Factors influencing participants' selection of individual REU sites

Economy, David Ross; Martin, Julie P.; Kennedy, Marian S.

doi:10.1109/fie.2013.6685032

Cited by 6 publications

(5 citation statements)

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“…Undergraduate research is a challenging topic both in academia and in practice. Current research mainly focuses on the benefits of undergraduate research in various disciplines and universities (Goodlad, 1998;Hathaway, Nagda, & Gregerman, 2002;John & Creighton, 2011;Russell et al, 2007), strategies to promote undergraduate research (Ryser et al, 2009;Snow et al, 2010), and factors that influence undergraduates' decision-making in choosing research projects (Economy et al, 2014;Economy, Martin, & Kennedy, 2013;Hancock & Russell, 2008). Among them, this paper focuses on the factors that influence undergraduates' decision-making in choosing research projects.…”

Section: Undergraduate Researchmentioning

confidence: 99%

“…Economy et al () summarized the influence factors and found that the interestingness of research project, personal interaction with faculty, stipend and housing, closeness to home, and first acceptance influenced undergraduates' engagement with research projects. Interest in the research project was the primary factor that influenced undergraduates' selection of research projects (Economy et al, ; Economy et al, ). In the selection of research projects, undergraduates' social connections with research project supervisors are also very important.…”

Section: Literature Reviewmentioning

confidence: 99%

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A social recommendation system for academic collaboration in undergraduate research

Liu

Yang

et al. 2018

Expert Systems

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Academic collaboration plays an important role in undergraduate research. Current methods rely on offline social contacts for undergraduate students to collaborate with academic staff members in universities and research institutions. In big data era, it is difficult for undergraduate students to find suitable research project opportunities and supervisors to work with. This paper proposes a social recommendation system for undergraduate students to find research project opportunities and work with research project teams on an academic collaboration network. The proposed recommendation method integrates relevance, connectivity, and quality modules, where profiles of undergraduates are constructed with their self‐claimed information, research activities (e.g., studying and reading research publications and reading research projects), and social connections in the academic collaboration network. Suitable research projects are recommended based on the undergraduates' profiles. Experiments are conducted, and the results have shown that the proposed social recommendation system can facilitate undergraduates' selection of research projects.

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Section: Undergraduate Researchmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

A social recommendation system for academic collaboration in undergraduate research

Liu

Yang

et al. 2018

Expert Systems

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“…Thus, a problem exists given the limited participation of minoritized student populations in REU programs. It has been found that among the most important factors for students when accepting an REU offer are: stipend, housing and meal package (Economy et al ., 2013). Although participants generally receive a stipend of $6,000 for participating in the REU programs, those funds are not available in advance.…”

Section: Introductionmentioning

confidence: 99%

NSF REU entrepreneurially minded applied energy program evaluation: traditional delivery versus alternative delivery (implemented during COVID-19)

Bosman

Soto

Ostanek

et al. 2023

JARHE

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PurposeThe National Science Foundation (NSF) Research Experience for Undergraduates (REU) programs are traditionally delivered in-person and full-time (40 h per week) for 10 weeks during the summer. However, this type of format has the potential to limit broader student participation. This study aims to compare learning assessment data between a traditional NSF REU (10 weeks of summer, full-time, in-person) to an alternative NSF REU delivered virtually, part-time and over 10 months as a result of the coronavirus disease 2019 (COVID-19) pandemic.Design/methodology/approachA retrospective pre-then-post survey was completed to assess perceived learning gains for each REU program. Three learning gains categories were assessed: entrepreneurial competencies, career goals and research skill development. T-tests were used to evaluate a difference in means between pre and post.FindingsFindings show the greatest quantity of learning gains within the alternative program delivery. Moreover, a larger quantity of learning gains was perceived within the first semester of the alternative program delivery compared to the second semester.Practical implicationsThe authors propose the NSF should be intentional about trying new approaches to REU programs delivery, including duration and format, as a way to broaden participation in engineering.Originality/valueThis study is original in that it is the first of its kind to assess an alternative REU program delivery (allowed only because of the COVID-19 pandemic) in comparison to traditional REU program delivery.

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“…Many students apply to multiple sites and must make a decision as to which offer to accept. Economy, Martin and Kennedy [4] suggest that students choose between sites based on the level of stipend provided, comparing research topics at the different institutions and by the dates that they receive their offers on.…”

Section: Reu Sitesmentioning

confidence: 99%

Research Experiences for Undergraduates' Social Programs: A Key Ingredient for Success

Straub

2020 ASEE Virtual Annual Conference Content Access Proceedings

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He holds a Ph.D. in Scientific Computing, an M.S. and an M.B.A. and has published over 40 journal articles and over 120 full conference papers, in addition to making numerous other conference presentations. Straub's research spans the gauntlet between technology, commercialization and technology policy.In particular, his research has recently focused on cybersecurity topics including intrusion detection and forensics, robotic command and control, aerospace command and 3D printing quality assurance. Straub is a member of Sigma Xi, the AAAS, the AIAA and several other technical societies, he has also served as a track or session chair for numerous conferences.

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Factors influencing participants' selection of individual REU sites

Cited by 6 publications

References 5 publications

A social recommendation system for academic collaboration in undergraduate research

A social recommendation system for academic collaboration in undergraduate research

NSF REU entrepreneurially minded applied energy program evaluation: traditional delivery versus alternative delivery (implemented during COVID-19)

Research Experiences for Undergraduates' Social Programs: A Key Ingredient for Success

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