Using Artificial Intelligence in High School Education: A Review

This systematic review explores the integration of Artificial Intelligence (AI) in high school education, focusing on its impact, opportunities, and challenges. AI-driven tools—such as intelligent tutoring systems, adaptive learning platforms, and automated assessment applications—are increasingly employed to personalize instruction, enhance student engagement, and streamline administrative tasks. The review highlights the benefits of AI in promoting differentiated learning, improving academic outcomes, and supporting inclusive education by addressing diverse learning needs. It also underscores the pivotal role of AI in assisting teachers with data-driven insights and reducing workload, thereby enhancing instructional effectiveness. However, the study also reveals critical concerns, including ethical issues, data privacy, teacher preparedness, and the digital divide. Schools with limited infrastructure may struggle to adopt AI tools equitably, potentially widening existing educational disparities. Moreover, the lack of professional development for educators poses a barrier to effective AI integration. The findings emphasize the need for strategic, ethical, and inclusive implementation, guided by robust policies and stakeholder collaboration. Ultimately, this review contributes to the growing body of knowledge on AI in secondary education and offers evidence-based recommendations for educators, policymakers, and school leaders. It advocates for a balanced approach where AI complements—not replaces—human teaching, ensuring meaningful, equitable, and future-ready learning environments.