This paper aims to address the current situation of low career maturity among students in colleges and universities, as well as the insufficient professional level of career education teachers. It proposes a personalized recommendation system for career learning, utilizes innovative technology in the classroom, and develops a career education curriculum system with the core values of “Knowing, Acting, Saving.” The standardized scoring design is based on mean-centering, and the user similarity and time function are introduced for similarity calculation to provide personalized recommendations for career learning. Based on virtual reality technology, a virtual scene for career education is built, and an improved QEM grid simplification algorithm with edge segmentation is proposed to simplify the complex 3D grid model and provide students with virtual contextual classroom services. S The University of Shandong Province, China, conducts career education practice with Class 1 students majoring in biological sciences as the research object. The mean values of students’ knowledge, content, interest, awareness, and behavior dimensions in career maturity increased by 1.56, 0.83, 1.65, 1.3, and 1.03, respectively, compared to pre-practice. The overall career development water mean increased from 34.71 to 48.78 before the practice, which showed a significant difference (P<0.05), and the level of career education at the University of S is performing well.