Smart learning techniques have gained significant attention in recent years due to advancements in technology and the increasing need for personalized and interactive learning experiences. These methods harness the potential of artificial intelligence, machine learning, data analytics, and augmented reality to elevate the process of learning. Major findings of this article present a thorough appraisal of the most current trends and analytical insights associated with the integration of smart learning techniques. The study casts a spotlight on several pivotal domains, encompassing personalized learning, adaptive learning, gamification, learning analytics, artificial intelligence (AI), natural language processing (NLP), augmented reality (AR), virtual reality (VR), mobile learning, social learning, and ethical considerations. The crux of personalized learning lies in its capability to tailor the learning experience in alignment with individual requisites. Meanwhile, adaptive learning takes the reins in customizing the learning journey, hinged upon learners’ advancement and proclivities. This research is completed using quantitative research methodology. Social learning thrives in a digitally connected era, fostering collaboration and shared knowledge acquisition. Amid these innovative strides, the discourse also delves into the ethical considerations intertwined with the deployment of intelligent technologies in learning contexts. In encapsulation, the paper navigates the expanse of smart learning techniques, elucidating their transformative effects, and potential for reshaping modern education review highlights key areas, such as personalized learning, adaptive learning, and gamification. It recommended the innovative learning with new learning system.