浅谈数据挖掘技术在高校教学质量监控中的应用  

ABrief Talk on the Application of Data mining Technology in the Teaching Quality Monitoring of Adult Colleges and Universities

作　　者：郭锋[1] Guo Feng(BeijingFengtai Staff and Workers University,Beijing 100161)

机构地区：[1]北京市丰台区职工大学,北京100161

出　　处：《教师教育论坛》2023年第7期18-22,共5页Teacher Education Forum

摘　　要：随着科技的进步,数据挖掘技术成为高校教师教学质量监控的重要工具。数据分析和挖掘技术可以全面评估教育质量并提供科学支持。高校教学质量监控机构应加强关键技术研究,在数据处理、机器学习和算法优化等领域,推进开源软件的研究和应用,提高其效率和质量。此外,要注重人才储备,加强数据挖掘领域的人才培养,建立高水平研究机构和人才交流平台,从而更好地促进教育质量的提高。With the progress of science and technology,data mining technology has become an important tool to monitor the teaching quality of college teachers.Data analysis and mining technology can comprehensively evaluate the quality of education and provide scientific support.Teaching quality monitoring institutions in colleges and universities should strengthen the research on key technologies,promote the research and application of open source software in the fields of data processing,machine learning and algorithm optimization,and improve its efficiency and quality.In addition,we should pay attention to talent reserve,strengthen talent training in the field of data mining,and establish high-level research institutions and talent exchange platforms,so as to better promote the improvement of education quality.

关 键 词：数据挖掘技术 高校教学 质量监控 

分 类 号：G650[文化科学—教育学]