In recent years,the construction of virtual simulation courses has become a new focus of research on first-class undergraduate courses.By integrating modern information technology with education,it can address the requirements of contemporary design-based teaching that traditional instructional methods fail to meet.Taking the provincial first-class course Virtual Simulation Experiment of Landscape Planning and Design approved by Inner Mongolia University of Science and Technology as a case study,this research involves the preliminary design of the course.It also includes quantitative analysis of the performance of 1 510 students after using the course and utilizes the neural network SSA-Elman prediction model to forecast the adjusted experiment's performance.The aim is to achieve precise teaching.The results indicate that the performance of the virtual simulation experiment in landscape planning and design is ranked highest in the third year,followed by the second year and then the fourth year.Regarding different majors,the performance is ranked highest in landscape architecture,followed by environmental design,architecture,and urban and rural planning.Based on the analysis of the performance results,the experiment will only be offered to third-year students in the future,and specialized experiments will be continuously improved based on the learning situation of students in different majors.According to the exploration of the first-class course and the analysis of performance prediction,it is recommended to increase the utilization of the course by external users,continuously explore market demands,adjust the functionality and scoring system of the experiment,enhance the alignment between the school and the market,and increase the course's"challenging"nature.This will further enhance students'core competencies in their respective fields.
landscape architecturevirtual simulationfirst-class coursesachievement predictionteaching research
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