基于机器学习的高职院校智能科研绩效研究  

Research on the Performance of Intelligent Scientific Research in Higher Vocational Colleges based on Machine Learning

作　　者：冯佳音[1] 宋金玲[1] 李密生[1] 安丽红[1] 

机构地区：[1]河北科技师范学院数学与信息科技学院,河北秦皇岛066004

出　　处：《创新创业理论研究与实践》2018年第10期16-19,共4页The Theory and Practice of Innovation and Enterpreneurship

基　　金：2018河北省社会科学发展研究民生调研专项课题(项目编号:201803040106);2017年河北省高等学校创新创业教育教学改革研究与实践项目课题(项目编号:2017cxcy107);2016河北科技师范学院教学研究项目(项目编号:JYZD201606)

摘　　要：随着我国教育事业的不断发展,高职院校的科研管理逐步受到重视。为了建立高职院校有效的科研绩效评价模型从而进一步提高高职院校教师的科研热情,该文建立基于机器学习的算法。实验结果显示,该方法能准确有效地建立高职院校教师科研绩效评价模型,从而构建更合理准确的评价体系。With the rapid develops of education in China, the scientific research of higher vocational education has gradually drawn extensive attentions. In order to construct a reasonable evaluation model of scientific research performance to further enhance the research enthusiasm of teachers, this study constructed a model based on machine learning algorithm. The simulation results showed that, simplified data of scientific research evaluation could be applied to accurately and effectively construct an evaluation index system of scientific research performances of vocational colleges. Thus a more reasonable and accurate evaluation system was constructed.

关 键 词：算法 高职院校 绩效评价 

分 类 号：G717[文化科学—职业技术教育学]