Professional Group Construction Model of Higher Vocational Education Based on Ar-tificial Intelligence Technology

Abstract

This research uses 120 students from automotive engineering, nursing, and IT programs - an experimental and a control group - to explore the integration of AI-driven adaptive learning systems and VR simulations in higher vocational education. Results demonstrate that the experimental group using AI and VR technologies made substantial knowledge gains and achieved better final assessment scores than the control group. The practical skills of students show a marked increase in modules trained using VR, especially with decreasing time to complete and greater accuracy. Moreover, students under training in the experimental group appear more enthusiastic and engaged. Thus, AI and VR can make vocational education a new thing by allowing students to have personal, immersive, and engaging ways of learning that are matched exactly to their educational needs.