Construction of a Dynamic Evaluation Index System for University Majors Based on "AI + Big Data" Multi-source Distributed Parallel Computing
Fashion and Communication School, Wuhan Technical University, Wuhan 430074, China
| Abstract: | University major evaluation is a systematic evaluation of the professional construction, teaching quality, and talent training in colleges and universities, aiming to promote construction of professional connotation and improve the quality of talent training. The evaluation is usually organized by government education authorities, third-party institutions, or colleges and universities independently, adopting combination of quantitative and qualitative methods, mainly based on a professional evaluation system that relies on static analysis. The social participation is relatively low. With the comprehensive and in-depth integration of-education integration and science-education integration into the teaching and scientific research work of colleges and universities, the professional construction and development of colleges and universities need more participation from various sectors of. In order to better verify the school-running strength and school-running level of colleges and universities, it is very necessary to construct a professional evaluation system with the participation of subjects, such as government education authorities, colleges and universities, third-party evaluation institutions, and industry enterprises. This kind of multi-party collaborative working mode is a very complex systematic, which not only involves the acquisition of various different information resources and massive data storage and computing, but also needs a complete set of data classification processing and information processing technology. By using "AI + Big Data" technology and adopting a multi-source distributed parallel computing model, it can effectively solve the storage and computing of various information data and greatly avoid the intervention of human in the evaluation process, which is a powerful guarantee for the extensive participation in the evaluation process and the fairness and justice of the evaluation results. |
| Keywords: | AI; Big Data; Distributed; Parallel Computing; Majors Evaluation; Index System |
| DOI: | 10.57237/j.cst.2026.01.003 |
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Received: 6 January 2026
Accepted: 11 February 2026
Published Online: 26 February 2026
Funding
| 1. | 武汉职业技术大学课题——高职专业评估指标体系研究 (项目编号: 2025YJ069) |
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