The Framework Design of an Intelligent Task Assignment System for Team Collaboration

With the continuous iteration and renewal of the education system, the teaching method is also constantly developing. At present, more and more attention is paid to the way of teamwork in teaching, but there are some problems that cannot be ignored in the current way of teamwork. In current literature, first, there is little research outcome of an optimal task division according to team members’ ability, and second, there are not that many research solutions to dynamic task assignment for the process of task execution in the research of team collaboration. To solve the above problems, this paper proposes a framework design of an intelligent task assignment system for team collaboration, which aims to optimize teamwork task assignments. In comparison to existing research, this framework design places a greater emphasis on the optimal alignment between team member’s abilities and task assignment. Through a detailed analysis of team members and task characteristics, relevant data is collected as the primary input. The relevant data is then combined with highly adaptable algorithms to derive optimal task assignments for collaborative teamwork. The proposed methodology encompasses a task monitoring process that enables timely detection and evaluation of subtask errors, along with real-time assessment and monitoring of team member ability changes. Subsequently, dynamic reallocation of tasks is performed to ensure the smooth progress of team collaboration and ensure the continual enhancement of team members’ multifaceted abilities. Additionally, this framework design enhances the flexibility of task assignments in collaborative teamwork, leading to significantly improved learning outcomes for students involved in team-based activities.