The Influence of Uneven Distribution of Online Education Resources on the Development of Students in Backward Areas

This paper aims to explore the influence of uneven distribution of online education resources on the development of students in backward areas, and puts forward the strategy of optimizing resource allocation through algorithms to improve this situation. Firstly, the study analyzes the current situation of online education resource allocation, and points out the uneven distribution of resources caused by geography, economic conditions and students' needs. Subsequently, an improved algorithm based on multi-objective optimization and heuristic search (FERA algorithm) is designed and implemented, aiming at distributing online education resources to students in backward areas more fairly and effectively. The experiment selects representative schools and students in backward areas as samples, collects relevant data, and uses FERA algorithm to optimize resource allocation. The experimental results show that FERA algorithm significantly improves the fairness and efficiency of resource allocation, meets the diverse needs of students, and has a positive impact on students' academic performance and comprehensive quality. This paper calls on the government, schools and all walks of life to make joint efforts to popularize algorithm optimization technology, strengthen infrastructure construction and formulate differentiated policies in order to realize the fair distribution of educational resources.