Improving Measurements of Self-Regulated Learning

被引:268
作者
Winne, Philip H. [1 ]
机构
[1] Simon Fraser Univ, Fac Educ, Burnaby, BC V5A 1S6, Canada
关键词
STUDENTS; ENVIRONMENTS; HYPERMEDIA;
D O I
10.1080/00461520.2010.517150
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
Articles in this special issue present recent advances in using state-of-the-art software systems that gather data with which to examine and measure features of learning and particularly self-regulated learning (SRL). Despite important advances, there remain challenges. I examine key features of SRL and how they are measured using common tools. I advance the case that traces of cognition and metacognition offer critical information about SRL that other state-of-the-art measurements cannot.
引用
收藏
页码:267 / 276
页数:10
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