A Systematic Review of Emerging Trends in Education: Exploring the Risks and Benefits of Generative Artificial Intelligence Applications

Abstract

The swift advancement of Generative Artificial Intelligence in education offers new possibilities but also raises concerns regarding inequality and the integrity of academic practices. This study examines its impact, trends, and risks in education by conducting an extensive review of existing academic literature in this area. Methodology employed includes a systematic review using the Scopus platform, with documentary analysis conducted using descriptive statistics, systematic content analysis, as well as bibliometric analysis of citation, co-citation, and co-words in scientific research on the topic. Network maps were generated using VOSviewer, and graphs were created using Microsoft Excel. Qualitative content analysis was further deepened using Atlas.ti 24. It is concluded that artificial intelligent generative, as a set of information processing tools, has significantly advanced in the last century, particularly notable for its ability to process information quickly and adapt to human objectives. Its rapid adaptation is transforming education and emphasizing the importance of addressing associated risks. The focus is on commercial, collaborative, and natural language strategies, surpassing other applications in images and videos. However, machines lack human social perception, highlighting the need to reflect on the boundaries and ethics in the use of AI in the linguistic domain.