摘要
大多数民办高校致力于培养应用型人才,其中数据挖掘作为在大数据时代的核心课程,对于培养相关人才至关重要。然而,经过对数据挖掘课程教学的深入调查,我们发现若干问题,如教学模式单一、教学内容与实际需求脱节、教学资源有限等。针对这些存在的问题,文章从教学模式、教学内容、教学资源、考核方式等方面进行改革探索,旨在提高学生学习积极性以及学习效果,使民办高校培养的学生更能满足企业的需求,适应社会发展的需要。
The most private colleges and universities are committed to cultivating application-oriented talents,among which data mining,as the core course in the era of big data,is crucial to cultivating relevant talents.However,through the in-depth investigation of data mining course teaching,we found some problems,such as single teaching mode,disconnection between teaching content and actual needs,limited teaching resources and so on.In view of these existing problems,the paper explores the reform from the aspects of teaching mode,teaching content,teaching resources,assessment methods,etc.,aiming to improve students’learning enthusiasm and learning effect,so that the students trained by private colleges and universities can better meet the needs of enterprises and adapt to the needs of social development.
作者
高婷
GAO Ting(Zhengzhou University of Economics and Business,Zhengzhou Henan 451191,China)
出处
《信息与电脑》
2024年第12期226-228,共3页
Information & Computer
基金
郑州经贸学院教学改革项目“大数据背景下民办院校的《数据挖掘》课程改革研究”(课题编号:JG2215)。
关键词
民办高校
数据挖掘
教学现状
改革探索
private colleges and universities
data mining
teaching status
reform exploration
