Book Chapter

·2025

Artificial Intelligence in Education

Betül Tonbuloğlu YTU

Advances in computational intelligence and robotics book series

Abstract

The use of AI in educational institutions is rapidly bringing changes in various aspects of learning, right from personalized learning tools, automated contents, enhanced testing methodologies, to specific help tools for physically disabled students. AI enhances classroom efficiency, accessibility, and learner focus by optimizing regular tasks, delivering real-time insights, and customizing resources to individual development. Moreover, it reduces teachers' chores by grading data and generating a lesson plan to quickly develop existing resources. However, apprehensions around student data security, latent biases in training datasets, and the ethical use of potent algorithms underscore the necessity for technology to be governed by explicit standards. This chapter juxtaposes a discussion of innovative applications with an examination of their limitations, providing educators, researchers, and school administrators with a pragmatic framework for leveraging AI.

Keywords

Grading (engineering) Plan (archaeology) Focus (optics) Applications of artificial intelligence Personalized learning Training set Computer science Artificial intelligence

Subject Areas

Intelligent Tutoring Systems and Adaptive Learning ·Artificial Intelligence ·Physical Sciences
Online Learning and Analytics ·Computer Science Applications ·Physical Sciences
Artificial Intelligence in Education ·Information Systems ·Physical Sciences

OpenAlex SDG Match

SDGs auto-classified by OpenAlex (score ≥ 0.4 shown).

Quality Education 80%