期刊名称：International Journal of Emerging Technologies in Learning (iJET)
印刷版ISSN：1863-0383
出版年度：2006
卷号：1
期号：1
语种：English
出版社：Kassel University Press
摘要：In this work the problem of identifying relationships between different learning strategies and learning outcomes is addressed. Classical statistical methods such as p values and chi square test, as well as Multiple Correspondence Analysis are employed; variables to be explained are performances of learners in Multiple Choice Tests (MCT) and Design Tests. It is shown that: the methods are able to detect differences with a different sensitivity; the methods are able to detect characteristics belonging to the metacognitive domain; specific strategies are effective to learn complex skills. Further applications are discussed, especially for what concerns cognitive and metacognitive changes happening in time.
