Design and Implementation of an Automatic Scoring Tool for Adaptive Screen Resolutions

Xiamen H University's adoption of the Future Education System V4.0 for the final assessment of "Fundamentals of Computer Science" implements paperless examinations, reducing the burden on teachers. However, the system has deficiencies in batch automatic correction and student learning status analysis, and does not adapt well to varying screen resolutions. To address these issues, this study utilizes Python to develop an automatic scoring tool for the existing system, designed to adapt to various screen resolutions. The tool employs a layered architecture to create an efficient and stable automatic scoring solution, integrating functions such as parameter setting, automatic scoring, grade analysis, and file renaming. This tool enhances the efficiency and accuracy of marking work, enables a comprehensive assessment of students' mastery of computer course content, and improves the system's user-friendliness, providing a new approach to examination and assessment methods in the education field during the digital transformation process.