Toward data‐scientific thinking

Toward data‐scientific thinking
复制标题

迈向数据科学思维

DOI:
--
复制
发表时间:
2021
影响因子:
0.8
通讯作者:
Robert Gould
Robert Gould
中科院分区:
--
文献类型:
--
作者:
Robert Gould

文献摘要

被引文献

相似文献

随着数据文化的发展,人们呼吁提高中小学生及其教师的数据素养。提高数据素养的一种方法是教授一门专门的数据科学课程,但是,鉴于对“数据科学”一词缺乏共识,数据科学入门课程应该包括什么?作者认为,在中学阶段,数据科学入门课程应该努力教授数据科学思维,其核心是统计思维,融合了一些计算思维和少量数学。
The growth of the data culture has led to calls for improving data literacy among primary and secondary students and their teachers. One approach to improving data literacy is to teach a course devoted to data science but, given the lack of consensus over the term “data science,” just what should an introductory data science course include? The author argues that at the secondary level, an introductory data science course should strive to teach data‐scientific thinking, which has statistical thinking at its core, blended with some computational thinking, and with a dash of mathematics.