创新创业理论研究与实践 ›› 2021, Vol. 4 ›› Issue (5): 175-177.

• 创新方法 • 上一篇    下一篇

数据挖掘下的高职院校教学质量管理系统构建研究

朱敏   

  1. 江海职业技术学院,江苏扬州 225101
  • 发布日期:2021-09-09
  • 作者简介:朱敏(1982-),女,江苏靖江人,硕士,助理研究员,研究方向:高职教育管理、创新创业教育。

Research on Construction of Teaching Quality Management System in Higher Vocational Colleges under Data Mining

ZHU Min   

  1. Jianghai Polytechnic College,Yangzhou Jiangsu,225101,China
  • Published:2021-09-09

摘要: 随着教育行业的快速发展以及新教改的逐步落实,社会对高职学生的综合素养提出了更高的要求,对高职院校教学质量也提出了更高的要求。基于这种状况,高职院校管理层开始探索在数据挖掘下高职院校教学质量管理系统的构建,目的是对高职院校教学过程中产生的数据进行总结、归纳、分析与应用,在提升现阶段高职院校教学质量的同时,为高职学生提供更加优质的学习环境,从而促进学生的可持续发展。该文就数据挖掘概述、数据挖掘技术应用于高职院校教学质量管理系统构建存在的问题、数据挖掘下的高职院校教学质量管理系统构建展开论述与分析。

关键词: 数据挖掘, 高职院校, 教学质量管理系统, 构建研究

Abstract: With the rapid development of the education industry and the gradual implementation of the new teaching reform, the society has higher standards for the comprehensive quality of higher vocational students, and higher requirements have been put forward for the teaching quality of higher vocational colleges. Based on this situation, the management of higher vocational colleges began to explore the construction of teaching quality management system in higher vocational colleges under data mining. The purpose is to summarize, induce, analyze and apply the data generated in the teaching process of higher vocational colleges, improve the teaching quality of higher vocational colleges at present, and provide higher quality learning environment for higher vocational students, thus promoting the sustainable development of students. This paper discusses and analyzes the overview of data mining, the problems existing in the application of data mining technology in the construction of teaching quality management system in higher vocational colleges, and the construction of teaching quality management system in higher vocational colleges under data mining.

Key words: Data mining, Higher vocational college, Teaching quality management system, Construction research

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