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Innovations in Education: Integrating Explainable AI Into Educational Intelligence
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Author(s): Shugufta Fatima (Stanley College of Engineering and Technology for Women, Hyderabad, India), C. Kishor Kumar Reddy (Stanley College of Engineering and Technology for Women, Hyderabad, India), Akshita Sunerah (City College of New York, USA)and Srinath Doss (Botho University, Botswana)
Copyright: 2025
Pages: 34
Source title:
Internet of Behavior-Based Computational Intelligence for Smart Education Systems
Source Author(s)/Editor(s): Mariya Ouaissa (Cadi Ayyad University, Morocco), Mariyam Ouaissa (Chouaib Doukkali University, Morocco), Hanane Lamaazi (College of Information Technology, UAE University, UAE), Mahmoud El Hamlaoui (Mohammed V University, Morocco)and Kishor Kumar Reddy C. (Stanley College of Engineering and Technology for Women, India)
DOI: 10.4018/979-8-3693-8151-9.ch002
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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.
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