哪种类型的学生更喜欢混合式学习环境的哪些组成部分?聚类分析调查

Dirk T. Tempelaar, B. Rienties, S. S. Loeff
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引用次数: 1

摘要

马斯特里赫特大学在经济学和商学一年级学生的入门统计学教学中,采用了混合学习环境,允许学生根据个人喜好调整可用的学习工具,设计个性化的学习环境。混合式学习环境由基于基于问题的学习原则的教程、讲座、自主学习和基于知识空间理论的电子学习环境ALEKS组成。只需要使用第一种成分;其他组件的使用可以根据个人偏好进行设置。在这项研究中,我们将重点关注电子学习环境ALEKS的使用强度,并在聚类分析研究中调查这与学生学习倾向之间的关系。使用了大约4650名学生参加这门课程的数据。本研究的目的是对“开发工具以改善学生的统计学学习”这一主题作出贡献。
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What type of students prefer what components of a blended learning environment? A cluster-analytic investigation
In the teaching of introductory statistics to first year students economics and business, the Maastricht University uses a blended learning environment that allows students to design a individualized environment by attuning available learning tools to personal preferences. The blended learning environment consists of tutorials based on the problem-based learning principle, lectures, independent learning and an electronic learning environment based upon knowledge space theory: ALEKS. Usage of only the first component is required; the usage of other components can be set according to individual preferences. In this study, we will focus on the intensity of the use of the electronic learning environment ALEKS and investigate the relationship between this and student learning dispositions in a cluster analytic study. Data of about 4650 students taking this course are used. This study aims to contribute on the topic ‘development of tools to improve students’learning of statistics’.
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