标题:Research on Teaching Methods Based on Students’ Autonomous Knowledge Aggregation
作者:Li X.F.
作者机构:[Li, X.F] Yan Shan College, Shan Dong University of Finance and Economics, Jinan, China
通讯作者:Li, XF(lixuefengsdufe@163.com)
通讯作者地址:[Li, X.F] Yan Shan College, Shan Dong University of Finance and EconomicsChina;
来源:Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
出版年:2019
卷:11354 LNCS
页码:354-358
DOI:10.1007/978-3-030-15127-0_35
关键词:Autonomous learning; Knowledge aggregation; Learning system; Teaching methods
摘要:In information technology have driven changes in traditional educational concepts, models and methods. The main change brought about by the development of Internet and information technology in the study of teaching methods is that the method of “teaching” is more focused on the method of “learning”. The development of big data provides an empirical study of teaching methods. The new data source makes the teaching method research more abundant and accurate data [1]. This paper will comprehensively consider various factors, establish a general evaluation model of student ability training effect, provide qualitative and quantitative analysis for students’ ability training effect, and provide measurement standards for other similar studies. © 2019, Springer Nature Switzerland AG.
收录类别:SCOPUS
资源类型:期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85064683993&doi=10.1007%2f978-3-030-15127-0_35&partnerID=40&md5=f2536300b943a9ffda1d9e358bf6edb4
TOP