Artificial Intelligence in Education: Analysis of its Applications, Benefits, and Ethical Challenges

Abstract

Artificial Intelligence (AI) is transforming modern education through tools that personalize learning, automate assessment, and promote inclusion. This expanded research explores in depth the main applications of AI in education, including personalized learning, automated assessment and feedback, educational content creation, and inclusion and accessibility—incorporating recent findings (from the last five years) and relevant case studies.
It also analyzes the associated benefits (such as increased efficiency, adaptation to individual needs, and improved learning outcomes) as well as the ethical and technical challenges involved in its implementation. Among these challenges are resistance to change and the need for teacher training, algorithmic bias, data privacy and protection, and the urgency of having clear policies and regulations.
The reviewed literature, composed of peer-reviewed scientific articles, academic reports, and case studies, is critically integrated, highlighting the contributions and limitations of each source. Overall, the evidence shows that ethical and equitable adoption of AI is a key factor in maximizing its benefits and minimizing risks, paving the way toward a more efficient and inclusive educational system. The study concludes by proposing future lines of research and recommendations for the responsible implementation of AI in educational environments.