摘要
通过分析教师的个体特征和教学评价数据,对教师教学能力提升途径进行发掘,提出基于个体特征与教学评价的教师学习对象推荐算法,并从教师个体特征相似度与教学质量匹配度2个方面对教师间的适配度进行计算.实验结果表明:该算法准确率较高,在高校教学改革中有较好应用价值.
Through the analysis of teachers′individual characteristics and teaching evaluation data,the ways to improve teachers′teaching ability are explored,and a teacher learning model recommendation algorithm is proposed,which is based on individual characteristics and teaching evaluation.The algorithm calculates the suitability of teachers from two aspects:the similarity of teachers′individual characteristics and the matching degree of teaching quality.The experimental results show that the accuracy of the proposed algorithm is high.It has better application value in the teaching reform of colleges and Universities.
作者
徐雪珂
邓松
张荣
叶治
徐昊颖
XU Xueke;DENG Song;ZHANG Rong;YE Zhi;XU Haoying(College of Software and Internet of Things Engineering,Jiangxi University of Finance and Economics,Nanchang Jiangxi 330013,China;Nanchang Donghu District People's Procuratorate,Nanchang Jiangxi 330006,China)
出处
《江西师范大学学报（自然科学版）》
CAS
北大核心
2019年第4期409-415,共7页
Journal of Jiangxi Normal University(Natural Science Edition)
基金
国家自然科学基金(61462037)资助项目
关键词
个体特征
教学评价
教学质量
individual characteristics
teaching evaluation
teaching quality
作者简介
通信作者:邓松(1982-),男,江西南昌人,副教授,博士,主要从事实体关联、数据法学和教育信息化的研究.E-mail:47817086@qq.com
