文献类型：期刊文献

英文题名：Research on Discipline Development Level Monitoring System Based on Big Data Technology

作者：Gao, Xiaowu[1]; Cheng, Hua[2]; Fang, Yiquan[1]; Chen, Xiaoning[1]

机构：[1] Information and Data Managerment Center, East China University of Science and Technology, Shanghai, China; [2] School of Information Science and Engineering, East China University of Science and Technology, Shanghai, China

年份：2025

起止页码：284

外文期刊名：Proceedings of the 2025 5th International Conference on Automation Control, Algorithm and Intelligent Bionics, ACAIB 2025

收录：EI(收录号：20254619498195)

语种：英文

外文关键词：Decision making - Engineering education - Teaching

摘要：To address problems such as ineffective real-time monitoring and weak decision-making support in the development of disciplines in universities, this study proposes a monitoring system for discipline development level based on big data, which is grounded in ShanghaiRanking’s Academic Ranking of World Universities and Double First-class discipline evaluation indicators and integrates the discipline evaluation indicators and methods of Times and QS Higher Education World University Rankings to establish a multidimensional discipline development evaluation system. From macro overview to micro insight, this system offers three-dimensional evaluation and analysis of key discipline indicators through vertical in-depth exploration and horizontal multi-dimensional comparison. It realizes the digital real-time monitoring of discipline construction, tracks discipline development, analyzes gap between disciplines, and provides visual monitoring and analysis-based early warning of discipline development at the university,faculty and discipline levels, providing strong data support for the relevant decisions of discipline construction and planning. ? 2025 Copyright held by the owner/author(s).