Collaborative Proposal: CI-TEAM DIFFUSION: PORTAL, Pedagogical Open-access Research-based Tools for Advancing Learning in Science and Engineering

同伴教育（PI）是一种强大的，以研究为基础的教学法（RBP），它利用网络基础设施的力量以前所未有的方式推进SE（SE）教育中的学习。这是一种技术驱动的教学法，已蔓延到每个STEM学科，并进入社会科学和人文科学。超过400名知名教师，教过50，000多名学生，在世界各地的课堂上使用PI，这是一种基于证据的方法，得到了超过15年的研究支持。有证据表明，PI的有效实施与STEM的统计学显著的积极学习成果相关，最重要的是-解决与代表性不足的少数群体的教育经历有关的持久性问题。这些结果是令人鼓舞的，但限制性商业惯例，如PI需要有效的实施，以实现在SE学生学习的方式实际改善。最近的RBP实施研究表明，教师在如何使用PI上各不相同，往往使其无效。目前的限制性商业惯例传播方法没有对教员进行充分培训，使他们能够有效地将限制性商业惯例纳入课堂并取得预期成果。这个CI-TEAM扩散项目是哈佛大学和德克萨斯大学奥斯汀分校之间的合作项目。PI的开发人员和一个现存的UT-奥斯汀350万美元的倡议，将RBP整合到一个额外的现存的数百万美元的UT网络学习倡议的科学称为探索的管理，正在开发一个集中的，开源的RBP扩散网络中心：门户，教学开放访问研究为基础的工具，促进科学和工程学习。PORTAL正在构建Quest框架，该框架使用开源工具（Ruby）编写。该项目的愿景是提供一个集中和免费的网络中心，通过10个基于认知科学和人机交互理论的计算机培训（CBT），以及三个针对哈佛大学，UT-奥斯汀，整个UT系统的教师和教师开发人员的暑期学院，然后在国家和国际范围内传播RBP。门户利用建立的伙伴关系和之前的NSF投资，以实现以下成果：1）一个新的，高度多样化的一代网络就绪的科学，计算科学和工程工人训练有素的使用和创新的网络资源和工具; 2）在高科技职业中代表性不足的少数民族的参与扩大; 3）由国家人才库开发的新颖的网络创新，改变我们在世界上的生活方式;最终4）提高国家科学和工程的竞争力。门户网站的主要目标是扩大对SE的参与，因此，为我们的下一代高科技劳动力开辟道路，着眼于确保计算科学学生和工程师的全部人才库在进入就业市场时都能做好网络准备。通过实现拟议的基准，该项目将培养科学相关课程和职业的更大多样性，使用经证明可提高所有学生（包括女性和少数民族）在STEM中的主题和学业成绩、保留率和主题知识的教学方法。为实现这一目标，该小组在项目管理小组中包括了一名扩大参与的专家，并在美国最大的公共机构建立了一个部署地点，该机构是少数群体任职人数最少的机构之一。这是一个独特的项目，旨在通过利用网络基础设施将RBP传播到广泛，多样化，大规模的人口通过CBT。PORTAL为那些努力在SE教育中实施有效的教学改革，但无法承诺进行更高门槛举措所需的人员或机构重组的机构提供了一种新颖的低成本替代方案。此外，门户利用德州大学奥斯汀分校的教育转型计划和网络基础设施，以及领先的RBP开发人员二十年的经验，这些开发人员在国家STEM教育改革运动中从事了一些最广泛的教学传播工作。最后，所有项目工作都由经验丰富的教育研究人员管理，并以有效传播，互动教学，人机交互理论，认知科学和学习理论的研究为基础。

Peer Instruction (PI) is a robust, research-based pedagogy (RBP) that has leveraged the power ofcyberinfrastructure to advance learning in SE (S & E) education in unprecedented ways. It is a technology-driven pedagogy that has spread throughout each of the STEM disciplines, and into the social sciences and humanities. More than 400 known instructors, who have taught more than 50,000 students, use PI in classrooms all over the world and it is a evidence-based method supported by more than 15 years of research. Evidence indicates that effective implementation of PI correlates with statistically significant positive learning outcomes in STEM, most importantly -- addressing persistence issues pertaining to the educational experience of underrepresented minorities. These outcomes are encouraging, but RBPs such as PI require effective implementation in order to achieve actual improvements in the way SE students learn. Recent RBP implementation research indicates that instructors vary in how they use PI, often rendering it ineffective. Present RBP dissemination methods do not adequately train instructors to effectively incorporate RBPs into their classrooms and achieve desired outcomes. A centralized RBP diffusion mechanism should prevent such misapplications.This CI-TEAM Diffusion project is a collaboration between Harvard University and the University of Texas, Austin. The developers of PI and the management of an extant UT-Austin $3.5 million initiative to integrate RBPs into an additional extant multi-million dollar UT cyberlearning initiative in the sciences called Quest, are developing a centralized, open-source RBP diffusion cyberhub: PORTAL, Pedagogical Open-access Research-based Tools for Advancing Learning in Science and Engineering. PORTAL is building the Quest framework, which was written using open source tools (Ruby). The vision of this project is to offer a centralized and free cyberhub for the diffusion of RBPs through 10 Computer-Based Trainings (CBTs) grounded in cognitive science and human-computer interaction theory, and three Summer Institutes targeting faculty and faculty developers at Harvard University, UT-Austin, the entire UT System, and then on a national and international scale. PORTAL leverages established partnerships and prior NSF investments to achieve the following outcomes: 1) a new, highly-diverse generation of cyber-ready science, computational science, and engineering workers expertly trained to use and innovate cyberresources and tools; 2) Broadened participation among underrepresented minorities in high technology careers; 3) novel cyber-innovations, developed by the full pool of national talent, that transform how we live in the world; and ultimately 4) increased national science and engineering competitiveness.BROADER IMPACT:The key objective of PORTAL is to broaden participation in SE and as such, to open pathways for the next generation of our high-technology workforce, with an eye toward ensuring that the full talent pool of computational science students and engineers are cyberready when they hit the job market. By achieving proposed benchmarks, the project will nurture greater diversity in science -related programs and careers using instructional methods proven to improve engagement in subject-matter and academic performance, retention, and subject-matter knowledge in STEM among all students, including women and racial minorities. Towards meeting this goal, this team has included a broadening participation specialist on the project management team and has developed a deployment site at the largest public institution in the United States with one of the highest-underrepresented minority-serving profiles.INTELLECTUAL MERIT: This is unique as a project seeking to transform educational experiences for SE students by leveraging the cyberinfrastructure to diffuse RBPs to a broad, diverse, large-scale population through CBTs. PORTAL provides a novel, low-cost alternative for institutions striving to implement effective teaching and learning reform in SE education, but unable to commit the personnel or institutional restructuring required for higher-threshold initiatives. Moreover, PORTAL harnesses an established educational transformation initiative and cyberinfrastructure at UT-Austin and two decades of experiences by leading RBP developers who have engaged in some of the most widespread pedagogical dissemination efforts in the national STEM education reform movement. Finally, all project efforts are managed by an experienced educational researcher and grounded in research on effective dissemination,interactive teaching, human-computer interaction theory, cognitive science, and learning theory.