Abstract: To meet the needs of experimental teaching reform under the context of Emerging Engineering Education, an experimental pre-learning resource database and a adaptive assessment linked mechanism based on knowledge graph and competency map have been constructed. The research follows the framework of “problem-driven-digital empowerment-mechanism reconstruction”, based on the theory of blended learning, and uses multimodal technology to design a experimental pre-learning exercise bank integrating “knowledge + skills + security” in a trinity. The research focuses include: decompose the pre-learning content of the experiment based on the curriculum objectives and establish hierarchical test knowledge points; achieve personalized learning path recommendation through knowledge graphs and competency map; by leveraging Internet of Things (IoT) technology, the pre-learning evaluation system is linked with the laboratory access control system to form a closed-loop mechanism of “learning-evaluation-management”. This model significantly enhances students’ mastery of experimental knowledge and learning interest, while strengthening their awareness of lab safety, teamwork, energy saving and environmental protection. It provides a replicable paradigm for the digital transformation of practice-oriented teaching in Emerging Engineering Education.