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1. Engaging STEM Transformational Experiences for Early Momentum (ESTEEM)

   Yahdi, Mohammed ; Bracey, Zoe Buck ( November 2019 , National Science Foundation -  Hispanic-Serving Institutions (HSI) Program Principal Investigator (PI) Meeting, November 2019.)

   Need/Motivation (e.g., goals, gaps in knowledge) The ESTEEM implemented a STEM building capacity project through students’ early access to a sustainable and innovative STEM Stepping Stones, called Micro-Internships (MI). The goal is to reap key benefits of a full-length internship and undergraduate research experiences in an abbreviated format, including access, success, degree completion, transfer, and recruiting and retaining more Latinx and underrepresented students into the STEM workforce. The MIs are designed with the goals to provide opportunities for students at a community college and HSI, with authentic STEM research and applied learning experiences (ALE), support for appropriate STEM pathway/career, preparation and confidence to succeed in STEM and engage in summer long REUs, and with improved outcomes. The MI projects are accessible early to more students and build momentum to better overcome critical obstacles to success. The MIs are shorter, flexibly scheduled throughout the year, easily accessible, and participation in multiple MI is encouraged. ESTEEM also establishes a sustainable and collaborative model, working with partners from BSCS Science Education, for MI’s mentor, training, compliance, and building capacity, with shared values and practices to maximize the improvement of student outcomes. New Knowledge (e.g., hypothesis, research questions) Research indicates that REU/internship experiences canmore »be particularly powerful for students from Latinx and underrepresented groups in STEM. However, those experiences are difficult to access for many HSI-community college students (85% of our students hold off-campus jobs), and lack of confidence is a barrier for a majority of our students. The gap between those who can and those who cannot is the “internship access gap.” This project is at a central California Community College (CCC) and HSI, the only affordable post-secondary option in a region serving a historically underrepresented population in STEM, including 75% Hispanic, and 87% have not completed college. MI is designed to reduce inequalities inherent in the internship paradigm by providing access to professional and research skills for those underserved students. The MI has been designed to reduce barriers by offering: shorter duration (25 contact hours); flexible timing (one week to once a week over many weeks); open access/large group; and proximal location (on-campus). MI mentors participate in week-long summer workshops and ongoing monthly community of practice with the goal of co-constructing a shared vision, engaging in conversations about pedagogy and learning, and sustaining the MI program going forward. Approach (e.g., objectives/specific aims, research methodologies, and analysis) Research Question and Methodology: We want to know: How does participation in a micro-internship affect students’ interest and confidence to pursue STEM? We used a mixed-methods design triangulating quantitative Likert-style survey data with interpretive coding of open-responses to reveal themes in students’ motivations, attitudes toward STEM, and confidence. Participants: The study sampled students enrolled either part-time or full-time at the community college. Although each MI was classified within STEM, they were open to any interested student in any major. Demographically, participants self-identified as 70% Hispanic/Latinx, 13% Mixed-Race, and 42 female. Instrument: Student surveys were developed from two previously validated instruments that examine the impact of the MI intervention on student interest in STEM careers and pursuing internships/REUs. Also, the pre- and post (every e months to assess longitudinal outcomes) -surveys included relevant open response prompts. The surveys collected students’ demographics; interest, confidence, and motivation in pursuing a career in STEM; perceived obstacles; and past experiences with internships and MIs. 171 students responded to the pre-survey at the time of submission. Outcomes (e.g., preliminary findings, accomplishments to date) Because we just finished year 1, we lack at this time longitudinal data to reveal if student confidence is maintained over time and whether or not students are more likely to (i) enroll in more internships, (ii) transfer to a four-year university, or (iii) shorten the time it takes for degree attainment. For short term outcomes, students significantly Increased their confidence to continue pursuing opportunities to develop within the STEM pipeline, including full-length internships, completing STEM degrees, and applying for jobs in STEM. For example, using a 2-tailed t-test we compared means before and after the MI experience. 15 out of 16 questions that showed improvement in scores were related to student confidence to pursue STEM or perceived enjoyment of a STEM career. Finding from the free-response questions, showed that the majority of students reported enrolling in the MI to gain knowledge and experience. After the MI, 66% of students reported having gained valuable knowledge and experience, and 35% of students spoke about gaining confidence and/or momentum to pursue STEM as a career. Broader Impacts (e.g., the participation of underrepresented minorities in STEM; development of a diverse STEM workforce, enhanced infrastructure for research and education) The ESTEEM project has the potential for a transformational impact on STEM undergraduate education’s access and success for underrepresented and Latinx community college students, as well as for STEM capacity building at Hartnell College, a CCC and HSI, for students, faculty, professionals, and processes that foster research in STEM and education. Through sharing and transfer abilities of the ESTEEM model to similar institutions, the project has the potential to change the way students are served at an early and critical stage of their higher education experience at CCC, where one in every five community college student in the nation attends a CCC, over 67% of CCC students identify themselves with ethnic backgrounds that are not White, and 40 to 50% of University of California and California State University graduates in STEM started at a CCC, thus making it a key leverage point for recruiting and retaining a more diverse STEM workforce.« less
2. Communities Support Engineering as a College Major Choice

   https://doi.org/10.18260/1-2--34307  

   Vaziri, S.L. ; Paretti, M.C. ; Grohs, J.R. ; Baum, L.M. ; Lester, M.M. ; Newbill, P.L. ( July 2020 , Zone 1 Conference of the American Society for Engineering Education)

   Broadening participation in engineering is critical given the gap between the nation’s need for engineering graduates and its production of them. Efforts to spark interest in engineering among PreK-12 students have increased substantially in recent years as a result. However, past research has demonstrated that interest is not always sufficient to help students pursue engineering majors, particularly for rural students. In many rural communities, influential adults (family, friends, teachers) are often the primary influence on career choice, while factors such as community values, lack of social and cultural capital, limited course availability, and inadequate financial resources act as potential barriers. To account for these contextual factors, this project shifts the focus from individual students to the communities to understand how key stakeholders and organizations support engineering as a major choice and addresses the following questions: RQ1. What do current undergraduate engineering students who graduated from rural high schools describe as influences on their choice to attend college and pursue engineering as a post-secondary major? RQ2. How does the college choice process differ for rural students who enrolled in a 4-year university immediately after graduating from high school and those who transferred from a 2-year institution? RQ3. How do community membersmore »describe the resources that serve as key supports as well as the barriers that hinder support in their community? RQ4. What strategies do community members perceive their community should implement to enhance their ability to support engineering as a potential career choice? RQ5. How are these supports transferable or adaptable by other schools? What community-level factors support or inhibit transfer and adaptation? To answer the research questions, we employed a three-phase qualitative study. Phase 1 focused on understanding the experiences and perceptions of current [University Name] students from higher-producing rural schools. Analysis of focus group and interview data with 52 students highlighted the importance of interest and support from influential adults in students’ decision to major in engineering. One key finding from this phase was the importance of community college for many of our participants. Transfer students who attended community college before enrolling at [University Name] discussed the financial influences on their decision and the benefits of higher education much more frequently than their peers. In Phase 2, we used the findings from Phase 1 to conduct interviews within the participants’ home communities. This phase helped triangulate students’ perceptions with the perceptions and practices of others, and, equally importantly, allowed us to understand the goals, attitudes, and experiences of school personnel and local community members as they work with students. Participants from the students’ home communities indicated that there were few opportunities for students to learn more about engineering careers and provided suggestions for how colleges and universities could be more involved with students from their community. Phase 3, scheduled for Spring 2020, will bring the findings from Phases 1 and 2 back to rural communities via two participatory design workshops. These workshops, designed to share our findings and foster collaborative dialogue among the participants, will enable us to explore factors that support or hinder transfer of findings and to identify policies and strategies that would enhance each community’s ability to support engineering as a potential career choice.« less
3. Partnering Middle School Teachers, Industry, and Academic to Bring Engineering to the Science Classroom

   Carrico, C. ; Grohs, J.R. ; Matusovich, H.M. ; Kirk, G.R. ; Schilling, M.R. ( July 2021 , 2021 ASEE Virtual Annual Conference Content Access)

   Despite limited success in broadening participation in engineering with rural and Appalachian youth, there remain challenges such as misunderstandings around engineering careers, misalignments with youth’s sociocultural background, and other environmental barriers. In addition, middle school science teachers may be unfamiliar with engineering or how to integrate engineering concepts into science lessons. Furthermore, teachers interested in incorporating engineering into their curriculum may not have the time or resources to do so. The result may be single interventions such as a professional development workshop for teachers or a career day for students. However, those are unlikely to cause major change or sustained interest development. To address these challenges, we have undertaken our NSF ITEST project titled, Virginia Tech Partnering with Educators and Engineers in Rural Schools (VT PEERS). Through this project, we sought to improve youth awareness of and preparation for engineering related careers and educational pathways. Utilizing regular engagement in engineering-aligned classroom activities and culturally relevant programming, we sought to spark an interest with some students. In addition, our project involves a partnership with teachers, school districts, and local industry to provide a holistic and, hopefully, sustainable influence. By engaging over time we aspired to promote sustainability beyond this NSF projectmore »via increased teacher confidence with engineering related activities, continued integration within their science curriculum, and continued relationships with local industry. From the 2017-2020 school years the project has been in seven schools across three rural counties. Each year a grade level was added; that is, the teachers and students from the first year remained for all three years. Year 1 included eight 6th grade science teachers, year 2 added eight 7th grade science teachers, and year 3 added three 8th grade science teachers and a career and technology teacher. The number of students increased from over 500 students in year 1 to over 2500 in year 3. Our three industry partners have remained active throughout the project. During the third and final year in the classrooms, we focused on the sustainable aspects of the project. In particular, on how the intervention support has evolved each year based on data, support requests from the school divisions, and in scaffolding “ownership” of the engineering activities. Qualitative data were used to support our understanding of teachers’ confidence to incorporate engineering into their lessons plans and how their confidence changed over time. Noteworthy, our student data analysis resulted in an instrument change for the third year; however due to COVID, pre and post data was limited to schools who taught on a semester basis. Throughout the project we have utilized the ITEST STEM Workforce Education Helix model to support a pragmatic approach of our research informing our practice to enable an “iterative relationship between STEM content development and STEM career development activities… within the cultural context of schools, with teachers supported by professional development, and through programs supported by effective partnerships.” For example, over the course of the project, scaffolding from the University leading interventions to teachers leading interventions occurred.« less
4. Developing two-year college student engineering technology career profiles

   https://doi.org/10.18260/1-2--36945  

   Frady, K. ; Brown, C. ; High, K. ; Hughes, C. ; O’Hara, R. ; & Huang, S. ( July 2021 , Annual American Society for Engineering Education Conference)

   There is little research or understanding of curricular differences between two- and four-year programs, career development of engineering technology (ET) students, and professional preparation for ET early career professionals [1]. Yet, ET credentials (including certificates, two-, and four-year degrees) represent over half of all engineering credentials awarded in the U.S [2]. ET professionals are important hands-on members of engineering teams who have specialized knowledge of components and engineering systems. This research study focuses on how career orientations affect engineering formation of ET students educated at two-year colleges. The theoretical framework guiding this study is Social Cognitive Career Theory (SCCT). SCCT is a theory which situates attitudes, interests, and experiences and links self-efficacy beliefs, outcome expectations, and personal goals to educational and career decisions and outcomes [3]. Student knowledge of attitudes toward and motivation to pursue STEM and engineering education can impact academic performance and indicate future career interest and participation in the STEM workforce [4]. This knowledge may be measured through career orientations or career anchors. A career anchor is a combination of self-concept characteristics which includes talents, skills, abilities, motives, needs, attitudes, and values. Career anchors can develop over time and aid in shaping personal and career identity [6].more »The purpose of this quantitative research study is to identify dimensions of career orientations and anchors at various educational stages to map to ET career pathways. The research question this study aims to answer is: For students educated in two-year college ET programs, how do the different dimensions of career orientations, at various phases of professional preparation, impact experiences and development of professional profiles and pathways? The participants (n=308) in this study represent three different groups: (1) students in engineering technology related programs from a medium rural-serving technical college (n=136), (2) students in engineering technology related programs from a large urban-serving technical college (n=52), and (3) engineering students at a medium Research 1 university who have transferred from a two-year college (n=120). All participants completed Schein’s Career Anchor Inventory [5]. This instrument contains 40 six-point Likert-scale items with eight subscales which correlate to the eight different career anchors. Additional demographic questions were also included. The data analysis includes graphical displays for data visualization and exploration, descriptive statistics for summarizing trends in the sample data, and then inferential statistics for determining statistical significance. This analysis examines career anchor results across groups by institution, major, demographics, types of educational experiences, types of work experiences, and career influences. This cross-group analysis aids in the development of profiles of values, talents, abilities, and motives to support customized career development tailored specifically for ET students. These findings contribute research to a gap in ET and two-year college engineering education research. Practical implications include use of findings to create career pathways mapped to career anchors, integration of career development tools into two-year college curricula and programs, greater support for career counselors, and creation of alternate and more diverse pathways into engineering. Words: 489 References [1] National Academy of Engineering. (2016). Engineering technology education in the United States. Washington, DC: The National Academies Press. [2] The Integrated Postsecondary Education Data System, (IPEDS). (2014). Data on engineering technology degrees. [3] Lent, R.W., & Brown, S.B. (1996). Social cognitive approach to career development: An overivew. Career Development Quarterly, 44, 310-321. [4] Unfried, A., Faber, M., Stanhope, D.S., Wiebe, E. (2015). The development and validation of a measure of student attitudes toward science, technology, engineeirng, and math (S-STEM). Journal of Psychoeducational Assessment, 33(7), 622-639. [5] Schein, E. (1996). Career anchors revisited: Implications for career development in the 21st century. Academy of Management Executive, 10(4), 80-88. [6] Schein, E.H., & Van Maanen, J. (2013). Career Anchors, 4th ed. San Francisco: Wiley.« less
5. Examining STEM Diagnostic Exam Scores and Self-efficacy as Predictors of Three-year STEM Psychological and Career Outcomes

   https://doi.org/10.18260/1-2--34614  

   Bradford, Brittany ; Beier, Margaret ; McSpedon, Megan ; Wolf, Michael ( June 2020 , American Society for Engineering Education)

   In this research-based paper, we explore the relationships among Rice University STEM students’ high school preparation, psychological characteristics, and career aspirations. Although greater high school preparation in STEM coursework predicts higher STEM retention and performance in college [1], objective academic preparation and college performance do not fully explain STEM retention decisions, and the students who leave STEM are often not the lowest performing students [2]. Certain psychosocial experiences may also influence students’ STEM decisions. We explored the predictive validity of 1) a STEM diagnostic exam as an objective measure of high school science and math preparation and 2) self-efficacy as a psychological measure on long-term (three years later) STEM career aspirations and STEM identity of underprepared Rice STEM students. University administrators use diagnostic exam scores (along with other evidence of high school underpreparation) to identify students who might benefit from additional support. Using linear regression to explore the link between diagnostic exam scores and self-efficacy, exam scores predicted self-efficacy a semester after students’ first semester in college; exam scores were also marginally correlated with self-efficacy three years later. Early STEM career aspirations predicted later career aspirations, accounting for 21.3% of the variance of career outcome expectations three years later (β=.462,more »p=.006). Scores on the math diagnostic exam accounted for an additional 10.1% of the variance in students’ three-year STEM career aspirations (p=.041). Self-efficacy after students’ first semester did not predict future STEM aspirations. Early STEM identity explained 28.8% of the variance in three-year STEM identity (p=.001). Math diagnostic exam scores accounted for only marginal incremental variance after STEM identity, and self-efficacy after students’ first semester did not predict three-year STEM aspirations. Overall, we found that the diagnostic exam provided incremental predictive validity in STEM career aspirations after students’ sixth semester of college, indicating that early STEM preparation has long-lasting ramifications for students’ STEM career intentions. Our next steps include examining whether students’ diagnostic exam scores predict STEM graduation rates and final GPAs for science and math versus engineering majors.« less