A Review of Al-Based Tools for Optimizing the Teaching Process

The application of AI in education is changing the education process with the introduction of personalized learning, intelligent assessment, and data-driven decisions. This review provides a comprehensive synthesis of the literature between ۲۰۱۸ and ۲۰۲۵ to better understand AI's uses, effects on teaching and learning, ethical considerations, and research directions. Based on systematic reviews and original research, we examine several key technologies, such as intelligent tutoring systems, adaptive learning platforms, and automated grading tools that customize learning while also making efficient the work of teaching. The review also considers questions of algorithmic bias, privacy and equitable access, and concludes with thoughts on the importance of strong ethical foundations. Current research trajectories emphasize a focus on system design and academic effects, but there are underexplored aspects such as generative AI and underrepresented educational settings. By articulating these gaps and suggesting next steps, this article alerts educators, researchers, and policymakers about the transformational power of AI and urges responsible uptake to strive toward equitable and inclusive education.

کلیدواژه ها:

Artificial Intelligence ، Education ، Intelligent Tutoring Systems ، Personalized Learning