Phase II: Building a Community around Modeling, Statistics, Computation, and Calculus

学科代码：21该项目旨在改善早期大学水平的STEM量化课程。将建模，统计，计算和微积分（MSCC）学科相互连接对于将定量课程与其他STEM学科保持一致非常重要。第一步是将微积分与建模和统计学联系起来。该项目创建了一个教育学者社区，他们可以相互了解MSCC学科之间的联系，提高对MSCC学科之间以及与其他STEM学科整合的优势的认识，改善和扩大可用于各种机构教学的资源，创造教师发展的机会，传播成功的方法，并开发材料，用于评估学生掌握有关MSCC的概念。（和其他）学科，要求跨学科的调整和传统的定量课程的加强，强调建模，统计和计算。第二阶段的建议借鉴了个别院校的成功示范，这些院校通过统一MSCC科目实现了这种一致性。其中一个例子是麦卡莱斯特学院的应用微积分/统计建模一年级课程，来自一系列学科的学生在课程中获得了对多元定量主题的强大技能和概念理解，并掌握了重要的统计技术，如协方差分析。建模是这两门课程的主要主题，现代计算也融入其中。另一个例子是阿巴拉契亚州立大学的生物微积分课程，旨在将数学和统计学融入生物课程。在这个项目中，微积分通过处理由科学数据分析激发的离散模型成功地介绍给学生。这个项目中强调的主题是STEM学生坚实的定量教育的核心。该项目使教师在不同的机构设置，帮助确保开发的材料被广泛采用。以概念清单形式进行的评估是该项目的一个组成部分，有助于展示创新的有效性。对教师发展机会的重视，包括网络研讨会和夏季研讨会，为来自广泛机构的教师吸收创新提供了一种机制。

Discipline Code: 21This project seeks to improve the early college-level STEM quantitative curriculum. Connecting the modeling, statistics, computation, and calculus (MSCC) subjects among themselves is important for aligning the quantitative curriculum with other STEM disciplines. The first step is to connect calculus to modeling and statistics. Doing so often involves the use of computer technology.This project creates a community of educator-scholars who can inform each other about the connections among the MSCC subjects, increase awareness of the advantages of integrating the MSCC subjects among themselves and with other STEM disciplines, improve and expand resources that can be useful in teaching in a variety of institutions, create faculty development opportunities to disseminate successful approaches, and develop materials useful in assessing student mastery of concepts relating to MSCC.National reports, from a wide range of STEM (and other) disciplines, call for interdisciplinary alignment and the enhancement of the traditional quantitative curriculum to emphasize modeling, statistics, and computation. This Phase II proposal draws on successful demonstrations at individual institutions which achieve this alignment by unifying the MSCC subjects.One example is the Applied Calculus/Statistical Modeling first-year courses at Macalester College in which students from a range of disciplines gain strong skills and conceptual understanding of multivariate quantitative topics and mastery of important statistical techniques such as analysis of covariance. Modeling is a major theme of both course, and modern computation is integrated into both.Another example is the bio-calculus program at Appalachian State University designed to integrate mathematics and statistics into the biology curriculum. In this program, calculus is successfully introduced to students by dealing with discrete models motivated by the analysis of scientific data.The topics emphasized in this project are at the heart of a solid quantitative education for STEM students. The project engages faculty in diverse institutional settings, helping to ensure that the materials developed are broadly adoptable. Assessment in the form of a concept inventory is an integral component of the project, which helps demonstrate the effectiveness of the innovations. The emphasis on faculty development opportunities, both webinars and summer workshops, provides a mechanism for uptake of the innovations by faculty from a broad range of institutions.