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1. Assessing Educational Pathways for Manufacturing in Rural Communities: An Investigation of New and Existing Programs in Northwest Florida

   Mardis, Marcia A.; Jones, Faye R. (June 2019, ASEE annual conference & exposition)

   To build the nation's skilled technical workforce, the demand for entry and middle-skill professionals in technical fields in Science, Technology, Engineering, and Mathematics (STEM) is increasing. The alignment between educational programming and job requirements for STEM-oriented technicians is essential for establishing career pathways that produce high-quality middle skills professionals for technology-rich fields. Building on prior research on rural Florida’s information technologies career pathways, in this National Science Foundation (NSF) Advanced Technician Education (ATE) targeted research project, FSU researchers are investigating alignment among educational opportunities, employer needs, student readiness and new employee experiences in Advanced Manufacturing (AM) and test the usefulness of tools and processes developed to assess such alignment, focusing on the opportunities and challenges in Florida’s rural areas. Researchers constructed and are iteratively refining an AM Body of Knowledge (BOK) for analysis and community engagement. The quantitative and qualitative mixed methods research design combines content analysis and text mining using the BOK with surveys, and interviews/focus groups. The research team is applying text mining approaches to identify the match between syllabi learning outcomes, industry certification requirements, state curriculum frameworks, and job postings. In interviews and focus groups, researchers are qualitatively assessing the employers’ competency expectations and new professionals’ job experiences. These analyses will build capacity among rural stakeholders to strengthen and expand their technical workforce. 

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2. Identifying Congruence Between Advanced Manufacturing Two-year Curricula and Employer Needs: Findings from Five Florida State Colleges

   Kowligi, Pallavi R.; Prajapati, Priyanka; Jones, Faye R.; Mardis, Marcia A. (January 2020, ASEE annual conference exposition)

   In this research paper, we report our assessment of the congruence between two-year advanced manufacturing (AM) program syllabi to employer needs expressed in the Department of Labor’s (DOL) AM Competency Model. The dynamic AM industry relies on two-year AM technician program graduates from state and community colleges. These program curricula are mandated to reflect state career and technology education (CTE) curriculum frameworks, but the frameworks are not designed to measure graduates' abilities to meet AM employers’ current needs. Because this technology-reliant industry changes so quickly, faculty are challenged to source, develop, and implement responsive educational experiences. Through consultation with industry leaders, the Department of Labor (DOL) developed an AM competency model to illustrate and promote workers’ necessary knowledge, skills, and dispositions. To determine whether the AM competency model can function as an exit assessment for AM program graduates, we compared AM program syllabi from five rural Northwest Florida state colleges to the DOL AM Competency Model. We text-mined competencies in both syllabi and the AM Competency Model and compared them to identify: 1) frequently addressed topics; 2) verbs guiding course learning outcomes versus the skill depth desired by employers; and 3) overall match between documents. Our findings indicate that despite being developed to reflect the same curriculum framework, the five AM programs’ topical and complexity emphases varied widely. Overall, AM Competency Model content reflected higher levels of the Bloom’s Revised Taxonomy of Educational Objectives, highlighting industry commitments to fostering analysis, evaluation, and creation. We conclude with implications for educational institutions, AM policymakers, and industry, outline the need for an AM Body of Knowledge, and propose an ongoing assessment model to improve the congruence between what employers want and what is taught in two-year AM degree programs. 

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3. Assessing Educational Pathways for Manufacturing in Rural Communities: Research Findings and Implications from an Investigation of New and Existing Programs in Northwest Florida

   Mardis, Marcia A.; Jones, Faye R. (July 2021, 2021 ASEE Virtual Annual Conference)

   null (Ed.)

   In northwest Florida, advanced manufacturing (AM) jobs outstrip the supply of middle-skilled technicians, though AM constitutes almost a quarter of the region’s total employment. Guided by the overarching research question (RQ) “To what extent do curriculum content, employer needs, and student experiences align within an advanced manufacturing educational pathway,” this NSF-funded study’s goals have been to 1) investigate the role AM program pathways have in meeting the needs of employers and new professionals who are employed in the region; 2) expand the research base and curriculum content recommendations for regional AM education; 3) build regional capacity for AM program assessment and improvement by replicating, refining, and disseminating study approaches through further research, annual AM employer and educator meetings, and annual research skill-building academies in which stakeholders transfer research findings to practices and policies that empower rural NW Florida colleges. To date, research efforts have demonstrated that competency perceptions of faculty, employers, and new professionals have notable misalignments that have opportunities for AM program curriculum revision and enhancement. This presentation will encompass four years of research output, emphasizing the impactful findings and dissemination products for ASEE community members, as well as opportunities for further research. 

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4. Evidence-based planning to broaden the participation of women in electrical and computer engineering

   https://doi.org/10.1109/FIE.2016.7757643  

   Rover, Diane; Zambreno, Joseph; Mina, Mani; Jones, Phillip; Chrystal, Lora Leigh (October 2016, 2016 IEEE Frontiers in Education Conference (FIE))

   The percentages of women in undergraduate electrical and computer engineering programs at Iowa State University averages below the national average. An external assessment of diversity and inclusion provided an impetus for faculty, staff and administrators to discuss issues, focus on specific areas, and collaborate on planning. In particular, the department has teamed up with the university's Program for Women in Science and Engineering to better integrate their programs with departmental activities. This has resulted in an enhanced student experience model being designed for undergraduate ECE women. The model leverages effective practices including learning communities, leadership and professional development, academic support and advising for the ISU Engineering Basic Program, academic preparation for the ECE field, and state and national resources for inclusive ECE career awareness, recruiting and teaching. The WI-ECSEL Initiative has been designed to improve diversity and inclusion in Iowa State's electrical, computer, and software engineering programs; improve educational pathways including transfer transitions from community colleges; provide a supportive and integrated student experience; establish a community of practice for faculty; and use research to inform practice. 

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5. Work in Progress: NSF S-STEM Program: Recruitment, Engagement, and Retention: Energizing and Supporting Students with Diverse Backgrounds in Mechanical Engineering

   Jamie R. Gurganus, Liang Zhu (June 2019, ASEE annual conference & exposition)

   Recognizing current and future needs for a diverse skilled workforce in mechanical engineering and the rising cost of higher education that acts as a barrier for many talented students with interests in engineering, the NSF funded S-STEM project at a state university focuses resources and research on financial support coupled with curricular and co-curricular activities designed to facilitate student degree attainment, career development, and employability in STEM-related jobs. This program has provided enhanced educational opportunities to more than 90 economically disadvantaged and academically talented undergraduate students in the Mechanical Engineering Department in the past eight years. It is expected that approximately 45 academically talented and financially needy students, including students transferring from community colleges to four-year engineering programs will receive scholarship support in the next 5 years, with an average amount of $6,000 per year for up to four years to earn degrees in mechanical engineering at the University of Maryland Baltimore County (UMBC). Through scholarships and supplemental support services, this program promotes full-time enrollment and will elevate the scholastic achievement of the S-STEM scholars, with a special emphasis on females and/or underrepresented minorities. It will provide a holistic and novel educational experience combining science, engineering, technology and medicine to improve student retention and future career prospects. The project builds on an established partnership between the state university and community colleges to improve and investigate the transfer experience of community college students to four-year programs, student retention at the university, and job placement and pathways to graduate school and employment. A mixed methods quantitative and qualitative research approach will examine the implementation and outcomes of proactive recruitment; selected high impact practices, such as orientation, one-to-one faculty mentoring, peer mentoring, and community building; participation by students in research-focused activities, such as research seminars and undergraduate experiences; and participation by students in career and professional development activities. In this paper, preliminary data will be presented discussing the attitudes and perceptions of the s-stem scholars and comparing students in scholarly programs and non-programmed situations. This research was supported by an NSF S-STEM grant (DUE-1742170). 

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