Conference Session

ENT-7: Approaches to Fostering Self-Efficacy and Data-Driven Decision Making

Collection

2025 ASEE Annual Conference & Exposition

Authors

Yi Wang, Purdue University at West Lafayette (COE); Nathalie Duval-Couetil, Purdue University at West Lafayette (COE)

Tagged Divisions

Entrepreneurship & Engineering Innovation Division (ENT)

. V., & Boldureanu, D. (2020).Entrepreneurship education through successful entrepreneurial models in higher educationinstitutions. Sustainability, 12(3), 1267. https://doi.org/10.3390/su12031267Cai, W., Gu, J., & Wu, J. (2021). How Entrepreneurship Education and Social Capital PromoteNascent Entrepreneurial Behaviours: The Mediating Roles of Entrepreneurial Passion and Self-Efficacy. Sustainability, 13(20), 11158. https://doi.org/10.3390/su132011158Colombo, M. G., Guerini, M., Rossi‐Lamastra, C., & Bonaccorsi, A. (2021). The “first match”between high-tech entrepreneurial ventures and universities: The role of founders’ social ties.The Journal of Technology Transfer, 47(1), 270-306. https://doi.org/10.1007/s10961-021-09848-3D’Este

Conference Session

ENT-7: Approaches to Fostering Self-Efficacy and Data-Driven Decision Making

Collection

2025 ASEE Annual Conference & Exposition

Authors

L. Eric James, Minnesota State University, Mankato; Jennifer Karlin, Minnesota State University, Mankato; Zachary Reed Johnson

Tagged Divisions

Entrepreneurship & Engineering Innovation Division (ENT)

could say that being creative,innovative, and problem-solving are basal characteristics at the heart of American culture. The history ofthe US is strongly colored by innovators dating back to Benjamin Franklin, Thomas Jefferson, and otherscontinuing through the development and expansion of the US. The drive to succeed is so strong in theculture that it is often named as “the American Dream” and as a whole, it overshadows a more criticalpoint – what are the components of “success” and how are we measuring them? The triple bottom linetheory [2] began a very critical and much need change associated with that definition of success: itexpanded it beyond just making profit for a corporation, to factoring in some way the effect of thecompany’s actions

Conference Session

ENT-7: Approaches to Fostering Self-Efficacy and Data-Driven Decision Making

Collection

2025 ASEE Annual Conference & Exposition

Authors

Juan Sebastián Sánchez-Gómez, Universidad ECCI

Tagged Divisions

Entrepreneurship & Engineering Innovation Division (ENT)

technical skills in statistical analysis so they can face business environments with strength andcan make good decisions as entrepreneurs [18].As a practical case and analyzing the results section in a real scenario, we want to talk about howpolice officers in the city of Medellin, used this tool to predict the behavior patterns of car theftand thus take predictive and corrective measures in this situation, then, the description of the case:The data analysis is carried out to determine variables that allow us to evaluate the result andanalyze the strongest trends regarding the modality of vehicle theft in the city of Medellin.The process was carried out through the Crisp DM methodology [19], based on six fundamentalphases such as: understanding the

Conference Session

ERM Technical Session: Developing Engineering Competencies III

Collection

2025 ASEE Annual Conference & Exposition

Authors

Alexis Grace Daniels, Johns Hopkins University; Rachel E Durham

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods Division (ERM)

, interests, goals, and actions, that confidenceand competence are directly proportional—are insufficient, particularly with minoritized youth.Under some circumstances, students can develop a sense of self-efficacy that is not aligned withtheir actual proficiency. Those circumstances include distrust of adults in the school, awarenessof low-quality instruction, and lack of access to high-quality STEM courses. In this study,overinflated mathematics self-efficacy has negative repercussions. While intuitively low self-efficacy does not support persistence in STEM, prior research has found that high mathematicsself-efficacy (measured in high school) was associated with enrollment in a four-year institutionfor young Black women; however, this mathematics

Conference Session

Empowering Pre-College Students through AI and Computer Science: Standards, Self-Efficacy, and Social Impact

Collection

2025 ASEE Annual Conference & Exposition

Authors

Shana Lee McAlexander, Duke University; George Delagrammatikas, Duke University

Tagged Topics

Diversity

Tagged Divisions

Pre-College Engineering Education Division (PCEE)

engineers do. Related out-of-school-time experience thatinformed the creation of our program have elements of physical prototyping, but no HCDapproach explicitly stated, include programs at New York University [11], North Carolina StateUniversity [10], and Columbia University [12]. Numerous sources that have also shown thepositive effects on self-efficacy, career awareness, and STEM-identity [13] illustrate theimportance of such programs to a generation of students for which STEM careers are on the rise.Following, in this paper, we will share our program curriculum with a step-by-step guide forstudent-led project ideation and team selection to develop “Tech for Good” along withevaluation findings.3. Curriculum and Student activitiesStudents were

Conference Session

First-Year Programs Division (FPD) Technical Session 4: Fostering Belonging - Identity, Self-Efficacy, and Retention

Collection

2025 ASEE Annual Conference & Exposition

Authors

Brian Patrick O'Connell, Northeastern University; Kathryn Schulte Grahame, Northeastern University; Richard Whalen, Northeastern University; Constantine Mukasa, Northeastern University; Susan F Freeman, Northeastern University

Tagged Topics

Diversity

Tagged Divisions

First-Year Programs Division (FPD)

360-evaluation that was generalized, this new evaluation mapped all questions backto the individual definitions of the five aspects of team success. Each team member was tasked withevaluating themselves and their teammates on the degree to which they adhered to four of the fiveexpectations (respect, commitment, transparency, and communication) outlined in the team contract theywrote for themselves. This limitation to these 4 was due to the first broad implementation of thisevaluation and those metrics being deemed more immediately visible and measurable for the students.The justice portion of their contracts is intended to be addressed internally and through the gradingadjustments resulting from the evaluations to help students see the

Conference Session

First-Year Programs Division (FPD) Technical Session 4: Fostering Belonging - Identity, Self-Efficacy, and Retention

Collection

2025 ASEE Annual Conference & Exposition

Authors

Peter M Ostafichuk P.Eng., University of British Columbia, Vancouver; Carol Jaeger, University of British Columbia, Vancouver; Alireza Bagherzadeh, University of British Columbia, Vancouver; Jon Nakane, University of British Columbia, Vancouver

Tagged Topics

Diversity

Tagged Divisions

First-Year Programs Division (FPD)

find a balance between challenges faced and resources available to address them[15]. Insufficient challenge can lead to feelings of stagnation in an individual, but too manychallenges may lead to feeling overwhelmed. To measure feelings of being overwhelmed,including feelings of hopelessness and lack of self-efficacy in addressing challenges, thePerceived Stress Scale (PSS) [11]–[13] was also used in this study.The pressures on university students are varied, with academic pressures being a significantcontributor. In the case of engineering students, highly competitive admissions processes, both tothe first-year program and in some cases to discipline placement, result in extended periods ofgrade pressures, which can negatively impact factors

Conference Session

First-Year Programs Division (FPD) Technical Session 4: Fostering Belonging - Identity, Self-Efficacy, and Retention

Collection

2025 ASEE Annual Conference & Exposition

Authors

Theo Landman, University of Michigan; Laura K Alford, University of Michigan

Tagged Divisions

First-Year Programs Division (FPD)

tools explored in the course, and debugging problems that occur in studentcode. It is advised that student staff give pushes in the right direction where possible, and follow aset of structured debugging steps that the students are also provided with where necessary. Officehours can also be used for assistance understanding aspects of the project specifications andcourse guidelines.Related WorksSeveral works prior to this paper have noted that office hours can have a measurable impact onstudent performance outcomes. Finding a definite correlation between use of office hours andimprovement of student grades is a topic of interest to many educators. Current research has usedgraded homework as a metric of assessment [1]. Other papers covered the

Conference Session

ERM Technical Session: Student Mental Health & Wellbeing I

Collection

2025 ASEE Annual Conference & Exposition

Authors

Haleh Barmaki Brotherton, Clemson University; Nathalie Al Kakoun, Engineering Learning Lab, American University of Beirut; Karen A High, Clemson University

Tagged Divisions

Educational Research and Methods Division (ERM)

further alignsthis dimension with Organization (FMPS), Self-oriented perfectionism (MPS), Other-orientedperfectionism (MPS) and High Standards (SAPS). In contrast, failure-avoiding perfectionism isassociated with the fear of making mistakes, often leading to self-criticism. It is conceptually linkedto Concerns over mistakes (FMPS), Doubting of actions (FMPS), Parental Expectations (FMPS),Parental Criticism (FMPS), Socially prescribed perfectionism (MPS), and Discrepancy (SAPS). Byapplying the Excellence-seeking and Failure-avoiding framework to engineering, we observe thatperfectionism can be characterized by persistence and self-efficacy [33], as well as its influence onperformance [34]. Engineering students, compared to other fields, exhibit

Conference Session

ERM Technical Session: Quantitative Instrument Development

Collection

2025 ASEE Annual Conference & Exposition

Authors

Ethan Peter Lum Cisneros, Northwestern University; David P O'Neill, Northwestern University

Tagged Divisions

Educational Research and Methods Division (ERM)

of Southern Weekly,” Fem. Media Stud., vol. ahead-of-print, no. ahead-of-print, pp. 1–24, 2024, doi: 10.1080/14680777.2024.2434628.[30] R. Aghatabay, A. Vaezi, S. S. M. Mahmoodabad, M. Rahimi, H. Fallahzadeh, and S.Alizadeh, “Investigating identity‐related weak developmental assets and their barriers in Iranianfemale adolescents: Self‐worth, self‐efficacy, and personal power,” Psychol. Sch., vol. 60, no. 8,pp. 3019–3039, 2023, doi: 10.1002/pits.22910.[31] ’Ulya Nurul Makiyah, L. ‘Adilah Hayya, and D. S. N. Qisthina, “Politik RepresentasiIdentitas Perempuan dalam Media: Wacana Kritis Pemberitaan KDRT di suara.com,” Acad. J.Da’wa Commun., vol. 5, no. 1, pp. 65–84, 2024, doi: 10.22515/ajdc.v5i1.8158.

Conference Session

ERM Technical Session: Quantitative Instrument Development

Collection

2025 ASEE Annual Conference & Exposition

Authors

Dina Verdín, Arizona State University, Polytechnic Campus

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods Division (ERM)

ways goals differentially impact students, I decided to investigate if, among 2engineering students, there were differences in how these goal orientations impacted Latina,Latino, and White engineering students’ self-efficacy and persistence beliefs. The aim of thiscomparison is to highlight the implications of using a theory and its related survey measures thatwere designed from the perspective of one group of students (i.e., White students).PurposeI take a Quantitative Critical Race Theory (QuantCrit) lens to situate and interpret my researchfindings specifically by answering the following research questions: RQ1. Given that AGT was developed

Conference Session

Supporting Students and Faculty in Computing (Equity, Culture & Social Justice in Education Division ECSJ Technical Session 7)

Collection

2025 ASEE Annual Conference & Exposition

Authors

Alicia Nicki Washington, Duke University; Victoria E. Callais, Duke University

Tagged Topics

Diversity

Tagged Divisions

Culture & Social Justice in Education Division (EQUITY), Equity

research on higher education in the deep south. ©American Society for Engineering Education, 2025 Work in Progress: “When You Know Better, Do Better”: Measuring the Climates of University Computer Science DepartmentsIntroductionThis WIP research paper explores how computer science (CS) students perceive and experiencepostsecondary CS department environments. University CS departments have long attributed alack of diversity to perceived “deficits” (e.g., lack of access to physical devices, preparatory K-12 computing courses, computational thinking skills, self-efficacy, and interest) in students fromgroups that are historically underrepresented in computing by race, gender, socioeconomicstatus, and/or

Conference Session

ERM Technical Session: Methods in Graduate Education

Collection

2025 ASEE Annual Conference & Exposition

Authors

Nosakhare Iyobosa Idiaghe, University of Nebraska - Lincoln; Erin Johnson, Pennsylvania State University; Catherine G. P. Berdanier, The Pennsylvania State University; Jessica Deters, University of Nebraska - Lincoln

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods Division (ERM)

knowledge as its subdimensions [71]. Motivational CQ is thedrive to learn about and engage in culturally diverse settings broken down into intrinsic,extrinsic, and self-efficacy components [71]. Behavioral CQ is the ability to adapt one's verbaland nonverbal behavior to suit different cultural contexts, with subdimensions related to verbal,non-verbal, and speech acts [71]. The ECQS’s expanded structure and accessible format make itparticularly suitable for this study's focus on graduate research contexts. Empirical evidence ofvalidity of the ECQS, using data from 286 participants across 30 countries, demonstrated goodmodel fit through confirmatory factor analysis (CFA). The analysis provided evidence ofconvergent validity and discriminant validity

Conference Session

Biomedical Engineering Division (BED) Postcard Session (Best of WIPs)

Collection

2025 ASEE Annual Conference & Exposition

Authors

Nathan Hyungsok Choe, The George Washington University; Chanyee Hong; Hyeyeon Lim

Tagged Topics

Diversity

Tagged Divisions

Biomedical Engineering Division (BED)

responses.Descriptive statistics summarized the data characteristics, including total responses andcalculation of means and standard deviations to understand data distribution. Chi-squared Test ofIndependence tests analyzed differences in AI language model usage across gender and classstanding. An exploratory factor analysis (EFA) using the principal factor method was conductedon eight items to identify underlying factors of utility and self-efficacy in using LLMs foracademic purposes. The KMO measure of 0.8511 and Bartlett’s test confirmed the data'ssuitability for EFA, followed by a varimax rotation to enhance interpretability. Independent t-tests compared self-efficacy and utility value perceptions across genders and student levels. Alltests, including chi

Conference Session

Construction Engineering Division: Career Preparation

Collection

2025 ASEE Annual Conference & Exposition

Authors

Jingyuan Shen, Georgia Institute of Technology; Jing Wen

Tagged Topics

Diversity

Tagged Divisions

Construction Engineering Division (CONST)

clearer or stronger career aspirations,which could be further examined in future studies with larger and more diverse samples. Thelack of significant changes, particularly for self-efficacy and outcome expectations, may beexplained by the limited duration of the intervention. A two-week program may not providesufficient time to foster measurable shifts in students' confidence or expectations. Anotherpossible explanation for the limited change is that voluntary participation in this construction-related program may reflect a preexisting higher baseline of construction-related confidence andexpectations, resulting in a smaller observable increase.3.2 Correlation analysis for both pre-and post-programThe non-parametric method was used to analyze the

Conference Session

Interdisciplinary Approaches to High School Engineering: Perceptions, Pathways, and Pedagogies

Collection

2025 ASEE Annual Conference & Exposition

Authors

Abeera P. Rehmat, Georgia Institute of Technology; Michael Helms, Georgia Institute of Technology; Meltem Alemdar, Georgia Institute of Technology; Marc Weissburg

Tagged Topics

Diversity

Tagged Divisions

Pre-College Engineering Education Division (PCEE)

,” Turkish J. Educ., vol. 9, no. 1, pp. 64–105, 2020.14. F. Tauro, C. Youngsu, F. Rahim, et al., “Integrating mechatronics in project-based learning of Malaysian high school students and teachers,” Int. J. Mech. Eng. Educ., vol. 45, no. 4, pp. 297–320, Jun. 2017, doi: 10.1177/0306419017708636.15. A. R. Carberry, H. S. Lee, M. W. Ohland, “Measuring engineering design self‐efficacy,” Journal of Engineering Education, vol. 99, no. 1, pp. 71–79, 2010.16. K. M. Whitcomb, Z. Y. Kalender, T. J. Nokes-Malach, C. D. Schunn, C. Singh, “Comparison of self-efficacy and performance of engineering undergraduate women and men,” International Journal of Engineering Education, vol. 36, no. 6, 1996-2014, 2020.17. M. Helms, S. S. Vattam, A. K. Goel

Conference Session

Evaluation and Assessment for Engineering Leadership Programs

Collection

2025 ASEE Annual Conference & Exposition

Authors

James N Magarian, Massachusetts Institute of Technology; Alexander Rokosz, Massachusetts Institute of Technology

Tagged Divisions

Engineering Leadership Development Division (LEAD)

through exams and student deliverables, recent research suggests that EL programs’assessment approaches are often rooted in one of three measurements types: self-efficacymeasurement (e.g., [13, 19, 20]) skill or competency self-assessment (e.g., [5, 21 - 23]), or career- 22related outcomes assessment (e.g., [6 - 8]). The self-efficacy approach involves measuring students’ 7beliefs about their abilities to carry out designated types of performances, sometimes referred to as“task-specific self-confidence” [24, p.1]. Self-efficacy measures typically employ survey items with0%-100% confidence scales in 10% increments [14]. Items are

Conference Session

Design in Engineering Education Division (DEED) - Student Motivation and Learning

Collection

2025 ASEE Annual Conference & Exposition

Authors

Kayla Arlene Pagan, Florida Polytechnic University; Corey James Kado, Florida Polytechnic University; Grace Noel Sturtevant, Florida Polytechnic University; Elisabeth Kames, Florida Polytechnic University

Tagged Divisions

Design in Engineering Education Division (DEED)

these different factorscontribute to a student's success in engineering design education. These factors will be comparedto the students' success in the cornerstone design course, and their success will be measured usingthe students' final grades in the course.This study aims to address three research questions (RQ):RQ1: How does prior STEM experience impact engineering design self-efficacy, and how doesthis impact student performance in a cornerstone design course?RQ2: What self-efficacy factors are impacted by participation in a cornerstone design course anda student’s approach to a design task?RQ3: In what ways do students' academic majors correlate with self-efficacy factors andteamwork perception for students taking cornerstone?2

Conference Session

ME Division 11: Beyond the Build: Communication, Collaboration, and Reflection

Collection

2025 ASEE Annual Conference & Exposition

Authors

Allison Lee, Campbell University

Tagged Divisions

Mechanical Engineering Division (MECH)

surveys to measure increase in self-efficacy. Additionally, anonymized project gradesand final grades from previous semesters will be compared to Fall 2024 grades to explore anychanges in student competency. Findings/Conclusions: Preliminary results indicate that, ingeneral, student self-efficacy increased after completing the project, but additions to the surveyand/or other data collection need to be included in future semesters to help quantify the effects ofSDL in the project. Implications: It is possible that the small addition of story-telling elementsinto the already established end-of-the-semester project may positively correlate with an increasein student self-efficacy and competency in system dynamics. If so, this may be a useful

Conference Session

Innovations and Inclusion in Pre-Service and Pre-College STEM Education

Collection

2025 ASEE Annual Conference & Exposition

Authors

Michael M. Malschützky, Hochschule Bonn-Rhein-Sieg, University of Applied Sciences, Germany; Gesche Neusel, Bonn-Rhein-Sieg University of Applied Sciences; Steven McAlpine, University of Maryland Baltimore County; Jamie R Gurganus, University of Maryland Baltimore County

Tagged Topics

Diversity

Tagged Divisions

Pre-College Engineering Education Division (PCEE)

with their support, participation, and control function across all administrative decisionsregarding personnel, social, and organizational measures at the university. Within the equalityconcept of H-BRS’s EEO, P12-acitivities are offered to female pre-college pupils to give themthe chance to overcome structural, social, and personal barriers.The P12-activities at H-BRS are organized and carried out by staff of the Equal OpportunitiesOffice with the aim of empowering female pupils especially in the fields of engineering andcomputer science and to raise the proportion for female enrollment and retention. Based onBandura's self-efficacy framework [5], the activities are intentionally designed as correctiveexperiences to overcome self-debilitating

Conference Session

ERM Technical Session: Strategies for Student Support

Collection

2025 ASEE Annual Conference & Exposition

Authors

Matthew Bahnson, Purdue University at West Lafayette (COE); Eric Trevor McChesney, University of Pittsburgh; Allison Godwin, Cornell University; Christian D Schunn, University of Pittsburgh; Linda DeAngelo, University of Pittsburgh

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods Division (ERM)

belongingintervention, programming self-efficacy, and course grade for first-year engineering students.Improving the retention of undergraduate students in engineering pathways requires clearframeworks that include predictors and influences on continued enrollment in engineering courses.The persistence of Black, Latiné, or Indigenous (BLI) students remains lower than their peers anddisproportionate to the U.S. population [1]. The persistence of engineering students remains amajor concern with BLI students demonstrating disproportionate attrition in comparison to Whiteand Asian peers. This increased attrition from engineering pathways is often related to systematicexclusion and marginalization in engineering environments [2]-[5]. While some progress has

Conference Session

Reimagining STEM Transitions: Bridging Gaps and Building Resilience in Post-Pandemic Education

Collection

2025 ASEE Annual Conference & Exposition

Authors

Andri Christodoulidou, University of Connecticut; Stephany Santos, University of Connecticut

Tagged Topics

Diversity

Tagged Divisions

Pre-College Engineering Education Division (PCEE)

numerous psychologicalfactors such as student self-efficacy in academic subjects, sense of belonging to campus andprogram community, social and academic adjustment, and motivation to complete theengineering degree. In this study, we combine mixed methods data to evaluate the impact ofBridge with a sample of 35 engineering students of diverse ethnic backgrounds, in three phases:The first and second phases implement a repeated measures design that assesses student self-efficacy in academic subjects, sense of belonging to campus and program community, and socialand academic adjustment. The first Likert type survey is distributed to students a week before theprogram and the second survey at the program completion. The post-program survey includes

Conference Session

First-Year Programs Division (FPD) Work-in-Progress 2: Skills Development and Career Preparation

Collection

2025 ASEE Annual Conference & Exposition

Authors

Woorin Hwang, University of Florida; Andrea Ramirez-Salgado, University of Florida; Rohan Reddy Kalavakonda, University of Florida; Yessy Eka Ambarwati, University of Florida; Pavlo Antonenko; Swarup Bhunia

Tagged Divisions

First-Year Programs Division (FPD)

participants identified as men (n = 16),followed by women (n = 3), and non-binary (n = 1). Ethnoculturally, most participantsidentified as White (n = 15), followed by Asian (n = 4), and Latine (n = 1).Curriculum FeaturesTable 1 provides an overview of the weekly structure of the AIoT curriculum designed totrigger and sustain first-year students’ interest in hardware engineering and support theirengineering self-efficacy and outcome expectations.Table 1. Overview of AIoT curriculum Week Topic Projects 1 AHA board tour 2 RGB sensor modules and predictions Fruit ripeness monitor 3 Methods to measure distances Range detection 4 Smart

Conference Session

First-Year Programs Division (FPD) Technical Session 1: Tech-Forward Teaching - Digital Tools to Enhance Engagement

Collection

2025 ASEE Annual Conference & Exposition

Authors

Minji Yun, University of Florida; Kent J. Crippen, University of Florida

Tagged Topics

Diversity

Tagged Divisions

First-Year Programs Division (FPD)

3focus on first-year students provided valuable insights into their early career perceptions and thefactors influencing them.InstrumentsTwo sets of survey instruments were utilized to address the research questions. The first setcollected personal data (i.e., gender, ethnicity, and academic major) alongside contextual factors(i.e., career awareness, gaming experience, and robotics experience). To ensure standardizedparticipant comparisons, contextual factors were measured on a 5-point Likert scale rangingfrom 1 (strongly disagree) to 5 (strongly agree).The second set, adapted from Chiu et al. [1], assessed the core constructs of SCCT: self-efficacy,outcome expectations, career interest, and career intention. Each construct was measured usingfour

Conference Session

ENT-6: Fostering Creativity, Communication, and Impact in Student Learning

Collection

2025 ASEE Annual Conference & Exposition

Authors

Azadeh Bolhari, University of Colorado Boulder; Angela R Bielefeldt, University of Colorado Boulder; Caroline Steely, University of Colorado Boulder

Tagged Topics

Diversity

Tagged Divisions

Entrepreneurship & Engineering Innovation Division (ENT)

, no. 11, pp. 885–888, 2020. DOI: 10.1016/j.tsc.2020.100688.[7] M. Schar, S. Gilmartin, A. Harris, B. Rieken, and S. Sheppard, "Innovation self-efficacy: Avery brief measure for engineering students," in Proc. 2017 ASEE Annual Conf. & Expo.,Columbus, OH, Jun. 2017. Available: https://doi.org/10.18260/1-2--28533.[8] A. Bolhari, A. Bielefeldt, A. Gowrishankar, M. Leizerovich, S. Gavney, and R. Saxton,"Exploring the Relationships between Artistic Creativity and Innovation Attitudes inEngineering Students." [Online]. Available: https://par.nsf.gov/biblio/10529229.[9] T. Heeren and R. D’Agostino, “Robustness of the two independent samples t-test whenapplied to ordinal scaled data,” Statistics in Medicine, vol. 6, no. 1, pp. 79-90, 1987,https

Conference Session

Culturally Responsive and Identity-Affirming Approaches in Pre-College STEM Education

Collection

2025 ASEE Annual Conference & Exposition

Authors

Timothy Wells, Arizona State University, Polytechnic Campus; Dina Verdin, Arizona State University, Polytechnic Campus

Tagged Topics

Diversity

Tagged Divisions

Pre-College Engineering Education Division (PCEE)

impact” amongmigratory high school students, we designed and implemented a culturally responsive andgamified engineering design activity. The activity aimed to connect engineering concepts tostudents’ cultural backgrounds and experiences while leveraging game-based learning elements toincrease engagement. We administered pre- and post-surveys to measure changes in students’engineering impact, interest, self-efficacy, and identity (n = 235). We used a multiple linearregression model to examine the relationships. Our results show that migratory students’ engineering interest and self-efficacysignificantly supported the development of their belief that engineering could be a tool for socialimpact. Specifically, as students’ engineering

Conference Session

Biological and Agricultural Engineering Division (BAE) Technical Session

Collection

2025 ASEE Annual Conference & Exposition

Authors

Richard Cody Prince, East Tennessee State University; PAMELA J. MIMS, East Tennessee State University; Aruna Kilaru, East Tennessee State University; Lindsay Lee, Michigan State University

Tagged Divisions

Biological and Agricultural Engineering Division (BAE)

include a select cohort of high school students, veterans, aswell as junior and senior undergraduate students within engineering and biology concentrations.Participants will complete content knowledge questions at the end of each module. Students willalso take the Career Connect Student Survey (i.e., soft skills) and the self-efficacy measures (i.e.,generalized self-efficacy, bioengineering self-efficacy, short form occupational self-efficacy),before taking any curriculum modules and then again after they complete the training program.MeasuresSoft Skills To assess soft skill development, we utilize components of an existing validated survey,the Career Connect Student Survey. This survey measures student self-perceptions in areas suchas time

Conference Session

Faculty Development at Various Career Stages

Collection

2025 ASEE Annual Conference & Exposition

Authors

Richard T Buckley P.E., U.S. Air Force Academy

Tagged Topics

Diversity

Tagged Divisions

Faculty Development Division (FDD)

Orientation in an Aeronautical Engineering Department with Very Low Levels of New Faculty Experience to Produce Competent First-Year InstructorsAbstractThis evidence-based practice paper describes the use of both self-efficacy survey instrument andstudent feedback to measure the effectiveness of the New Faculty Orientation (NFO) program inan Aeronautical Engineering department. In our department, roughly 1/4 to 1/3 of the facultyleave and are replaced each academic year. New faculty often have no prior teaching experienceand often have only earned a master’s degree. Although relevant to the degree program, theirdegree may not be in the specific area required to teach the introductory AeronauticalEngineering course. To combat these challenges, we

Conference Session

MATH - Pedogogical Reflections in Mathematics Education

Collection

2025 ASEE Annual Conference & Exposition

Authors

Iouliana Ossipova, University of Louisville; Gholam Abbas Sattar-Shamsabadi II, University of Louisville; Thomas Tretter, University of Louisville; Patricia A Ralston, University of Louisville

Tagged Topics

Diversity

Tagged Divisions

Mathematics Division (MATH)

Table 2, Model 3). However, sense ofbelonging item B3, a reverse-worded survey item, showed moderate cross-loadings with most“self-efficacy” items, suggesting that the reverse-wording may have been confusing or that thisitem does not exclusively measure the “belonging” construct but may overlap conceptually withaspects of “self-efficacy”. As such, we determined that removing this problematic item wouldlikely improve the model’s fit.Stage 4 Results (Model 4)Excluding B3 resolved its cross-loading issues, yielding the best-fitting model (see Table 2,Model 4, which is the final iteration of the measurement model). No additional largemodification indices emerged, suggesting no further modifications were warranted. This modelserved as our final

Conference Session

NSF Grantees Poster Session II

Collection

2025 ASEE Annual Conference & Exposition

Authors

Dina Verdin, Arizona State University, Polytechnic Campus; Tim Wells, Arizona State University, Polytechnic Campus; Ulises Juan Trujillo Garcia, Arizona State University; Andrea Lidia Castillo, Arizona State University

Tagged Topics

Diversity, NSF Grantees Poster Session

levelof engineering interest, engineering self-efficacy beliefs, recognition as engineers, and engineeringagency beliefs. These measures were collected using a 0-4 rating scale, asking students to rate theirlevel of agreement with the survey statements. All survey data were collected during the 1.5-hoursession. A mixed ANOVA was conducted to assess changes in students’ responses to the surveymeasures before and after the activity and to determine whether they differed by gender. Data wereexamined for multivariate outliers using Mahalanobis distance; the one case that violated theassumption was removed. Univariate normality assumptions were assessed through skewness andkurtosis z-scores; all values were within an acceptable range. The