For more than 30 years, the US National Science Foundation's Research Experiences for Undergraduates (REU) program has supported thousands of undergraduate researchers annually and provides many students with their first research experiences in field ecology or evolution. REUs embed students in scientific communities where they apprentice with experienced researchers, build networks with their peers, and help students understand research cultures and how to work within them. REUs are thought to provide formative experiences for developing researchers that differ from experiences in a college classrooms, laboratories, or field trips. REU assessments have improved through time but they are largely ungrounded in educational theory. Thus, evaluation of long‐term impacts of REUs remains limited and best practices for using REUs to enhance student learning are repeatedly re‐invented. We describe how one sociocultural learning framework, cultural–historical activity theory (CHAT), could be used to guide data collection to characterize the effects of REU programs on participant's learning in an educationally meaningful context. CHAT embodies a systems approach to assessment that accounts for social and cultural factors that influence learning. We illustrate how CHAT has guided assessment of the Harvard Forest Summer Research Program in Ecology (HF‐SRPE), one of the longest‐running REU sites in the United States. Characterizing HF‐SRPE using CHAT helped formalize thoughts and language for the program evaluation, reflect on potential barriers to success, identify assessment priorities, and revealed important oversights in data collection.
The Research Experience for Undergraduates (REU) Principal Investigators (PI) Guide: Development of a best practices website.
With the help of the National Science Foundation (NSF), many Principal Investigators (PIs) have been able to mentor undergraduates through Research Experience for Undergraduates (REU) site awards. These REU sites are critical to the development of future graduate students, but can be challenging to run due to several required skills outside the scope of most faculty members' expertise, e.g., recruiting applicants, navigating the logistics of housing visiting undergraduate students, and tracking student outcomes after their REU experiences. In recent years, REU PIs in NSF's Computer & Information Science & Engineering (CISE) Directorate have come together through PI meetings to share best practices for running a successful REU site. While PIs inevitably take different approaches to running their sites based on their research projects, there is still a need to provide new PIs with guidance on the different aspects of an REU site such as identifying resources that can assist in recruiting women and underrepresented minority applicants, providing training for graduate students acting as mentors, and strategies for keeping a mentoring connection to undergraduate researchers after they return to their home institutions.
Currently, REU site preparation and orientation for new PIs is a face-to-face process that requires careful planning and significant travel costs. The REU PI Guide, a set of web-based resources at https://www.vrac.iastate.edu/cise-reu-pi-resources/, was developed to share best practices of experienced PIs and build capacity within the REU PI community in a more scalable and cost-effective way. The REU PI Guide allows PIs to look up advice and guidance when needed and share their own best practices. This paper describes our approach to designing the REU PI Guide. The Guide is a database of documents, examples, and overviews of the different aspects of running an REU site. The Guide was developed by assessing new PIs' needs at an NSF workshop for new PIs, gathering existing resources from experienced PIs, creating and refining a website, and evaluation with new PIs. The website’s content and design will be refined through on-going feedback from PIs and other REU site stakeholders. This site has the potential broader impact to share best practices with REU PIs outside the CISE directorate and significantly ease the process of engaging future scientists via REU sites.
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- Award ID(s):
- 1647742
- NSF-PAR ID:
- 10065693
- Date Published:
- Journal Name:
- ASEE Annual Conference proceedings
- ISSN:
- 1524-4644
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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Abstract -
Since the summer of 2006, the NSF-funded AERIM Research Experience for Undergraduates (REU) program in the department of Mechanical Engineering at Oakland University has been offering rich research, professional development, networking and cohort-building experiences to undergraduate students in the science, technology, engineering and math (STEM) fields. With a focus on hands-on automotive and energy research projects and a proximity to many automotive companies, the program has been successful at attracting a diverse group of students. In fact, a total of 104 students from 70 different universities have participated in the program over the past 15 years, with about 70% of the participants coming from groups that have traditionally been underrepresented in engineering (women in particular). Most research projects have been team-based and have typically involved experimental and analytical work with perhaps a handful of numerical simulation-based projects over the years. Prior assessment has shown that students greatly valued and benefited from interacting with faculty mentors, industry professionals, industry tours, and each other. As a result of limitations placed on in-person meeting and on-campus activities impacted by the Covid-19 pandemic, the program had to pivot to a virtual format in the summer of 2021. This virtual format brought about several challenges and opportunities, which will be discussed in this paper. Despite the virtual format, the program was successful at attracting a diverse group of students in 2021. Twelve undergraduate students from eight different institutions took part remotely in the program and encompassed several time zones ranging from Eastern Standard Time to Alaska Standard Time. The 2021 cohort included seven women, three underrepresented minorities, and two students with a reported disability. Also noteworthy is the fact that half of the students were first generation in college students. While the PIs were happy with the student make up, running the program in a virtual format was very challenging. For one, what was traditionally a hands-on, experimental research program had to pivot to completely simulation/analytical based projects. This brought about issues related to remote access to software, time lags and difficulties with engaging students while computer simulations were running remotely. While the program was able to offer several seminars and meetings with industry professionals in a virtual fashion, it was not possible to provide industry tours or the casual conversations that would spontaneously occur when meeting face to face with industry professionals. Finally, with students logging in from their homes across the country and across different time zones rather than living together in the Oakland University dorms, the usual bonding and group interactions that would normally occur over the summer were difficult to replicate. In this paper we discuss what was learned from these challenges and how the virtual format also offered opportunities that will be utilized in future years.more » « less
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