Innovations in Education

Abstract

As the digital revolution transforms education, Explainable AI (XAI) plays a key role in advancing educational intelligence. This chapter examines how XAI is reshaping education by making machine learning processes transparent. Unlike traditional AI's “black boxes,” XAI clarifies how algorithms make recommendations, assessments, and personalized learning pathways. This transparency helps educators understand and trust AI tools, making them effective partners in education. The chapter also explores XAI's practical uses in adaptive learning platforms and intelligent tutoring systems, showing how XAI's clarity can enhance learning environments. It allows educators to address biases, customize strategies, and track outcomes more precisely. Through real-world case studies and theoretical insights, the chapter illustrates how XAI bridges advanced technology with teaching practices, promoting a more transparent and equitable educational system.

Ähnliche Arbeiten