Design and Implementation of a Workload Management System for University Teachers Based on Python

Abstract

With the rapid development of society and the widespread adoption of computer network technology, the daily management of universities is gradually shifting from traditional manual methods to intelligent and information-based approaches, in order to meet the increasingly complex and diverse educational demands. In this process, managing teachers' daily workloads, which is a fundamental and crucial task, is facing more and more challenges. Traditional manual recording and statistical methods suffer from problems such as data omissions, errors in recording, and delays in statistics, which seriously affect the accuracy and timeliness of workload evaluations. Therefore, solving this issue has become an urgent task for universities. This research aims to design and implement an efficient and scientific university teacher workload management system, which seeks to enhance the precision and timeliness of workload assessments through informatization, ensuring fairness and justice in the management process. This will optimize the allocation and evaluation mechanism of teachers' workloads, thereby improving the work efficiency and motivation of teaching management personnel. The system is primarily developed using Python, presenting a solution that meets the needs of modern university management. The system not only addresses various issues in traditional management methods but also provides data analysis and decision support capabilities, offering strong technical support for the management of university teaching.