Preparing Graduate Students for Careers in Teaching Statistics and Data Science

为研究生从事统计和数据科学教学职业做好准备

• 批准号: 1836899
• 负责人: Donna LaLonde
• 金额: $ 1.95万
• 依托单位: American Statistical Association
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-08-01 至 2019-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1836899&HistoricalAwards=false
• 关键词: Preparing; Graduate; Students; Careers; Teaching

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.

为期一天的研讨会“为研究生在统计学和数据科学教学中的职业生涯做准备”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上举行。该研讨会将为研究生和博士后研究人员提供必要的工具，为他们的学生在课堂内外开发创新和教学健全的学习经验，并实施形成性和总结性评估来指导教学实践。本次研讨会的最终目标是增加具有技能、能力和倾向的成功教师的比例，以应对复杂的面向数据的教学挑战。现有的指导方针为统计入门课程的教学和评估提供了基于研究的建议。正在进行的努力集中在内容现代化和扩展这些思想贯穿整个本科课程。在为广大学生编写将数据科学原理纳入独立课程的材料方面，以及在许多类型的统计学课程中使用以数据为中心的方法方面，也开展了大量的活动。本次研讨会的目标是为未来的教育工作者提供具体的信息，从推荐的统计学和数据科学教学实践，到提供教学和数据资源库，以及创建必要的基础设施知识，以无缝地将计算纳入课程。讨论将包括制定课程、制定评估计划和选择技术工具等决策。研讨会参与者将通过几个例子，获得主动学习、使用真实数据和技术工具（如RStudio和RMarkdown）的第一手经验。更多信息可以在研讨会网站https://sites.google.com/view/preparetoteach/homeThis上找到，该奖项反映了美国国家科学基金会的法定使命，并通过基金会的智力价值和更广泛的影响审查标准进行评估，认为值得支持。