Artificial Intelligence and the Future of Learning: the Impact of AI Inclusion on Instructional Processes, Student Learning, and Performance Efficiency

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Authors: Ali Muhammad
Cited by: 1
References: 1

Abstract

This study examines the multifaceted impact of Artificial Intelligence (AI) on education, focusing on its roles in learning, instruction, and administration. Utilizing a qualitative, literature-based methodology, the research synthesizes findings from over thirty peer-reviewed studies to evaluate AI’s evolving function from a supportive tool to a strategic agent in educational transformation. Results reveal that AI enhances administrative efficiency, enables personalized and adaptive instruction, and improves learner engagement through intelligent systems, virtual simulations, and data-driven feedback. While challenges such as ethical risks and equity gaps persist, the overall evidence supports the conclusion that AI significantly improves educational quality and performance when responsibly implemented. The study contributes to the growing discourse on AI-enhanced education and proposes avenues for future innovation, including emotion-aware systems and creativity-driven learning environments.

Fields of Study & Subjects

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

Publication details

Journal / source
International Journal of Educational Research Review
Publisher
International Journal of Educational Research Review
Volume
11
Issue
2
Pages
53–65
Publication date
6 April 2026
Language
EN