Implementasi Artificial Intelligence Dalam Pendidikan: Systematic Literature Review Tahun 2024–2026

Abstract

Artificial Intelligence (AI) has emerged as one of the most influential technologies in transforming educational practices across different levels of learning. The rapid advancement of Generative AI, adaptive learning systems, learning analytics, and intelligent tutoring systems has significantly changed the way students and educators interact with learning resources. This study aims to analyze the implementation of Artificial Intelligence in education through a Systematic Literature Review (SLR) of scientific publications published between 2024 and 2026. The study adopted the PRISMA 2020 framework to identify, screen, and select relevant literature. A total of 26 journal articles met the inclusion criteria and were analyzed using thematic synthesis. The results indicate that AI has been widely implemented in personalized learning, academic assistance, adaptive learning environments, learning analytics, and intelligent tutoring systems. The primary benefits identified include improved learning effectiveness, increased student engagement, enhanced accessibility to educational resources, and support for data-driven educational decision-making. However, several challenges remain, including academic integrity concerns, privacy and data security issues, algorithmic bias, and excessive dependence on technology. The review concludes that AI has substantial potential to improve educational quality when supported by ethical implementation, effective governance, and balanced collaboration between human educators and intelligent systems.