Exploration of Artificial Intelligence-Based Intelligent Course Scheduling and Resource Optimization Technology in Higher Education
Year: 2025
Type: conference-paper
Abstract: Now more and more students in universities, the traditional manual scheduling method has not kept up with the needs of teaching management. This paper has developed an intelligent scheduling system based on deep reinforcement learning, which can better allocate teaching resources. The whole system mainly contains three parts, namely, processing data, running algorithms, and practical applications. In terms of algorithms, we have designed a new deep reinforcement learning model, which adds a dual attention mechanism, which makes the class schedule more reasonable, and the class schedule can be more reasonable.The biggest benefit of the system is to reduce the workload of teachers, make the allocation of teaching resources more reasonable, and help schools to better manage digital management.
Authors: Yanlun Chen, Qian Liu, Daquan Tong
Institution: Hunan Automotive Engineering Vocational University
Language: English
Field: Decision Sciences
Domain: Social Sciences
SDG: Quality education
Open Access status: gold
OpenAlex ID: W4412923055