IGE: Adaptive Professional Training (APT) in STEM Graduate Education

IGE：STEM 研究生教育中的适应性专业培训 (APT)

• 批准号: 1954967
• 负责人: Mary O'Riordan
• 金额: $ 49.6万
• 依托单位: Regents of the University of Michigan - Ann Arbor
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-07-01 至 2024-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1954967&HistoricalAwards=false
• 关键词: IGE; Adaptive; Professional; Training; APT

The remarkable expansion of science and technology into our society over the last several decades have created an exciting landscape of career opportunities for students trained in science, technology, engineering, and mathematics (STEM). During this time, STEM graduate education has continued to rely largely on traditional learning models. These learning models historically have not emphasized professional skills development and career exploration, now recognized as key to long-term career success in STEM fields. Many institutions encourage students to address career and professional development needs through optional extra-curricular opportunities. The sporadic nature of these opportunities makes it difficult for students and faculty to learn about programs and to use them for effective learning. Moreover, when professional development and career exploration are not intentionally built into the arc of graduate training and assessed for effectiveness, graduate programs risk poor use of resources and an inconsistent training experience. This National Science Foundation Innovations in Graduate Education (IGE) award to the University of Michigan will develop an adaptive professional training (APT) system that will gather opportunities across the institution from different levels (e.g. department, college, university, external) into a single system. The data and knowledge gained from the system will help to guide skill development for graduate students.This project will test the idea that providing a structured learning framework for professional development guided by formative mentor feedback and artificial intelligence-directed recommendations will enable more effective professional skill-building and student career success. The proposed platform, the Adaptive Professional Training (APT) learning management system (LMS) will integrate the following key innovations: (1) a user-friendly online hub of learning opportunity listings across the institution and beyond linked with defined by core professional skill competencies, (2) adaptive and iterative learning recommendations tailored to individual needs and interests based on both mentor and trainee input, (3) portfolio building, and (4) program assessment capabilities to enable evidence-based educational policy and resource optimization. This APT LMS represents a new flexible learning paradigm by which diverse professional training opportunities can be intentionally integrated into STEM graduate education. We will test whether use of the APT LMS by a test student cohort, compared to a control student cohort, will promote more intentional time investment in professional development and more uniform improvement in defined competencies, like science communication and increased awareness of learning resources. We predict that this innovative educational approach will integrate student and mentor input, enabling planning, documentation, and engagement in a systematic manner, leading to more effective acquisition of the professional skills associated with student career success. The Innovations in Graduate Education (IGE) program is focused on research in graduate education. The goals of IGE are to pilot, test and validate innovative approaches to graduate education and to generate the knowledge required to move these approaches into the broader community.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.

在过去的几十年里，科学和技术在我们社会中的显着扩张为接受科学，技术，工程和数学（STEM）培训的学生创造了令人兴奋的就业机会。在此期间，STEM研究生教育继续主要依赖传统的学习模式。这些学习模式历来没有强调专业技能发展和职业探索，现在被认为是STEM领域长期职业成功的关键。许多机构鼓励学生通过可选的课外机会来解决职业和专业发展需求。这些机会的零星性质使得学生和教师很难了解课程，并利用它们进行有效的学习。此外，当专业发展和职业探索不是故意内置到研究生培训的弧和评估的有效性，研究生课程的风险资源利用率低，不一致的培训经验。这个国家科学基金会研究生教育创新奖（IGE）授予密歇根大学将开发一个自适应专业培训（APT）系统，该系统将从不同层次（例如部门，学院，大学，外部）收集整个机构的机会到一个单一的系统中。从该系统获得的数据和知识将有助于指导研究生的技能发展。该项目将测试这样一种想法，即提供一个结构化的学习框架，以形成导师反馈和人工智能指导的建议为指导的专业发展将使更有效的专业技能建设和学生的职业成功。 拟议的平台，适应性专业培训（APT）学习管理系统（LMS）将整合以下关键创新：（1）一个用户友好的在线学习机会列表中心，该学习机会列表在整个机构内外与核心专业技能能力相关联，（2）基于导师和受训者的输入针对个人需求和兴趣定制的自适应和迭代学习建议，（3）建立档案，（4）项目评估能力，以实现基于证据的教育政策和资源优化。这个APT LMS代表了一种新的灵活的学习模式，通过这种模式，可以将各种专业培训机会有意地整合到STEM研究生教育中。我们将测试是否使用APT LMS的测试学生队列相比，控制学生队列，将促进更多的有意的时间投资在专业发展和更统一的改进定义的能力，如科学交流和学习资源的意识提高。我们预测，这种创新的教育方法将整合学生和导师的输入，使规划，文档和参与系统的方式，导致更有效地获得与学生职业成功相关的专业技能。研究生教育创新（IGE）计划的重点是研究生教育的研究。IGE的目标是试验、测试和验证研究生教育的创新方法，并产生将这些方法推广到更广泛的社区所需的知识。该奖项反映了NSF的法定使命，并被认为值得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来支持。