Design of Intelligent Evaluation System of Environment Art Work Coordination for Education and Teaching Process

In order to solve the problem of insufficient coordination of knowledge points in environment art works caused by low efficiency and strong randomness of automatic paper generation in the traditional environment art work online examination system, an environment art work coordination intelligent paper generation and evaluation system based on knowledge graph and improved genetic algorithm is proposed. First of all, a method based on exam point knowledge graph is used for the retrieval of multiple keywords. Then, an improved genetic algorithm is used to automatically generate test papers and optimize knowledge points. Finally, conduct test question management and online exam module design to achieve coordination intelligent evaluation of online examination and environment art works. In the three experiments of generating paper, the maximum number of program iterations and maximum time of generating paper of the improved genetic paper generation algorithm are 137 and 43 seconds, respectively. The average success rate of this algorithm for paper generation is 96.19%, which is higher than that of the particle swarm algorithm. In addition, the paper generation time of the improved genetic paper generation algorithm is shorter. It shows that the improved algorithm has higher efficiency and quality, and the algorithm has stronger superiority. Based on this algorithm, it can realize automatic paper generation and coordination in the online examination of environmental art work, and meet the requirements of software system design.