Collaborative Research: CyberTraining: Implementation: Medium: Transforming the Molecular Science Research Workforce through Integration of Programming in University Curricula

越来越多的人认识到，现代技术STEM劳动力需要具备计算、编程、数据素养等方面的能力。虽然人们普遍认为科学课程应该教授计算和编程技能，但由于缺乏高质量和可用的材料、现有课程的时间限制以及教师专业知识的缺乏，实现这一目标可能是困难的。该项目将采用多方面的方法，通过在大学课程中引入编程、数据和计算，开发高质量、可重复使用的、特定于学科的课程材料，在现有的分子科学课程中采用先进的网络基础设施技能和技术，从而转变分子科学研究队伍。这项建议包括三个部分：(1)学院研究员计划将为选定的教师提供培训和指导，以开发课程资源。(2)由学院院士开发的经过严格审查的模块化、可重复使用的课程资源库；以及(3)通过专业发展研讨会和科学教育工作者的专业学习社区提供的教育者培训和支持。编程、数据和计算已成为科学研究的基本技能，但在研究生等早期职业科学家中往往发展不足。这个项目开发了一种多方面的方法，将通过在大学课程中早期引入编程、数据和计算来改变分子科学研究人员的队伍。这项计划将通过针对服务于弱势群体的教育工作者的教师培训和发展，扩大研究人员的参与。教师培训是这项提议的核心-该项目将提供针对少数族裔服务机构(MSI)教师的专业发展研讨会，以及一个长期的学院研究员计划，该计划将产生可在许多机构使用的培训材料。及早将网络基础设施(CI)技能融入大学课程，将确保学生在开始科学研究时拥有核心CI能力，对国家研究工作产生革命性影响。该奖项反映了NSF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。

There is a growing recognition that the modern technical STEM workforce requires competence in computation, programming, data literacy, and more. While there is broad consensus that science curricula should teach computational and programming skills, achieving this goal can be difficult due to a lack of high-quality and available materials, time constraints in the existing curriculum, and lack of instructor expertise. This project will adopt a multifaceted approach to transform the molecular sciences research workforce by introducing programming, data, and computation in university curricula by developing high-quality, reusable, discipline-specific curricular materials that adopt advanced cyberinfrastructure skills and technology into the existing molecular sciences curricula. This proposal has three components: (1) A Faculty Fellows Program will provide training and mentorship for selected faculty developing curricular resources. (2) A library of well-vetted modular, reusable curricular resources developed by Faculty Fellows; and (3) Educator Training and support provided through professional development workshops and a professional learning community for science educators.Programming, data, and computation have become essential skills for scientific research, but are often underdeveloped in early career scientists such as graduate students. This project develops a multifaceted approach that will transform the molecular sciences research workforce through early introduction of programming, data, and computation in university curricula. This program will broaden participation in the research workforce through faculty training and development targeted at educators serving underserved groups. Faculty training is central to this proposal - this project will provide professional development workshops aimed at faculty at minority-serving institutions (MSIs),and a longer-term Faculty Fellows program that will yield training materials that can be used across many institutions. Early integration of cyberinfrastructure (CI) skills into the university curriculum will ensure that students have core CI competencies as they begin scientific research, having a transformative effect on the nation's research workforce.This 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.