Intelligent Collaborative Algorithm Design in the Construction of Teaching Innovation Team Building System for Higher Vocational Teachers in the Information Age

Abstract

In response to the challenges faced in the construction of teaching innovation teams at higher vocational colleges, including low efficiency and quality in resource integration and the absence of collaborative mechanisms, this paper designs a course resource construction process within the framework of swarm intelligence theory, comprising three stages: the preliminary organizational stage, the mid-term construction stage, and the post-construction refinement stage. To address the optimization needs of various resources and the coordination tasks of different types of workloads, a Markov decision process is introduced to achieve multi-dimensional resource and workload coordination and scheduling. A reinforcement learning framework based on collaborative relationship representation learning is proposed, consisting of three components: an agent value function network, a collaboration graph encoder, and a hybrid network. This framework is used to construct a multi-dimensional resource collaborative optimization algorithm based on reinforcement learning. The educational resource sharing platform established using this method demonstrates superior service performance compared to traditional educational resource sharing platforms, with an average throughput increase of 180.71 b/s and an average response time controlled within 5 seconds.