Exploring the sustainable development path of higher education ecology empowered by artificial intelligence

Ecological sustainable development model is a green ecological model and a prerequisite for economic sustainable development. Higher education is vocational education and vocational training for relevant personnel, aiming to cultivate more professional talents and skilled workers for the country and society, so as to achieve the goal of social development. This paper aims to use advanced technical means to construct an ecological sustainable development model for higher education. Based on relevant computer technology, this paper proposes a support vector machine (SVM) model and a BP (back propagation) artificial neural network algorithm to analyze and study the ecological sustainable development model. Through experimental analysis, it is known that in the survey of teachers, 199 teachers believe that resources should be effectively utilized in the network environment. This part of teachers accounts for the largest proportion, which is 25.51%, while the proportion of teachers with academic theoretical knowledge is the smallest, which is 7.06%. This shows that teachers should strengthen technical learning. In the process of distance education, practical operation is far more important than theoretical knowledge, and teachers’ skill training also affects the sustainable development of education. Finally, the calculation results show that the experimental method has certain significance for the analysis of ecological sustainable development of higher education.