education from 2018 to 2025, with the goal of developing a comprehensive model. To achieve this, the selection and review of studies were conducted using the meta-synthesis method, which encompasses seven essential steps. A total of 37 studies, presented by various scholars and comparable in nature, were analyzed. From these studies, four main categories were identified: applications of AI, benefits of AI, the impact of AI on the educational process, and challenges associated with AI. Additionally, 45 sub-themes were extracted, ultimately leading to the development of an integrated model. The findings indicate that among the identified categories, the benefits of AI, with 22 sub-themes, received the most mentions in the reviewed literature. This was followed by AI applications in education, which had 10 sub-themes; the impact of AI on the educational process, with 8 sub-themes; and AI challenges, which included 5 sub-themes. Based on these results, AI emerges as a transformative technology with the potential to significantly enhance the education system, warranting special attention in the current era.

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