Research Experience for Undergraduates (REU) programs have been credited for attracting and retaining students in science and engineering who otherwise may not have considered disciplines in science and engineering as their career choices. In addition to core research activities, REU programs generally provide multiple enrichment and professional development activities for participants. While the nature and the number of professional development activities vary from one REU program to another, the most common activities include ethics and safety training, research and industry seminars, GRE workshops, writing workshops, graduate school application preparation, and industry visits. Furthermore, some of these professional development activities are also conducted in large group settings with students from other research programs beyond the REU cohort. The rationale behind combining REU students with other researchers is to create a community of learners and provide them with an opportunity to build/extend their professional network. Although professional development activities are an integral part of the REU sites, there is often very limited coverage of such activities in the existing literature on REU projects. This paper presents the impact of professional development activities on the experience of REU participants in a manufacturing REU site at a major research university in the southwestern United States. For this study, data was collected from participants by an external evaluator by using both qualitative and quantitative methods. This paper presents and describes the cumulative data from three REU cohorts. The analysis and results of the data are disaggregated by the student academic level (sophomore, junior, senior), gender, ethnicity, the type of their home institutions (research or teaching institution), and desired career paths in the future (graduate school or industry). The paper also provides a detailed discussion and implications of these findings.
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Assessing the Impact of an REU Program on Students’ Intellectual Growth and Interest in Graduate School in Cybermanufacturing
Advancements in information technology and computational intelligence have transformed the manufacturing landscape, allowing firms to produce highly complex and customized product in a relatively short amount of time. However, our research shows that the lack of a skilled workforce remains a challenge in the manufacturing industry. To that end, providing research experience to undergraduates has been widely reported as a very effective approach to attract students to industry or graduate education in engineering and other STEM-based majors. This paper presents assessment results of two cohorts of Cybermanufacturing REU at a major university. Students were recruited from across the United States majoring in multiple engineering fields, such as industrial engineering, mechanical engineering, chemical engineering, mechatronics, manufacturing, and computer science. Several of the participants were rising sophomores or juniors who did not have any industry internship or prior research experience. In total 20 students
(ten per year) participated in the program and worked on individual project topics under the guidance of faculty and graduate student mentors. Unlike a typical REU program, the
Cybermanufacturing REU involved a few unique activities, such as a 48-hour intense design and prototype build experience (also known as Aggies Invent), industry seminars, and industry visits. Overall, the REU students demonstrated significant gains in all of the twelve research-related competencies that were assessed as a part of formative and summative evaluation process. While almost all of them wanted to pursue a career in advanced manufacturing, including Cybermanufacturing, the majority of the participants preferred industry over graduate school. The paper provides an in-depth discussion on the findings of the REU program evaluation and its impact on undergraduate students with respect to their future plans and career choice. The analysis is also done by gender, ethnicity, academic level (sophomore, junior, senior), and type of home institution (e.g., large research universities, rural and small schools) to explore if there was any
significant difference in mean research competency scores based on these attributes.
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- Award ID(s):
- 1757882
- NSF-PAR ID:
- 10220291
- Date Published:
- Journal Name:
- 2020 ASEE Virtual Annual Conference
- Page Range / eLocation ID:
- 17
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Conference Paper:
- https://doi.org/10.18260/1-2--34183
