大数据背景下高校混合式教学质量监控体系研究
Research on the Quality Monitoring System of Hybrid Teaching in Universities under the Background of Big Data
高芬1
作者信息
- 1. 安徽新华学院外国语学院,合肥 230088
- 折叠
摘要
随着信息技术的迅猛发展,大数据时代已经到来,对教育领域的影响日益显著.高校教育作为培养人才的重要环节,其教学质量的监控与提升尤为重要.传统的教学质量监控方法存在信息不全面、时效性差等问题,无法满足现代高校教育的需求.因此,构建一种基于大数据的高校混合式教学质量监控体系具有重要的意义.在分析传统教学质量监控方法不足之处的基础上,本文积极尝试构建基于大数据的高校混合式教学质量监控体系,旨在为高校教育提供一种有效的教学质量监控手段,促进学生的个性化学习和教师的教学改革.
Abstract
With the rapid development of information technology,the era of big data has arrived,and its impact on the education field is becoming increasingly significant.University is an important link in cultivating talents,and the monitoring and improvement of teaching quality is particularly important.Traditional teaching quality monitoring methods have problems such as incomplete information and poor timeliness,which cannot meet the needs of modern higher education.Therefore,building a hybrid teaching quality monitoring system for universities based on big data is of great significance.On the basis of analyzing the shortcomings of traditional teaching quality monitoring methods,this article actively attempts to construct a hybrid teaching quality monitoring system for universities based on big data,aiming to provide an effective teaching quality monitoring tool for higher education,and promote personalized learning of students and teaching reform of teachers.
关键词
大数据/混合式教学/质量监控/高等教育/教育改革Key words
big data/hybrid learning/quality monitoring/higher education/education reform引用本文复制引用
基金项目
安徽新华学院教学改革研究与实践项目(重点)(2021jy012)
出版年
2024
NETL
NSTL
万方数据