الذكاء الاصطناعي في التعليم الإلكتروني: مراجعة منهجية للأدبيات وإطار تربوي

This study aims to provide a comprehensive Systematic Literature Review (SLR) of Artificial Intelligence (AI) applications in e-learning, alongside the development of a pedagogically grounded framework to support its effective integration. The review systematically analyzes peer-reviewed studies published between 2015 and 2024, categorizing them according to AI techniques, educational contexts, and pedagogical roles. The findings reveal a strong concentration on Machine Learning, Intelligent Tutoring Systems, and Learning Analytics, accompanied by a limited and often implicit alignment with established learning theories and instructional design models. To address this gap, the study proposes an integrative pedagogical framework that systematically links AI capabilities with core educational components, including learners, instructors, instructional strategies, and data-driven feedback mechanisms. The study contributes both a structured synthesis of current research and a theoretically informed, practically applicable model for the design of AI-enhanced e-learning environments.