Abstract: Plant Biomass Separation and Conversion Experiment course adheres to a student-centered approach, exploring deep learning teaching models for curriculum content and instructional design to address specific pedagogical challenges．In curriculum content development, a knowledge graph framework has been established to reconstruct knowledge system, while innovation leadership has reshaped experimental projects．Regarding instructional design, entire process from theoretical cognition-virtual simulation-practical verification was integrated through combination of reality and virtuality．Curriculum depth was expanded through integrating science, research and education, while digital intelligence empowerment facilitated transformation towards a triadic interaction model among teachers, students, and intelligent systems．This deep learning paradigm effectively enhanced teaching quality and academic standards, fostering mutual growth between instructors and learners．It stimulated students' learning enthusiasm and innovative potential, laying a solid foundation for cultivating high-caliber professionals in field of renewable biomass resources who could meet national strategic demands and contemporary developmental needs．