Systematic Review of Artificial Intelligence in Education: Trends, Benefits, and Challenges
Systematic Review of Artificial Intelligence in Education: Trends, Benefits, and Challenges
Juan Garzón,Eddy Patiño,C. Marulanda
TLDR
A systematic literature review of peer-reviewed empirical studies published between 2015 and 2025 reveals a significant increase in research activity since 2022, reflecting the impact of generative AI tools, such as ChatGPT.
Abstract
Artificial intelligence (AI) is changing how we teach and learn, generating excitement and concern about its potential to transform education. To contribute to the debate, this systematic literature review examines current research trends (publication year, country of study, publication journal, education level, education field, and AI type), as well as the benefits and challenges of integrating AI into education. This review analyzed 155 peer-reviewed empirical studies published between 2015 and 2025. The review reveals a significant increase in research activity since 2022, reflecting the impact of generative AI tools, such as ChatGPT. Studies highlight a range of benefits, including enhanced learning outcomes, personalized instruction, and increased student motivation. However, there are challenges to overcome, such as students’ ethical use of AI, teachers’ resistance to using AI systems, and the digital dependency these systems can generate. These findings show AI’s potential to enhance education; however, its success depends on careful implementation and collaboration among educators, researchers, and policymakers to ensure meaningful and equitable outcomes.
