Targeted Infusion Project: Infusing Data-Enabled Active Learning in Mathematics and Statistics Courses

历史上的黑人学院和大学本科生计划（HBCU-UP）通过有针对性的输液项目支持开发，实施和基于证据的创新模式和方法的研究，以提高HBCU本科生的准备和成功，使他们可以追求STEM研究生课程和/或职业。最近的技术进步正在以前所未有的规模产生数据-这种现象被称为“大数据”。行业需要能够从非常复杂的非结构化数据中检索有用信息的工作人员。亚拉巴马州立大学将实施一个有针对性的注入项目，题为：注入数据启用主动学习数学和统计课程。项目目标是调整数学课程中的大数据分析方法;将大数据分析纳入现有课程;创建一个专门用于大数据分析数学的独立课程;开发和测试教学材料;收集和分析基于学生和行业反馈的成果;并向其他HBCU和数学界传播材料。该项目将更好地了解如何将大数据分析整合到课堂环境中。所获得的结果将转化为数学课程中教授大数据分析所需的教学法和材料框架。将讨论几个问题，这些问题可以增加该领域的知识基础。其中包括需要在数学课程中整合大数据分析;需要可以与各种教科书一起使用的支持材料;包括大数据分析的课程对学生学习和就业的影响;以及让学生参与跨学科研究团队以解决真实的大数据问题的影响。一个在线社区门户将提供一种传播、交流和社区参与的手段。

The Historically Black Colleges and Universities Undergraduate Program (HBCU-UP) through Targeted Infusion Projects supports the development, implementation, and study of evidence-based innovative models and approaches for improving the preparation and success of HBCU undergraduate students so that they may pursue STEM graduate programs and/or careers. Recent advances in technology are generating data on a scale never seen before - a phenomenon known as "big data". Industry demands workers that can retrieve useful information from very complex, unstructured data. Alabama State University will implement a Targeted Infusion Project entitled: Infusing Data-Enabled Active Learning in Mathematics and Statistics Courses. Project objectives are to adapt methods for big data analytics in mathematics courses; integrate big data analytics in existing courses; create a stand-alone course dedicated to the mathematics of big data analytics; develop and test instructional materials; collect and analyze achievement of outcomes based on student and industry feedback; and disseminate materials to other HBCUs and to the mathematical community.This project will provide a better understanding of how big data analytics can be integrated within a classroom environment. The results obtained will translate into a framework of pedagogy and materials required for teaching big data analytics in mathematics courses. Several issues will be addressed that can add to the knowledge base in the field. These include the need for integrating big data analytics in mathematics courses; the need for support materials that can be used with a variety of textbooks; the impact of courses that include big data analytics on student learning and employment; and the impact of involving students in cross-disciplinary research teams to solve real big data problems. An online community portal will provide a means of dissemination, communication, and community involvement.