文献类型：期刊文献

中文题名：高校智能化教学评估平台的构建与应用

英文题名：The Construction and Application of an Intelligent Teaching Evaluation Platform for Universities

作者：高小伍[1];程华[2];陈晓宁[1];房一泉[1]

机构：[1]华东理工大学信息化与数据管理中心;[2]华东理工大学信息科学与工程学院

年份：2026

卷号：43

期号：1

起止页码：107

中文期刊名：化工高等教育

外文期刊名：Higher Education in Chemical Engineering

语种：中文

中文关键词：人工智能;大模型;教学评估;教育信息化

外文关键词：Artificial intelligence;Large-scale models;Teaching evaluation;Educational informatization

摘要：立足于高校教学评估的特点,结合高校教学评估的现状,文章深入分析了传统教学评估存在的问题,阐述了建设智能化教学评估平台的必要性。智能化教学评估平台以人工智能和大模型技术为基础,通过整合多模态数据采集和自动化评估技术,全面分析高校教学数据,实现对教学质量和人才培养成效的常态化监测。智能化教学评估平台提供多种智能评估功能,同时支持外部评估和高校自评,可为高校提供战略决策支撑。
Based on the characteristics of teaching evaluation and current situation of teaching evaluation in universities,this article deeply analyzes the problems existing in traditional teaching evaluation and explains the necessity of building an intelligent teaching evaluation platform.The intelligent teaching evaluation platform,based on artificial intelligence and large-model technology,comprehensively analyzes the data related to teaching by integrating multimodal data and automated evaluation techniques,achieving regular monitoring of teaching quality and talent training outcomes in universities.The platform provides a variety of intelligent evaluation functions and supports both external evaluation and self-evaluation by universities.It can provide strategic decision-making support for universities.