摘要
随着高职教育规模的不断扩大,高职教育的质量问题逐渐成为人们关注的焦点,如何保证教育质量则尤为重要。通过对高职院校教学评价体系原则的分析,在此基础上构建了基于蚁群聚类算法的高职院校教学评价系统模型,旨为后续的评价系统的完善提供参考,并为高职院校的管理或决策者提供数据支持。
Along with the quality education scale’s unceasing expansion, the quality education’s quality question becomes the focal point which gradually the people pay attention. How to ensure the quality of education plays a very important role. In this paper, through the analysis of the high technology college teaching evaluation system principle, on the basis of constructing the model of college teaching evaluation system based on ant clustering algorithm, providing reference for perfecting the evaluation system of the follow-up, and for higher vocational colleges management or policy makers to provide data support.
出处
《宁波职业技术学院学报》
2014年第4期99-101,共3页
Journal of Ningbo Polytechnic
基金
江苏省现代教育技术研究项目(2013-R-25197)
关键词
蚁群算法
人工智能
聚类
教学评价模型
ant colony algorithm
artificial intelligence
clustering analysis
Teaching evaluation
