Preparing Graduate Students for Careers in Teaching Statistics and Data Science

为期一天的研讨会“为研究生从事统计学和数据科学教学做好准备”，将于2018年7月28日星期六在不列颠哥伦比亚省温哥华举行的联合统计会议期间举行。讲习班将为研究生和博士后研究人员提供必要的工具，以便为他们的学生在课堂内外发展创新和教学健全的学习体验，并实施形成性和终结性评估，以指导教学实践。该研讨会的最终目标是增加成功教师的比例，他们拥有技能、能力和倾向于接受复杂的面向数据的教学挑战。现有准则为统计学入门课程的教学和评估提供了基于研究的建议。正在进行的努力将重点放在内容的现代化上，并将这些想法推广到整个本科课程。还开展了大量活动，编写教材，将数据科学原理纳入面向广大学生的独立课程，并在许多类型的统计课程中使用以数据为中心的方法。这次讲习班的目标是向未来的教育工作者提供具体的信息，从教授统计学和数据科学的建议做法，到提供教学和数据资源库，以及创建将计算无缝地纳入课程所需的基础设施知识。讨论将包括制定课程、制定评估计划和选择技术工具所涉及的决策。研讨会与会者将通过几个示例，并通过主动学习、使用真实数据以及RStudio和RMarkdown等技术工具获得第一手经验。更多信息可在研讨会网站上找到，https://sites.google.com/view/preparetoteach/homeThis奖反映了国家科学基金会的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

The one-day workshop, "Preparing Graduate Students for Careers in Teaching Statistics and Data Science", will be held Saturday, July 28, 2018 in conjunction with the Joint Statistical Meetings in Vancouver, British Columbia. The workshop will provide graduate students and post-doctoral researchers with the tools necessary to develop innovative and pedagogically-sound learning experiences for their students, both inside and outside the classroom, and to implement formative and summative assessment to guide instructional practice. The ultimate objective of this workshop is to increase the proportion of successful instructors who have the skills, capacity, and inclination to take on the challenges of complex data-oriented teaching. Existing guidelines provide research-based recommendations for the pedagogy and assessment in introductory statistics courses. Ongoing efforts focus attention on modernizing the content and extending these ideas throughout the undergraduate curriculum. There has also been tremendous activity in developing materials for bringing principles of data science into stand-alone courses for broad student audiences, as well as using data-centric approaches in many types of statistics courses. The goal of this workshop is to equip future educators with concrete information ranging from recommended practices in teaching statistics and data science, to providing repositories of teaching and data resources, and creating the infrastructure knowledge necessary to seamlessly incorporate computing into the curriculum. Discussions will include decisions involved in developing curriculum, creating an assessment plan, and choosing technology tools. Workshop attendees will work through several examples and gain first-hand experience with active learning, use of real data, and technology tools such as RStudio and RMarkdown. More information can be found at the workshop website https://sites.google.com/view/preparetoteach/homeThis award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.