Future of AI-based Applications in Education Sector: Challenges and Scope

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Authors: Nair M. K. Aparna, V. K. Vineeth
Cited by: 0

Abstract

Artificial Intelligence (AI) transforms education systems by enabling personalized learning systems that are adaptive and providing inclusive learning experiences. This chapter explores the evolution, current applications, emerging trends, and future opportunities of AI in education. Applications of different AI components in education, such as Intelligent Tutoring Systems and chatbots, and their significance in reshaping traditional teaching-learning are discussed. Models using emerging AI technologies like Generative AI, Emotion AI, etc., are detailed along with their significance in making education more engaging. The chapter also addresses significant challenges such as data privacy concerns, algorithmic bias, infrastructure limitations, pedagogical misalignment, and stakeholder resistance involved in AI-based educational systems. The chapter offers a strategic roadmap for policymakers and educators. With the right ethical frameworks, inclusive design, and robust infrastructure, AI can promote global education equity and lifelong learning. The integration of AI must be guided by human-centred principles to ensure that it supports rather than replaces the educators.

Fields of Study & Subjects

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

Publication details

Journal / source
CRC Press eBooks
Pages
77–94
Publication date
13 March 2026
Language
EN
Document type
Book chapter