Mathematical Thinking and Learning ( IF 2.0 ) Pub Date : 2021-06-03 , DOI: 10.1080/10986065.2021.1922856 Anna Fergusson 1 , Maxine Pfannkuch 1
ABSTRACT
The advent of data science has led to statistics education researchers re-thinking and expanding their ideas about tools for teaching statistical modeling, such as the use of code-driven tools at the secondary school level. Methods for statistical inference, such as the randomization test, are typically taught within secondary school classrooms using GUI-driven tools. A teaching experiment was conducted, using a learning task designed to introduce teachers familiar with using GUI-driven tools for teaching the randomization test to code-driven tools. Our findings from this exploratory study indicate that the design principles and considerations used to create the learning task supported teachers’ introduction to code-driven tools and encouraged an integration of statistical and computational thinking.
中文翻译:
将使用 GUI 驱动工具进行随机化测试的教师介绍到代码驱动工具
摘要
数据科学的出现导致统计教育研究人员重新思考和扩展他们对统计建模教学工具的想法,例如在中学阶段使用代码驱动工具。统计推断方法,例如随机化测试,通常在中学课堂上使用 GUI 驱动工具教授。进行了一项教学实验,使用旨在向熟悉使用 GUI 驱动工具教授随机化测试的教师介绍代码驱动工具的学习任务。我们从这项探索性研究中得出的结果表明,用于创建学习任务的设计原则和考虑因素支持了教师对代码驱动工具的介绍,并鼓励了统计和计算思维的整合。