On this page

Construction of a model for evaluating the effect of ecological education in national park study activities based on the random forest algorithm

By: Hui Wang 1, Yuqing Su 2
1Tourism Management Department, TAIYUAN TOURISM COLLEGE, Taiyuan, Shanxi, 030032, China
2Department of Humanities and Social Sciences, Jinshan College of Fujian Agriculture and Forestry University, Fuzhou, Fujian, 350002, China

Abstract

This study focuses on the evaluation of the effect of ecological education in the study activities of national parks, and through extensive literature research and actual research, an evaluation index system covering four dimensions of the curriculum system, safeguard conditions, teachers’ quality and students’ academic knowledge is determined. After determining the subjective and objective weights using the hierarchical analysis method (AHP) and the CRITIC weighting method, respectively, the ecological education effect assessment model was constructed by combining the results of the comprehensive weights derived from the two methods. Taking the ecological education teaching data of 20 colleges and universities in province A as input, the decision tree is constructed first, and then the random forest is constructed and the feature set of the students’ ecological education effect is obtained, so as to realize the accurate measurement and evaluation of the ecological education effect. The average absolute percentage error of the evaluation results based on the random forest model is 0.681%, which is 0.647% lower than that of the comparison model, and the absolute value of the relative error fluctuates within the range of [0.030%,2.274%]. It shows that the assessment model in this paper has good accuracy and stability, which helps to promote the high-quality development of research and study activities in national parks.