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1. Bridging the Workforce Skills Gap in High Value Manufacturing through Continuing Education

   https://doi.org/10.18260/1-2--32423  

   Johnson, M. D. ( January 2019 , ASEE annual conference)

   Research shows that there is a growing need for skilled workers in the area of advanced manufacturing; this refers to making use of new technologies and advanced processes to produce products that have high value. More importantly, U.S. government employment data reveals that there is lack of supply of skilled workers in the manufacturing sector. Furthermore, it has also been widely cited in industrial literature that there is a concern regarding the job readiness of fresh college graduates and the gaps in skills sets needed to be successful in an industrial setting, especially in the engineering or manufacturing fields. One approach to bridge the skills gap is to provide customized continuing education to current the workforce as per the industry need. This paper presents a case study of such customized continuing education offered by Texas A&M University for oil and gas industry in Houston, Texas. Specifically, as a part of National Science Foundation Advanced Technological Education project, two professional development sessions were organized in the summer of 2018 in Houston targeting the energy industry. Both programs were two-days long and focused on two key aspects of high value manufacturing: manufacturing operations excellence and manufacturing quality excellence. The professional development sessions were focused on materials and inventory planning, production economics, manufacturing quality, non-destructive evaluation, statistical process control, and lean/ sixsigma. The continuing education programs and course materials were developed based on the feedback from the industry advisory board for the Manufacturing Center of Excellence at Houston Community College, which is a collaborating partner on the ATE Grant. As a part of assessment of the programs, industry participants in the both sessions were given comprehensive surveys asking for their feedback on the applicability of the educational sessions. Overall, the participants rated the sessions very highly on the organization and the relevancy of the program topics and learning materials. The participants also felt that they learned new information through these programs. 

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2. Creating and Assessing an Upper Division Additive Manufacturing Course and Laboratory to Enhance Undergraduate Research and Innovation

   https://doi.org/10.18260/1-2--30124  

   Maloney, Patricia A ; Li, Bingbing ; Zhang, Meng ; Cong, Weilong ( June 2018 , 2018 ASEE Annual Conference & Exposition)

   This NSF IUSE project is on the Exploration and Design Tier and the Engaged Student Learning Track. It is aimed at better preparing the country’s professional workforce in the renaissance of U.S. skilled manufacturing by creating new personnel proficient in additive manufacturing (AM). AM is mainstream; it has the potential to bring jobs back to the U.S. and add to the nation’s global competitiveness. AM is the process of joining materials to make objects from 3D data in a layer upon layer fashion. The objectives are to develop, assess, revise, and disseminate an upper division course and laboratory, “Additive Manufacturing,” and to advance undergraduate and K-12 student research and creative inquiry activities as well as faculty expertise at three diverse participating universities: Texas Tech, California State-Northridge, and Kansas State. This research/pedagogical team contains a mechanical engineering professor at each university to develop and teach the course, as well as a sociologist trained in K-12 outreach, course assessment, and human subjects research to accurately determine the effects on K-12 and undergraduate students. The proposed course will cover extrusion-based, liquid-based, and powder-based AM processes. For each technology, fundamentals, applications, and advances will be discussed. Students will learn solutions to AM of polymers, metals, and ceramics. Two lab projects will be built to provide hands-on experiences on a variety of state-of-the-art 3D printers. To stimulate innovation, students will design, fabricate, and measure test parts, and will perform experiments to explore process limits and tackle real world problems. They will also engage K-12 students through video demonstrations and mentorship, thus developing presentation skills. Through the project, different pedagogical techniques and assessment tools will be utilized to assess and improve engineering education at both the undergraduate and K-12 levels through varied techniques: i) undergraduate module lesson plans that are scalable to K-12 levels, ii) short informational video lessons created by undergraduates for K-12 students with accompanying in-person mentorship activities at local high schools and MakerSpaces, iii) pre- and post-test assessments of undergraduates’ and K-12 participating students’ AM knowledge, skills, and perceptions of self-efficacy, and iv) focus groups to learn about student concerns/learning challenges. We will also track students institutionally and into their early careers to learn about their use of AM technology professionally. 

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3. Creating and Assessing an Upper Division Additive Manufacturing Course and Laboratory to Enhance Undergraduate Research and Innovation

   Maloney, P ; Li, B ; Zhang, M ; Cong, W. ( June 2018 , ASEE annual conference & exposition)

   This NSF IUSE project is on the Exploration and Design Tier and the Engaged Student Learning Track. It is aimed at better preparing the country’s professional workforce in the renaissance of U.S. skilled manufacturing by creating new personnel proficient in additive manufacturing (AM). AM is mainstream; it has the potential to bring jobs back to the U.S. and add to the nation’s global competitiveness. AM is the process of joining materials to make objects from 3D data in a layer upon layer fashion. The objectives are to develop, assess, revise, and disseminate an upper division course and laboratory, “Additive Manufacturing,” and to advance undergraduate and K-12 student research and creative inquiry activities as well as faculty expertise at three diverse participating universities: Texas Tech, California State Northridge, and Kansas State. This research/pedagogical team contains a mechanical engineering professor at each university to develop and teach the course, as well as a sociologist trained in K-12 outreach, course assessment, and human subjects research to accurately determine the effects on K-12 and undergraduate students. The proposed course will cover extrusion-based, liquid-based, and powder-based AM processes. For each technology, fundamentals, applications, and advances will be discussed. Students will learn solutions to AM of polymers, metals, and ceramics. Two lab projects will be built to provide hands-on experiences on a variety of state-of-the-art 3D printers. To stimulate innovation, students will design, fabricate, and measure test parts, and will perform experiments to explore process limits and tackle real world problems. They will also engage K-12 students through video demonstrations and mentorship, thus developing presentation skills. Through the project, different pedagogical techniques and assessment tools will be utilized to assess and improve engineering education at both the undergraduate and K-12 levels through varied techniques: i) undergraduate module lesson plans that are scalable to K-12 levels, ii) short informational video lessons created by undergraduates for K-12 students with accompanying in-person mentorship activities at local high schools and MakerSpaces, iii) pre- and post-test assessments of undergraduates’ and K-12 participating students’ AM knowledge, skills, and perceptions of self-efficacy, and iv) focus groups to learn about student concerns/learning challenges. We will also track students institutionally and into their early careers to learn about their use of AM technology professionally. 

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4. What do Undergraduate Engineering Students and Pre-service Teachers Learn by Collaborating and Teaching Engineering and Coding Through Robotics?

   Kidd, J. ; Kaipa, K. ; Sacks, S. ; Ringleb, S. ; Pazos, P. ; Gutierrez, K. ; Ayala, O. M. ; de Souza Almeida, L. M. ( June 2020 , 2020 ASEE Virtual Annual Conference Content Access, Virtual Online)

   This research paper presents preliminary results of an NSF-supported interdisciplinary collaboration between undergraduate engineering students and preservice teachers. The fields of engineering and elementary education share similar challenges when it comes to preparing undergraduate students for the new demands they will encounter in their profession. Engineering students need interprofessional skills that will help them value and negotiate the contributions of various disciplines while working on problems that require a multidisciplinary approach. Increasingly, the solutions to today's complex problems must integrate knowledge and practices from multiple disciplines and engineers must be able to recognize when expertise from outside their field can enhance their perspective and ability to develop innovative solutions. However, research suggests that it is challenging even for professional engineers to understand the roles, responsibilities, and integration of various disciplines, and engineering curricula have traditionally left little room for development of non-technical skills such as effective communication with a range of audiences and an ability to collaborate in multidisciplinary teams. Meanwhile, preservice teachers need new technical knowledge and skills that go beyond traditional core content knowledge, as they are now expected to embed engineering into science and coding concepts into traditional subject areas. There are nationwide calls to integrate engineering and coding into PreK-6 education as part of a larger campaign to attract more students to STEM disciplines and to increase exposure for girls and minority students who remain significantly underrepresented in engineering and computer science. Accordingly, schools need teachers who have not only the knowledge and skills to integrate these topics into mainstream subjects, but also the intention to do so. However, research suggests that preservice teachers do not feel academically prepared and confident enough to teach engineering-related topics. This interdisciplinary project provided engineering students with an opportunity to develop interprofessional skills as well as to reinforce their technical knowledge, while preservice teachers had the opportunity to be exposed to engineering content, more specifically coding, and develop competence for their future teaching careers. Undergraduate engineering students enrolled in a computational methods course and preservice teachers enrolled in an educational technology course partnered to plan and deliver robotics lessons to fifth and sixth graders. This paper reports on the effects of this collaboration on twenty engineering students and eight preservice teachers. T-tests were used to compare participants’ pre-/post- scores on a coding quiz. A post-lesson written reflection asked the undergraduate students to describe their robotics lessons and what they learned from interacting with their cross disciplinary peers and the fifth/sixth graders. Content analysis was used to identify emergent themes. Engineering students’ perceptions were generally positive, recounting enjoyment interacting with elementary students and gaining communication skills from collaborating with non-technical partners. Preservice teachers demonstrated gains in their technical knowledge as measured by the coding quiz, but reported lacking the confidence to teach coding and robotics independently of their partner engineering students. Both groups reported gaining new perspectives from working in interdisciplinary teams and seeing benefits for the fifth and sixth grade participants, including exposing girls and students of color to engineering and computing. 

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5. Assessing the Impact of an REU Program on Students’ Intellectual Growth and Interest in Graduate School in Cybermanufacturing

   https://doi.org/10.18260/1-2--34183  

   Moturu, Pavan Kumar ; Nepal, Bimal ; Pagilla, Prabhakar ; Bukkapatnam, Satish ( June 2020 , 2020 ASEE Virtual Annual Conference)

   null (Ed.)

   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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