摘要
在网络化学习系统中,如何准确地发现学习者的缺陷是学习评价系统的主要任务,也是一个非常困难的问题。该系统通过对学习资源标注知识点、能力点、方法点、错误现象和错误归因等信息,将学习资源所包含的信息进一步细分和深化,再以测试结果为基础进行评价,能够更准确地发现学习者的缺陷。
In a network E-learn system, how to precisely locate the disfigurement of learner is the main task of evaluation of E-learn system and also is a difficult problem. Through marking knowledge points, ability points, method points and error phenomenon on learning resource, the information of resources is to be subdivided and deepened. The evaluating information from test and check based on these data will be more precise and deeper.
出处
《计算机工程与设计》
CSCD
北大核心
2006年第1期152-154,共3页
Computer Engineering and Design
关键词
网络学习
学习评价
缺陷发现
学习资源
信息细分
network learning
learning evaluation
disfigurement discovery
learning resource
information subdivision
