Author(s)

Muhe Guo

Corresponding Author

Muhe Guo

Abstract

The integration of Artificial Intelligence (AI) in education has significantly transformed teaching and learning practices, reshaping classrooms, homeschooling, and administrative processes. AI applications, including intelligent tutoring systems, adaptive personalized learning platforms, AI-powered tutoring assistants, and administrative automation tools, have enhanced learning efficiency, engagement, and accessibility for diverse learners. Real-world implementations, such as Khanmigo, Miko, Knewton, Carnegie Learning, and Gradescope, demonstrate measurable improvements in student performance, teacher productivity, and cost-effective education delivery. Furthermore, AI facilitates inclusion by bridging linguistic, visual, and socio-economic barriers. However, the widespread adoption of AI also raises ethical challenges, including data privacy concerns, algorithmic bias, and the exacerbation of the digital divide. While AI offers unprecedented opportunities for personalized, engaging, and efficient education, policymakers, educators, and developers must collaboratively ensure equitable, responsible, and effective implementation. This paper provides an overview of AI’s transformative influence on modern education, highlighting both its benefits and critical challenges for future learning environments.

Keywords

Artificial Intelligence (AI); Education Technology; Personalized Learning; Intelligent Tutoring Systems; Educational Accessibility; AI Ethics