论文标题
将计算在统计和数据科学课程中集成：创造性结构，新颖的技能和习惯以及教授计算思维的方法
Integrating computing in the statistics and data science curriculum: Creative structures, novel skills and habits, and ways to teach computational thinking
论文作者
论文摘要
Nolan和Temple Lang（2010）主张计算在统计课程中的基本作用。在随后的十年中，统计教育界已经承认，计算技能对统计和数据科学实践与数学一样重要。但是，我们的意图和行动之间仍然存在一个显着的差距。在 *统计与数据科学教育杂志的本期本期中 *我们组装了一系列论文，（1）提出了整合计算的创造性结构，（2）描述了新颖的数据科学技能和习惯，以及（3）提出了教授计算思维的方法。我们认为，对于社区而言，要加倍努力在统计和数据科学课程中加倍努力。我们希望这些论文为社区提供了有用的指导，以推动这些努力前进。
Nolan and Temple Lang (2010) argued for the fundamental role of computing in the statistics curriculum. In the intervening decade the statistics education community has acknowledged that computational skills are as important to statistics and data science practice as mathematics. There remains a notable gap, however, between our intentions and our actions. In this special issue of the *Journal of Statistics and Data Science Education* we have assembled a collection of papers that (1) suggest creative structures to integrate computing, (2) describe novel data science skills and habits, and (3) propose ways to teach computational thinking. We believe that it is critical for the community to redouble our efforts to embrace sophisticated computing in the statistics and data science curriculum. We hope that these papers provide useful guidance for the community to move these efforts forward.
