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1. Work in Progress: A Study of Variations in Motivation Related to Computational Modeling in First-year Engineering Students

   Alison Polasik (June 2022, 2022 ASEE Annual Conference & Exposition Proceedings)

   It is increasingly critical that engineering students develop proficiency with computational modeling tools, and many curricula include some introduction to such tools during their first year. It is clear that student interest and skill can vary significantly based on prior experiences, but it is less clear whether student motivation specifically related to computational modeling varies as well. This study hypothesizes that the self-efficacy and utility value related to computational methods varies significantly in students’ first year and that engineering students pursuing some disciplines (such as computer, software, and electrical engineering) will begin with a higher initial self-efficacy than others (such as chemical, materials, and biomedical engineering). A survey was used to investigate the utility value and efficacy of approximately 700 undergraduate students in their first year of engineering studies at both a large public institution and a small private institution. Data is analyzed for variations in baseline motivation based on the students’ intended major. This analysis also considers known confounding factors such as gender, race, and prior experience with programming. The results of this survey will help determine whether efficacy and interest related to computational methods vary based on intended major early in an engineering student’s academic career. Ultimately, it is hoped that this study can inform future studies related to what types of interventions might benefit students. 

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2. The Impact of Pre-Service Teachers’ Perceptions of Engineering on Their Self-Efficacy with Teaching Engineering

   Chesnutt, Betsy; Mountain, Daniel; Faber, Courtney (July 2023, ASEE annual conference exposition)

   Although engineering is becoming increasingly important in K-12 education, previous research has demonstrated that, similar to the general population, K-12 teachers typically hold inaccurate perceptions of engineering, which affects their ability to provide students with relevant engineering experiences. Studies have shown that K-12 teachers often confuse the work of engineers with that of automotive mechanics or construction workers or assume that engineering is only for “super smart” students who are naturally gifted or who come from higher socioeconomic backgrounds. This indicates that many teachers do not understand the nature of engineering work and have stereotypical attitudes about who is qualified to be an engineer. These inaccurate perceptions of engineering among K-12 teachers may influence the way that teachers introduce engineering practices to their students and make connections between engineering and the other STEM disciplines. In addition, teacher self-efficacy has been shown to not only influence teachers’ willingness to engage with a particular topic, but also to have a significant influence on the motivation and achievement of their students. Research also indicates that high-efficacy teachers typically exert more effort and utilize more effective instructional strategies than low-efficacy teachers. The goal of this study was to examine the perceptions that pre-service K-12 teachers hold about engineers and engineering, and to further explore how those perceptions influence their self-efficacy with teaching engineering and beliefs about what skills and resources are necessary to teach engineering in a K-12 classroom. We first developed a survey instrument that included questions taken from two previously published instruments: the Design, Engineering, and Technology survey and the Teaching Engineering Self-Efficacy Scale for K-12 Teachers. Forty-two students enrolled in an undergraduate program at {Name Redacted} in which students simultaneously pursue a bachelor’s degree in a STEM field and K-12 teacher licensure completed the survey. Based on survey responses, six participants, representing a range of self-efficacy scores and majors, were selected to participate in interviews. In these interviews, participants were asked questions about their perceptions of engineers and were also asked to sort a list of characteristics based on whether they applied to engineers or not. Finally, interview participants were asked questions about their confidence in their ability to teach engineering and about what skills and/or resources they would require to be able to teach engineering in their future classrooms. The results of this study indicated that the participants’ perceptions of engineering and engineers did impact their self-efficacy with teaching engineering and their beliefs about how well engineering could be incorporated into other STEM subjects. A recurring theme among participants with low self-efficacy was a lack of exposure to engineering and inaccurate perceptions of the nature of engineering work. These pre-service teachers felt that they would not be able to teach engineering to K-12 students because they did not personally have much exposure to engineering or knowledge about engineering work. In future work, we will investigate how providing pre-service teachers with training in engineering education and exposure to engineers and engineering students impacts both their perceptions of engineering and self-efficacy with teaching engineering. 

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3. Student Persistence Factors for Engineering and Computing Undergraduates

   Gholezadeh, Sona; Petrulis, Bob; Gatzke Edward P (June 2023, ASEE Annual Conference)

   The research and evaluation team of an S-STEM project at a large, research-intensive Southeastern public university conducted a cross-sectional survey as a first step to compare factors which may influence undergraduate student persistence in engineering and computing. All engineering and computing students were invited to participate in the survey, and 282 (10.4%) provided responses. The respondents included 15 high financial need students who were participating in the S-STEM program, of which 7 were first-year students and 8 were sophomores. The remaining 267 respondents were undergraduates ranging from first-year to seniors. Survey questions were adapted from previously developed instruments on self-efficacy, sense-of-belonging, identity, community involvement, and overall college experience. Additional questions related to stress levels, academic life, use and effectiveness of academic supports, and the impacts of COVID-19 on their college experiences. The team compared responses by level of academic progression, declared major, gender, and race/ethnicity. Student responses showed a variety of similarities and differences between subgroups. Overall, the students said that they often attended lectures (in-person or online) and came to class prepared. At the same time, students rated these activities as the least effective academic supports. On the other hand, the students rated working assigned or extra homework problems and studying for exams as their most effective activities. Consistently among the subgroups, the students said their community involvement and identity as developing engineers were relatively low while self-efficacy and team self-efficacy were seen as stronger personal skills. The students said they were highly stressed about their grades and academic success in general, and about finances and future careers. They reported feeling less stress about aspects such as living away from home and negotiating the university social scene. Students reported spending the most time preparing for class in their first year compared to students in later years. Female students (104 responses) reported higher levels of community involvement, engineering identity, and engagement in college life compared to male students (142 responses) while there was little gender-related difference in self-efficacy and sense of belonging. Levels of self-efficacy and team self-efficacy did not show large differences based on year in college. Interestingly, first-year students expressed the highest levels of engineering identity while senior students the lowest. Senior students reported the lowest community involvement, sense of belonging, and engineering identity compared to other students. Overall, students from different races self-reported the same levels of self-efficacy. Black/African American students reported the highest levels of community involvement, college life, and identity. There were no substantial differences in self-efficacy among the different engineering and computing majors. This study is a first step in analysis of the students’ input. In addition to surveying the students, the team also conducted interviews of the participating S-STEM students, and analysis of these interviews will provide greater depth to interpretation of the survey results. Overall, the research and evaluation team’s intention is to provide insight to the project’s leadership in how best to support the success of first-year engineering and computing students. https://peer.asee.org/student-persistence-factors-for-engineering-and-computing-undergraduates 

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4. Rocky Mountain Scholars Program: Impact on Female Undergraduate Engineering Students – Social and Academic Support, Retention, and Success

   https://doi.org/10.3991/ijep.v10i4.12139  

   Brown, Mark; Hitt, Matthew P.; Stephens, Alyssa; Dickmann, Ellyn M (July 2020, International Journal of Engineering Pedagogy (iJEP))

   null (Ed.)

   The Rocky Mountain Scholars Program (RMSP) was developed, in part, to improve student success and persistence in Engineering disciplines at Colorado State Universi-ty through a portfolio of engagement activities focused around undergraduate research experiences. Female RMSP participants exhibited substantially higher retention rates and grade point averages relative to other female engineering students at CSU. To better understand the impact of the RMSP, and its effectiveness among female engi-neering students, researchers focused on whether, and how, experiences and percep-tions differ between male and female students in engineering programs. That is, how do male and female students differ, if at all, in their subjective perception of life as an engineering major at CSU? A survey was developed measuring resilience, self-efficacy, motivation, social support, academic support, and perceived sexism. Data was obtained from 144 first-year engineering students at CSU. Results indicated that social support from extracurricular activities is particularly important among female students. This points to an increasing need for programs like the RMSP to create social networks among students and faculty, link students to the broader impacts of their work, and ultimately improve the undergraduate experience of under-represented groups in STEM programs. 

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5. The Continued Development and Validity Testing of an Engineering Design Value-Expectancy Scale (EDVES) for High School Students

   Youssef, S. (August 2022, ASEE Annual Conference & Exposition)

   As more institutions create first year engineering programs that teach an engineering design process, there is a growing desire to prepare students for this coursework in the high school setting. When exposing such a broad population to these ideas, a primary question arises regarding student attitudes toward engineering and how these attitudes develop over time. That is, how does this exposure to engineering design influence student attitudes toward engineering? Moreover, answering this question will allow educators to better understand what motivates students to learn, how much their motivation impacts their overall mastery of these skills, and how these aspects of engineering self-efficacy and engineering design may differ between those who are on a pre-engineering track and those who are not. To begin answering this question, high school students enrolled in the Olathe City school system of Olathe, Kansas completed Engineering Problem-Framing Design Activities (EPDAs) in participating science courses (AP physics, physics, advanced biotechnology, chemistry, honors chemistry, biology, honors biology, and physical science specifically) of the traditional science and engineering academy curriculums offered by the district. Student engineering self-efficacy and motivation was also measured at the beginning and end of their coursework. This was conducted via a new instrument, the Engineering Design Value-Expectancy Scale (EDVES), which includes 38 items across three primary subscales: expectancy of success in, perceived value of, and identification with engineering and design. The development of this tool was presented and discussed in a previous study where the EDVES instrument was analyzed for validity among first-year undergraduate engineering students. In this work, the responses of high school students on the EDVES were analyzed to establish validity in this new population and to begin exploring trends in student responses based on their sub-population. Validity testing was completed via Cook’s validation evidence model with respect to scoring, generalization, and extrapolation evidence. The pre-course EDVES responses obtained were used to complete validation and trend analysis (note that post-course data was not readily available at the time of analysis). 

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