NRT-IGE: PhD Career Ladder Program: A grassroots approach to career development
NRT-IGE: PhD Career Ladder Program: A grassroots approach to career development
批准号:
1735210
负责人:
Kathleen Ehm
金额:
$48.83万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-09-01 至 2023-08-31
中文摘要
石溪大学的博士职业阶梯计划是由研究生为研究生开发的,是博士职业发展和探索的一个灵活且经济高效的全国性模式。理科博士生获得教职的传统职业道路不再可靠。最近的许多报告呼吁大学提供更好的职业发展和准备,以帮助这些训练有素的科学家和工程师在更广泛的工作部门从事富有成效和令人满意的职业。为了创造必要的文化变革并提供这些资源,机构需要具有成本效益、易于适应、可以自下而上转型的模式。博士职业阶梯计划是一个由学生主导的职业指导计划,它将带领学生经历自我评估、职业探索和求职准备的八个步骤。由于该项目是草根和对等的,它为探索学术界内外的职业道路创造了一个支持性的空间,并鼓励学生对职业目标的坚持不懈。这一国家科学基金会研究培训(NRT)奖设在石溪大学的研究生教育创新(IGE)轨道上,将专注于扩大、改进和制度化博士职业阶梯计划,并测试其作为职业发展工具的有效性。该奖项将使石溪大学能够将现有的博士职业阶梯计划(PCLP)扩展到新的群体,并为新的同行领导者开发标准化培训。将通过评估其对参与者的影响以及其方案内容的效力来评估该方案的成功。关键措施包括增加学生的职业知识和技能,增强学生对自己职业前景的信心,转移技能和求职技能,拓宽学生的视野?职业视野包括追求学术之外的职业,以及培养一批新的学生领袖。这项评估还将衡量以研究为基础的心理社会变量,如科学身份的转变,以及感觉到的身份与不同职业道路的兼容性。该方案,包括新的培训员培训部分和将PCLP扩展到新的学生群体,将在整个项目过程中进行形成性评估,并在项目结束时进行总结性评估。最后,关于这一具有高度适应性和成本效益的模式的研究结果将通过在线档案资料交换中心和项目实施工具包广泛传播。NSF研究培训(NRT)计划旨在鼓励为STEM研究生教育培训开发和实施大胆的、新的、潜在的变革性模式。研究生教育创新轨道专门致力于试验、测试和评估研究生教育的新颖、创新和潜在的变革性方法。
英文摘要
Stony Brook University's PhD Career Ladder Program, developed by graduate students, for graduate students, serves as a nimble and cost-effective national model for PhD career development and exploration. The traditional career pathway for PhD students in the sciences, leading to a faculty job, is no longer reliable. Numerous recent reports have called on universities to provide better career development and preparation to help these highly-trained scientists and engineers go on to productive and satisfying careers in a broader range of job sectors. To create the necessary culture change and provide these resources, institutions need cost-effective, easily adaptable models that can transform from the bottom up. The PhD Career Ladder Program is a student-led career mentoring program that takes students through an eight-step curriculum of self-assessment, career exploration and preparation for a job search. Because the program is grassroots and peer-to-peer, it creates a supportive space for exploration of career paths inside and outside of academia and encourages persistence toward students' career goals. This National Science Foundation Research Traineeship (NRT) award in the Innovations in Graduate Education (IGE) Track to Stony Brook University will focus on expanding, improving and institutionalizing the PhD Career Ladder Program, and testing its effectiveness as a career development tool.This award will allow Stony Brook to expand the existing PhD Career Ladder Program (PCLP) to new cohorts and develop standardized training for new peer leaders. The success of PCLP will be assessed through evaluation of its impact on participants as well as the effectiveness of its programmatic elements. Key measures include increasing student career knowledge and skills, enhancing students' confidence in their career prospects, transferable skills and job-search skills, broadening students? career horizons to include the pursuit of careers beyond academia, and cultivating a pipeline of new student leaders. The assessment also will measure research-grounded psychosocial variables such as shifts in scientific identity and perceived identity compatibility with diverse career pathways. The program, including the new train-the-trainers component and the expansion of PCLP to new student cohorts, will be assessed formatively throughout the project as well as summatively at the end of the project. Finally, findings on this highly adaptable and cost-effective model will be disseminated broadly, through an online clearinghouse of archived material and a program implementation toolkit.The NSF Research Traineeship (NRT) Program is designed to encourage the development and implementation of bold, new, potentially transformative models for STEM graduate education training. The Innovations in Graduate Education Track is dedicated solely to piloting, testing, and evaluating novel, innovative, and potentially transformative approaches to graduate education.
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