Improving Design and Innovation Ability in Vocational Education Based on Neural Network Assisted Teaching

Abstract

This study explores the application of neural network (NN) technology in vocational education design and innovation ability training and constructs a comprehensive teaching system integrating intelligent design assistance, personalized learning paths, and automatic evaluation feedback. Through a semester-long empirical study, this paper compares the learning effects of 120 design students under the traditional teaching and an NN-assisted teaching mode. The results show that the NN-aided system significantly improved students' design quality, learning efficiency, and innovation ability, and at the same time, enhanced their learning interests and autonomous learning ability. This research not only provides a new perspective for the innovation of teaching methods in vocational education but also reveals a new way to promote students' comprehensive quality by using advanced information technology. The research shows that the teaching scheme supported by NN technology in vocational education can provide a valuable reference case for future education models.