Trends in Artificial Intelligence and Educational Technology: A Systematic Analysis

The faster evolution of artificial intelligence (AI) is changing the field of education by making teaching and learning more personalized, adaptive, and data-driven. As AI gets further integrated into educational technologies (EdTech), student engagement is enhanced by chatbots, VR/AR, intelligent tutors, and ML algorithms, boosting academic achievement and the development of reasoning skills. This change was faster during the COVID-19 pandemic because of the greater emphasis on the role of technology in education, its possibilities, and shortcomings. At the same time, there is increased use of AI-powered technologies in education, and the more prominent ethical issues these technologies pose are algorithmic discrimination, data security, and the implications of systems’ autonomy in making judgments. This research examines the effects of Artificial Intelligence (AI) on Education within the years 2021 - 2025, utilizing a systematic literature review (SLR) and bibliometric analysis through the VOSviewer software. Results delineate dominant research clusters and depict a shift from examining general applications of technology to more nuanced, emerging advancements like contrastive learning and adversarial techniques. The research draws attention to implementing AI in education responsibly while outlining further steps in research and policymaking to ensure educational AI is used to its fullest potential while protecting academic accessibility and institutional neutrality.