Virtual On line
June 22, 2020
June 22, 2020
June 26, 2021
Diversity and NSF Grantees Poster Session
The advancements in information technology and computational intelligence have transformed the manufacturing landscape allowing firms to produce highly complex and customized product at relatively short amount of time. However, our research shows that lack of 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 the 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, mechanical, chemical, mechatronics, manufacturing, and computer science. Several of the participants were also rising juniors who did not necessarily have any industry internship or prior research experience. In total, there were 20 students (ten per year) and each worked on a separate project topic under the guidance of graduate student mentor and faculty mentor. Unlike a typical REU program, the cybermanufacturing REU involved few unique activities such as 48-hour intense design and prototype build experience, industry seminars and visit among other things.
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, interestingly majority of the participants preferred industry career over graduate school. The paper provides an in-depth discussion on findings of the REU program evaluation and its impact on undergraduate students with respect to their future plan and career choice. The analysis is also done by gender, ethnicity, academic level (sophomore, junior, senior), prior research or industry internship, and the type of home institution (e.g., minority serving institutions, large research universities, rural and small schools) to explore if there was any significant difference in mean research competency scores based on these attributes.
Moturu, P. K., & Nepal, B. P., & Pagilla, P. R., & Bukkapatnam, S. (2020, June), Assessing the Impact of an REU Program on Students’ Intellectual Growth and Interest in Graduate School in Cybermanufacturing Paper presented at 2020 ASEE Virtual Annual Conference Content Access, Virtual On line . 10.18260/1-2--34183
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