在线统计教学
Online Statistics Teaching and Learning
摘要：
对各级统计课程而言，网上教与学带来了不同方面的挑战。具体的在线挑战包括如何有效地和交互式地进行探索性数据分析，如何纳入统计编程，如何包括个人或团队项目，以及如何有效地呈现数学推导。本文借鉴了作者在七个不同的在线统计课程中的经验，以解决上述一些挑战。其中一门课程是鲍灵格林州立大学教授的在线探索性数据分析课程。第二门课程是在瓦萨学院教授的高级贝叶斯统计课程，并通过混合模型在10所文理学院之间共享。我们还介绍了杜克大学在Coursera上提供的五门课程MOOC专业化。
英文摘要：
For statistics courses at all levels, teaching and learning online poses challenges in different aspects. Particular online challenges include how to effectively and interactively conduct exploratory data analyses, how to incorporate statistical programming, how to include individual or team projects, and how to present mathematical derivations efficiently and effectively. This article draws from the authors' experience with seven different online statistics courses to address some of the aforementioned challenges. One course is an online exploratory data analysis course taught at Bowling Green State University. A second course is an upper level Bayesian statistics course taught at Vassar College and shared among 10 liberal arts colleges through a hybrid model. We alo describes a five-course MOOC specialization on Coursera, offered by Duke University.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
