The use of a hierarchical construct to investigate students’ learning of inferential statistics

Saras Krishnan, N. Idris
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引用次数: 3

Abstract

At present, there is still a need for more research in the teaching and learning of inferential statistics because of the limitedness of literature in this area of statistics education. Moreover, there is continuing evidence of students’ partial or unsuccessful learning of many aspects of inferential statistics. This is one of the concerns brought to attention in my postgraduate research whereby part of my work involved the development of a hierarchical construct to identify the different levels of students’ learning of inferential statistics. This paper particularly discusses the use of this hierarchical construct to investigate the learning of inferential statistics among students.
运用层次结构调查学生对推论统计的学习
目前,由于统计教育领域的文献有限,在推理统计的教与学方面还需要进行更多的研究。此外,有持续的证据表明,学生部分或不成功地学习了推理统计的许多方面。这是我在研究生研究中引起注意的问题之一,我的部分工作涉及开发一个层次结构,以确定学生学习推理统计的不同水平。本文特别讨论了使用这种分层结构来调查学生的推理统计学习。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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