Year: 2025
Type: conference-paper
Abstract: 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.
Authors: Xiaowu Gao, Hua Cheng, Yiquan Fang, Xiaoning Chen
Institution: East China University of Science and Technology
Language: English
Field: Social Sciences
Domain: Social Sciences
SDG: Quality education
Open Access status: hybrid
OpenAlex ID: W4414288812