Artificial Intelligence in Education: Systematic Review of Perspectives, Benefits and Challenges in Teaching Practice

ABSTRACT The objective of this systematic review is to analyze teachers' perspectives, benefits, and perceived challenges in the implementation of artificial intelligence (AI) in education from 2020 to 2024. The PRISMA model was used to select a total of 53 studies that met the inclusion criteria. Data were extracted and evaluated to synthesize teachers' perceptions, the pedagogical and administrative advantages of AI, and the main barriers to its adoption in the educational field. The analysis revealed that teachers value AI primarily for its ability to personalize learning and optimize administrative tasks; however, they also express ethical concerns about privacy and equity, as well as technical limitations related to infrastructure and insufficient training. Among the most prominent challenges are the lack of technical skills and skepticism toward technology in certain educational contexts. Although AI offers significant potential to enhance education, its success depends on a balanced integration that respects the teacher's role and promotes ethical and equitable implementation. This review highlights the need for educational policies that support continuous training and promote equal access to AI technologies.