大数据背景下好课维度创新与教学质量监测机制建设研究

Research on good course dimension innovation and teaching quality monitoring mechanism construction in the context of Big Data

随着“互联网+”新业态的蓬勃发展,大数据在行业的应用越来越广。在高校教学管理中应用大数据,能够精准地通过数据分析掌握教学管理中的问题,提高工作效率,加强管理能力。在大数据背景下建设质量监测机制,提升听课、评课专业水平,完善教学质量监控评价维度,厚重“专业的人”做“专业的事的专业底蕴。文章重点依据大数据统计结果从教学设计上考虑问题、从教学内容上观察问题、从教学效果上分析问题”3个视角来分析好课维度创新,得出完善的教学质量监测机制是评价一节好课的有力保障,并分析如何利用大数据构建教学质量监测机制。

With the vigorous development of the“Internet+”new format,the application of Big Data in the industry is more and more extensive.The application of Big Data in the teaching management of colleges and universities can accurately grasp the problems in teaching management through data analysis,improve work efficiency and improve management ability.Under the background of Big Data,the quality monitoring mechanism should be built to improve the professional level of attending lectures and evaluating lessons,improve the supervision and evaluation dimension of teaching quality,and enrich the professional background.Based on the Big Data statistical results,this paper analyzes the innovation of good course dimension from three perspectives,namely,“considering problems from teaching design,observing problems from teaching content,and analyzing problems from teaching effect”,and concludes that a sound teaching quality monitoring mechanism is a powerful guarantee for evaluating a good course.And how to use Big Data to build the teaching quality monitoring mechanism.