Equity-Focused, Evidence-Based Proactive Advising in Mechanical and Aerospace Engineering

该项目旨在通过实施以人为本、数据为依据的主动咨询方法，提高学生对工程专业的坚持和承诺，从而为国家利益服务。主动咨询课程将帮助学生利用、内化和优化不断增加的资源、课外活动和可用的支持服务。这种方法是个性化的，使用数据分析将正式和非正式的学习机会与每个学生的独特优势、需求和目标相匹配。除了解决持久性的直接挑战外，该方法还为利用大数据的潜力为所有学生（包括来自代表性不足的工程群体的学生）理解、记录和通知个性化学习提供了难得的、潜在的革命性机会，这被认为是工程学的重大挑战之一。该项目将在以证据为基础的概念框架和明确的公平重点基础上制定一种积极主动的咨询方法。主动咨询课程建立在以证据为基础的人物角色和个性化优化的方案支持之上。角色将产生于首个多维数据集成模型。经过专门培训的同伴和专业顾问将使用基于证据的角色，通过整合新形式的以人为中心的动机数据来构建角色，作为协作决策过程的一部分，以符合学生优势的方式优化资源和支持，并建立效能和代理。NSF IUSE: EDU项目支持研究和开发项目，以提高所有学生STEM教育的有效性。通过参与学生学习轨道，该计划支持有前途的实践和工具的创建，探索和实施。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

This project aims to serve the national interest by improving student persistence and commitment to the profession of engineering by implementing a person-centered, data-informed approach to proactive advising. The proactive advising curriculum will help students take advantage of, internalize, and optimize the ever-increasing array of resources, co-curricular activities, and support services that are available. The approach is individualized using data analytics to match formal and informal learning opportunities to the unique strengths, needs, and goals of each student. In addition to addressing the immediate challenge of persistence, the approach offers a rare and potentially revolutionary opportunity for harnessing the potential of big data for understanding, documenting, and informing personalized learning for all students, including students from groups underrepresented engineering, which is recognized as one of the grand challenges of engineering.This project will develop a proactive advising approach grounded in an evidence-based conceptual framework and explicit equity focus. The proactive advising curriculum builds on evidence-based personas and individually optimized programmatic supports. The personas will result from a first-of-its-kind multidimensional data integration model. Specially trained peer and professional advisors will use the evidence-based personas, constructed by integrating new forms of person-centered motivational data, as part of the collaborative decision-making process to optimize resources and support in a manner consistent with the student’s strengths and for building efficacy and agency. The NSF IUSE: EDU Program supports research and development projects to improve the effectiveness of STEM education for all students. Through the Engaged Student Learning track, the program supports the creation, exploration, and implementation of promising practices and tools.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.