Against the backdrop of deepening smart education development, the teaching of landscapearchitecture faces a systemic restructuring imperative. Focusing on the experimental courses in planning and design at Hubei University of Technology, this study addresses issues such as weak technology integration and monotonous learning experiences in traditional teaching models. Through field research and case analysis, leveraging the conceptual framework and technological ecosystem of smart education (e.g., virtual simulation, data-driven decision-making), we reconstruct a dynamic closed-loop experimental teaching system encompassing teaching-learning-assessment from four dimensions: teaching objectives, content structure, instructional methods, and evaluation mechanisms. The results demonstrate that by deeply integrating smart education resources, this system not only enhances students’ mastery of complex design techniques and creates immersive, personalized learning pathways but also refines teaching management. This research provides a systematic solution for implementing smart education in landscape architecture practical teaching and offers empirical insights for transforming talent cultivation models under the emerging engineering education paradigm.