Smart education is an educational model that integrates information and communication technologies (ICT) to enhance and transform learning environments by utilizing advanced technological tools. This paper explores the role of recommendation systems that use collaborative, content-based, or hybrid filtering algorithms to provide personalized learning paths based on students’ progress and preferences. Additionally, it discusses the necessary ICT infrastructures, such as learning management systems (LMS), cloud services, and mobile applications, that enable the creation of digital learning environments. The paper also highlights the importance of artificial intelligence (AI) and big data analytics in optimizing recommendations and adapting them to learners’ needs in real time. Finally, it discusses the challenges of implementing ICT and recommendation systems in education, and considers emerging technologies, such as deep learning and natural language processing (NLP), which enhance the effectiveness of these systems. These findings provide practical guidance for institutions looking to adopt smart educational technologies to improve learning outcomes, offering key insights into the effective integration of these systems to boost student engagement and academic achievement.