文献类型：期刊文献

英文题名：Construction and Application of Undergraduate Teaching Evaluation System Based on Big Data Technology

作者：Gao, Xiaowu[1]; Fang, Yiquan[1]; Hua, Cheng[2]; Cai, Yuan[1]; Wang, Huifeng[2]

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：68

外文期刊名：Proceedings of the 2nd Guangdong-Hong Kong-Macao Greater Bay Area Education Digitalization and Computer Science International Conference ,EDCS 2025

收录：EI(收录号：20254619496871)

语种：英文

外文关键词：Analytic hierarchy process - Decision making - Decision support systems - Engineering education - Interactive computer systems - Real time systems - Students - Teaching

摘要：In response to the requirements for intelligence, collaboration, and interactivity in undergraduate teaching evaluation under the background of big data technology, this paper proposed an undergraduate education teaching evaluation system based on big data technology. Based on the Analytic Hierarchy Process and Entropy Weight Method, the system linearly fits the two weights to calculate the indicator system weights for teaching evaluation. Under the indicator system framework, the system can achieve multi-form, multi-dimensional, and three-dimensional undergraduate evaluation data collection, monitoring, and analysis to assist schools in providing accurate support for training programs, teaching investment, scientific innovation, and employment. The system focuses on the real-time and dynamic nature of self-evaluation in universities, integrating data collection, intelligent analysis, and precise decision support, enhancing the role of evaluation in promoting teaching, optimizing the decision-making ability of universities, and realizing the re-evaluation of the value of evaluation in universities. ? 2025 Copyright held by the owner/author(s).