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1. Improving STEM Education for Lower-division College Students at HSI by Utilizing Relevant Sociocultural and Academic Experiences: First-year Results from ASSURE-US Project

   https://doi.org/10.18260/1-2--34795  

   Huang, Jidong; Kurwadkar, Sudarshan; Bein, Doina; Bai, Yu; Mayoral, Salvador (June 2020, 2020 ASEE Virtual Annual Conference Content Access)

   Despite national efforts in increasing representation of minority students in STEM disciplines, disparities prevail. Hispanics account for 17.4% of the U.S. population, and nearly 20% of the youth population (21 years and below) in the U.S. is Hispanic, yet they account for just 7% of the STEM workforce. To tackle these challenges, the National Science Foundation (NSF) has granted a 5-year project – ASSURE-US, that seeks to improve undergraduate education in Engineering and Computer Science (ECS) at California State University, Fullerton. The project seeks to advance student success during the first two years of college for ECS students. Towards that goal, the project incorporates a very diverse set of approaches, such as socio-cultural and academic interventions. Multiple strategies including developing early intervention strategies in gateway STEM courses, creating a nurturing faculty-student interaction and collaborative learning environment, providing relevant, contextual-based learning experiences, integrating project-based learning with engineering design in lower-division courses, exposing lower-division students to research to sustain student interests, and helping students develop career-readiness skills. The project also seeks to develop an understanding of the personal, social, cognitive, and contextual factors contributing to student persistence in STEM learning that can be used by STEM faculty to improve their pedagogical and student-interaction approaches. This paper summarizes the major approaches the ASSURE-US project plans to implement to reduce the achievement gap and motivate ECS students to remain in the program. Preliminary findings from the first-year implementation of the project including pre- and post- data were collected and analyzed from about one hundred freshmen and sophomore ECS students regarding their academic experience in lower-division classes and their feedback for various social support events held by the ASSURE-US project during the academic year 2018-19. The preliminary results obtained during the first year of ASSURE-US project suggests that among the different ASSURE-US activities implemented in the first year, both the informal faculty-student interactions and summer research experiences helped students commit more to their major during their lower-division years. The pre-post surveys also show improvements in terms of awareness among ASSURE-US students for obtaining academic support services, understanding career options and pathways, and obtaining personal counseling services. 

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2. Impacts Resulting from a Large-Scale First-Year Engineering and Computer Science Program on Students’ Successful Persistence Toward Degree Completion

   Ragusa, Gisele; Allen, Emily L.; Menezes, Gustavo B. (June 2020, ASEE Annual Conference Proceedings 2020)

   There is a critical need for more students with engineering and computer science majors to enter into, persist in, and graduate from four-year postsecondary institutions. Increasing the diversity of the workforce by inclusive practices in engineering and science is also a profound identified need. According to national statistics, the largest groups of underrepresented minority students in engineering and science attend U.S. public higher education institutions. Most often, a large proportion of these students come to colleges and universities with unique challenges and needs, and are more likely to be first in their family to attend college. In response to these needs, engineering education researchers and practitioners have developed, implemented and assessed interventions to provide support and help students succeed in college, particularly in their first year. These interventions typically target relatively small cohorts of students and can be managed by a small number of faculty and staff. In this paper, we report on “work in progress” research in a large-scale, first-year engineering and computer science intervention program at a public, comprehensive university using multivariate comparative statistical approaches. Large-scale intervention programs are especially relevant to minority serving institutions that prepare growing numbers of students who are first in their family to attend college and who are also under-resourced, financially. These students most often encounter academic difficulties and come to higher education with challenging experiences and backgrounds. Our studied first-year intervention program, first piloted in 2015, is now in its 5th year of implementation. Its intervention components include: (a) first-year block schedules, (b) project-based introductory engineering and computer science courses, (c) an introduction to mechanics course, which provides students with the foundation needed to succeed in a traditional physics sequence, and (d) peer-led supplemental instruction workshops for calculus, physics and chemistry courses. This intervention study responds to three research questions: (1) What role does the first-year intervention’s components play in students’ persistence in engineering and computer science majors across undergraduate program years? (2) What role do particular pedagogical and cocurricular support structures play in students’ successes? And (3) What role do various student socio-demographic and experiential factors play in the effectiveness of first-year interventions? To address these research questions and therefore determine the formative impact of the firstyear engineering and computer science program on which we are conducting research, we have collected diverse student data including grade point averages, concept inventory scores, and data from a multi-dimensional questionnaire that measures students’ use of support practices across their four to five years in their degree program, and diverse background information necessary to determine the impact of such factors on students’ persistence to degree. Background data includes students’ experiences prior to enrolling in college, their socio-demographic characteristics, and their college social capital throughout their higher education experience. For this research, we compared students who were enrolled in the first-year intervention program to those who were not enrolled in the first-year intervention. We have engaged in cross-sectional 2 data collection from students’ freshman through senior years and employed multivariate statistical analytical techniques on the collected student data. Results of these analyses were interesting and diverse. Generally, in terms of backgrounds, our research indicates that students’ parental education is positively related to their success in engineering and computer science across program years. Likewise, longitudinally (across program years), students’ college social capital predicted their academic success and persistence to degree. With regard to the study’s comparative research of the first-year intervention, our results indicate that students who were enrolled in the first-year intervention program as freshmen continued to use more support practices to assist them in academic success across their degree matriculation compared to students who were not in the first-year program. This suggests that the students continued to recognize the value of such supports as a consequence of having supports required as first-year students. In terms of students’ understanding of scientific or engineering-focused concepts, we found significant impact resulting from student support practices that were academically focused. We also found that enrolling in the first-year intervention was a significant predictor of the time that students spent preparing for classes and ultimately their grade point average, especially in STEM subjects across students’ years in college. In summary, we found that the studied first-year intervention program has longitudinal, positive impacts on students’ success as they navigate through their undergraduate experiences toward engineering and computer science degrees. 

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

   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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5. S-STEM First Year Progress: Baylor Engineering and Computer Science Scholar's Program

   Michael W. Thompson; Anne Marie Spence; Carolyn Skurla; Emily Sandvall; Andrea Pouso Morales (June 2022, 2022 ASEE Conference & Exposition)

   Abstract This S_STEM project is designed to support the retention and graduation of high-achieving, low income students with demonstrated financial need at Baylor University. Over its five-year duration, this project will fund four-year scholarships to 22 students who are pursuing Bachelor degrees in Engineering, Electrical and Computer Engineering, Mechanical Engineering and Computer Science. Engineering and Computer Science (ECS) Scholars will participate in activities which include an orientation, a monthly seminar series and required faculty mentoring. Support services and activities for ECS Scholars build upon existing activities at Baylor and feature peer mentoring, study abroad opportunities, alumni mentoring, support and training for undergraduate research, professional development workshops, and tutoring support from the ECS Learning Resource Center. A distinguishing feature of the project is the use of EAB’s Navigate, a web-based software platform for tracking student progress, coordinating student care and employing predictive analytics. The expertise generated using a student dashboard capable of predictive analytics will have the broad impact of informing the STEM community of best practices for timely interventions, and improving retention and graduation rates. The Navigate platform is used for predictive analytics and to track and document ECS Scholar progress toward achieving benchmark goals in the areas of retention, graduation rates, internships, undergraduate research experiences, and job placement. The use of predictive analytics has significant potential for helping students arrive at successful outcomes. However, it is an assumption of this project that the successful use of predictive analytics should take into consideration not simply the accuracy in identifying students who are struggling but in the social attributions of success and perceptions of a “big data” tool that might be received alternatively with enthusiasm or suspicion. The focus of this paper will be to give an overview of our first-year results from the project. We were successful in recruiting the full first cohort that began in the Fall of 2020. For the first year, many of the engagement sessions with the students pivoted to a virtual experience, however, we were able to manage several events that fostered a sense of community among the ECS scholars. Our research partners from the Baylor School of Education were successful in conducting baseline qualitative research using detailed interviews with an initial focus on community fit, academic fit and faculty relationships. The paper will also summarize our use of the Navigate platform and the lessons learned in the areas of data capture and interventions. 

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