Challenges and Applications of Artificial Intelligence in Education: A Systematic Review

Purpose: This study aims to explore the challenges and applications of artificial intelligence (AI) in education.Methodology: This qualitative research follows a systematic review approach based on the PRISMA protocol. The study examines scientific articles published in Persian (1399 to 1403) and English (2020 to 2024) within the domain of AI and education. Out of 480 reviewed articles, 34 were selected through a targeted approach based on inclusion criteria and analyzed using thematic analysis.Findings: The applications of AI in education encompass intelligent educational systems, adaptive learning, educational environment design, assistive technologies, automated evaluation and monitoring, and intelligent analysis. However, these applications face significant challenges, including over-reliance and passivity, algorithmic bias, ethical and security concerns, threats to teachers' mental well-being, and technical and specialized constraints.Conclusion: AI has the potential to revolutionize education by enabling personalized learning experiences, enhancing student engagement, and providing real-time feedback. Additionally, it facilitates efficient teaching methodologies, automates grading and assessment, and optimizes resource allocation. The integration of AI can significantly improve the quality of education.Value: This research contributes to bridging the knowledge gap regarding AI applications in education while identifying key challenges for educators and policymakers.