Abdulnassir Yassin, Herman Dwi Surjono, Anik Ghufron, Johnson Enero Upahi, Radinal Fadli
This study rigorously examines the factors contributing to the successful integration of Artificial Intelligence (AI) within K-12 education. Drawing upon an extensive narrative review, the researchidentifies three fundamentaldimensions: technicaland infrastructureconsiderations, pedagogicalintegration, andhumanandorganizational readiness, pivotal to effective AI adoption. The chapter explores adaptive learning systems, automated assessment tools, and personalized educational platforms as key AI applications for teaching efficiency and student engagement. It proposed a conceptual framework to guide the implementation of AI, aligning technological capabilities with educational objectives and ethical standards. Implications for policymakers, educators, and technologists are discussed, alongside recommendations for teacher training, curriculum alignment, and strategic investments in infrastructure. The study concludes by outlining avenues for future research, particularly in exploring long-term outcomes and the equitable deployment of AI across various educational settings. Copyright © 2026, IGI Global Scientific Publishing. Copying or distributing in print or electronic forms without written permission of IGI Global Scientific Publishing is prohibited. Use of this chapter to train generative artificial intelligence (AI) technologies is expressly prohibited. The publisher reserves all rights to license its use for generative AI training and machine learning model development.
Islamic University, Uganda, Uganda; Yogyakarta State University, Indonesia; Universiti Brunei Darussalam, Brunei, Brunei Darussalam; Universitas Lampung, Indonesia
