Future Trends and Innovations in AI-Powered Education

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Authors: Debaditya Kundu, Krishnendu Ghosh
Cited by: 0
References: 47

Abstract

Artificial Intelligence is transforming education through personalized learning, intelligent tutoring, automated assessments and predictive analytics. AI tools enhance engagement, adapt content to learners' needs and ease educators' workload by automating routine tasks. Intelligent Tutoring Systems offer real-time support and AI-driven grading improves efficiency and fairness. However, AI integration poses challenges, including data privacy, algorithmic bias and ethical issues in automated decisions. The digital divide also limits access to AI tools in underserved areas due to economic and infrastructure gaps. This chapter explores trends and innovations in AI-driven education, discussing real-world applications, key technologies like machine learning, natural language processing and learning analytics. Ethical considerations and future directions are also examined. By analyzing current advancements and limitations, this chapter offers insights for educators, researchers, and policymakers to effectively use AI in creating inclusive, efficient and adaptive learning environments.

Fields of Study & Subjects

Artificial Intelligence in Education Intelligent Tutoring Systems and Adaptive Learning Artificial Intelligence in Healthcare and Education

Publication details

Journal / source
Advances in computational intelligence and robotics book series
Pages
439–470
Publication date
27 February 2026
Language
EN
Document type
Book chapter