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Artificial Intelligence as a Catalyst for Educational Innovation and Equity

Author: Dr. B. ANUJA BEATRICE and HARSHAVARTHINI G

Published On: 2026-03-10

Abstract

Artificial Intelligence (AI) is revolutionizing education by tackling key challenges and offering innovative solutions for teaching, learning, and administration. This paper explores AI's impact on education, highlighting its ability to create personalized learning, improve accessibility, and enhance administrative efficiency. AI tools like intelligent tutoring systems and adaptive learning platforms offer tailored instruction, boosting engagement and outcomes. Technologies such as natural language processing (NLP) and gamification improve inclusivity and motivation, creating immersive learning environments for diverse students. AI also streamlines administrative tasks like grading and resource allocation, allowing educators to focus on mentoring and innovative teaching methods. Advanced analytics and predictive models enable early interventions for at-risk students, supporting their success and well-being. However, AI integration in education faces challenges, including ethical issues, algorithmic biases, and resource limitations in underserved areas. This research highlights the need for equitable, transparent AI systems and responsible policies to address these concerns. Emerging technologies like generative AI and blockchain could further transform education by democratizing access and enhancing security. While AI's role in education is significant, a hybrid model combining AI-driven efficiencies with traditional teaching's human touch is most promising. This study stresses the importance of stakeholder collaboration to fully realize AI's potential, creating a more inclusive and effective global education system.

Keywords :  AI in Education ,Educational Technology, EdTech   ,Artificial Intelligence Education , AI-powered Learning

 

Keywords
  AI in Education Educational Technology EdTech   Artificial Intelligence Education AI-powered Learning  
Article Information
Volume

9

Year

2026

Review Rounds

1

Article Type

Research Article

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