Conference Session

Educational Research and Methods Division (ERM) Technical Session 21

Collection

2024 ASEE Annual Conference & Exposition

Authors

Sarah A. Wilson, University of Kentucky; Ava Kay Huth, Iowa State University of Science and Technology; Sara Xochilt Lamer, University of Kentucky; Joseph H. Hammer; Matthew Whitwer, University of Kentucky

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Educational Research and Methods Division (ERM)

within engineering spaces. This can facilitate the cultivation of anenvironment where seeking help for mental health concerns is normalized, destigmatized, andreadily accessible to all students.AcknowledgmentsThis study was supported by a grant from the National Science Foundation. (NSF Award2024394).References[1] M. E. Duffy, J. M. Twenge, and T. E. Joiner, "Trends in mood and anxiety symptoms and suicide-related outcomes among US undergraduates, 2007–2018: Evidence from two national surveys," Journal of Adolescent Health, vol. 65, no. 5, pp. 590-598, 2019.[2] S. K. Lipson, E. G. Lattie, and D. Eisenberg, "Increased Rates of Mental Health Service Utilization by U.S. College Students: 10-Year Population-Level Trends (2007

Conference Session

Educational Research and Methods Division (ERM) Technical Session 24

Collection

2024 ASEE Annual Conference & Exposition

Authors

Kimia Moozeh, Queen's University ; Paul Cameron Hungler P.Eng.

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Educational Research and Methods Division (ERM)

Paper ID #41514Use of Theories in Extended Reality Educational Studies: A Systematic LiteratureReviewDr. Kimia Moozeh, Queen’s University Kimia Moozeh is a research associate at Queen’s university in Engineering Education. Her PhD dissertation at University of Toronto explored improving the learning outcomes of undergraduate laboratories. Her research interests are lab-based learning, online learning and metacognition.Dr. Paul Cameron Hungler P.Eng., Dr. Paul Hungler is an assistant professor in the Department of Chemical Engineering and Ingenuity Labs at Queenˆa C™s University. Prior to starting his current position, Major

Conference Session

Work-in-Progress Session: Understanding Issues Faced by Graduate Students and Faculty

Collection

2023 ASEE Annual Conference & Exposition

Authors

Mais Kayyali, Florida International University; Derrick James Satterfield, University of Nevada, Reno; Adam Kirn, University of Nevada, Reno; Alexandra Coso Strong, Florida International University

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Educational Research and Methods Division (ERM)

from each identified document according to the following criteria:author/s, publication date, document type, purpose, study design/methods/sample, and outcomesor conclusions.Stage 5. Collating, summarizing, reporting results There were 90 papers identified from the first two databases that included “graduateprogram director” and “engineering” as search terms in the title/abstract/subject and 70 identifiedresults in the last database that searched specifically for “graduate program director” in all fields.In the screening phase, a total of 147 were screened and 134 excluded followinginclusion/exclusion criteria which included the title and abstract review and a skim of the fulltext when needed, thus leaving 13 records for analysis

Conference Session

Self-Regulation and Learning

Collection

2023 ASEE Annual Conference & Exposition

Authors

Gabriel Astudillo, Pontificia Universidad Católica de Chile; Isabel Hilliger P.E., Pontificia Universidad Catholica de Chile; Jorge Baier, Pontificia Universidad Catholica de Chile; Sofía Helena María Olmedo Saavedra, Pontificia Universidad Catholica de Chile

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Educational Research and Methods Division (ERM)

environmentmanagement.Consequently, the control of the effect that emotional self-regulation could have on therelationship between mental well-being and self-regulated learning remains open, so future workshould incorporate other dimensions of self-regulation learning into the proposed model,analyzing how these are impacted by the two dimensions of mental well-being. Future work isalso expected to estimate the indirect effect of the gaps in social integration of specific groups ontheir mental well-being and on the self-regulation of their learning.AcknowledgementsReserved for blind review.References[1] S. J. Bork and J. L. Mondisa, “Science, Engineering, and Mathematics Graduate Student Mental Health: Insights from the Healthy Minds Network Dataset,” in 2019 ASEE

Conference Session

Engineering Programs and Institutional Factors

Collection

2023 ASEE Annual Conference & Exposition

Authors

Kiara Lynn Steinhorst, University of Nevada, Reno ; Kelsey Scalaro, University of Nevada, Reno; Rachael Ciara Young; Indira Chatterjee, University of Nevada, Reno; Ann-Marie Vollstedt, University of Nevada, Reno; Adam Kirn, University of Nevada, Reno

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Educational Research and Methods Division (ERM)

Education at the University of Nevada, Reno. There she completed her Bachelorˆa C™s and is working on her Master of Science in mechanical engi- neering. Her research focuses are on undergraduate engineMs. Rachael Ciara Young Rachael has experience working in kindergarten through college engineering education and is passionate about fostering access and excitement for STEM studies. She graduated with dual bachelor’s degrees in electrical engineering and environmental science in 2022. Rachael currently works in aerospace with an emphasis on avionics and electrical power systems.Ms. Indira Chatterjee, University of Nevada, Reno Indira Chatterjee received her M.S. in Physics from Case Western Reserve University, Cleveland

Conference Session

Promoting Well-Being in Engineering Education: Strategies and Perspectives

Collection

2023 ASEE Annual Conference & Exposition

Authors

Connie Mosher Syharat, University of Connecticut; Alexandra Hain, University of Connecticut; Arash Esmaili Zaghi P.E., University of Connecticut; Catherine G. P. Berdanier, Pennsylvania State University

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Educational Research and Methods Division (ERM)

lack oftransparency about university process; workload; role conflict [34]; the political landscape; andimpostor syndrome [35]. Satterfield et. al [30]. noted that the pool of research on the graduatestudent experience in STEM was limited and compiled a comprehensive literature review in2018 to set the stage for future work. The summary focused on the experiences of graduatestudents during their studies, and how individual factors (the influence of the student’s advisor),programmatic factors (isolation and teaching assistantships), and external factors (work-lifebalance and family influence) influence their persistence in the field [30]. Berdanier et al.’s [36]study of social media forums found that among the factors influencing attrition in

Conference Session

Research Methodologies – Session 1

Collection

2023 ASEE Annual Conference & Exposition

Authors

Joseph Francis Mirabelli, University of Illinois at Urbana-Champaign; Karin Jensen, University of Michigan; Jennifer Cromley, University of Illinois Urbana-Champaign; Sara Rose Vohra, University Of Illinois at Urbana-Champaign

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Educational Research and Methods Division (ERM)

. Participants were then recruited, given consentinformation, and scheduled to participate.During the scheduled interview times, in an initial briefing, the participants were asked torecord verbal consent, given information about the study including instructions on how tothink aloud and respond, and given an opportunity to ask clarifying questions about the CImethod. Then participants were shown the survey and responded aloud to how they wouldanswer survey items. The interviewer(s) asked concurrent probing questions as participantsanswered these questions aloud, and at the end of each section of related items, theinterviewers asked broader retrospective questions. These questions included assessing theoverall clarity and design of the study, the

Conference Session

Educational Research and Methods Division (ERM) Technical Session 6

Collection

2024 ASEE Annual Conference & Exposition

Authors

Syed Ali Kamal, University at Buffalo, The State University of New York; Syeda Fizza Ali, Texas A&M University; Matilde Luz Sanchez-Pena, University at Buffalo, The State University of New York

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Educational Research and Methods Division (ERM)

Multidisciplinary Engineering. Her work focuses on instructional strategies in engineering, and educational technology. She is also passionate about student mental health and broadening participation in engineering.Matilde Luz Sanchez-Pena, University at Buffalo, The State University of New York Dr. Matilde S´anchez-Pe˜na is an assistant professor of Engineering Education at the University at Buffalo – SUNY where she leads the Diversity Assessment Research in Engineering to Catalyze the Advancement of Respect and Equity (DAREtoCARE) Lab. Her research focuses on developing cultures of care and well-being in engineering education spaces, assessing gains in institutional efforts to advance equity and inclusion, and using data science

Conference Session

Promoting Well-Being in Engineering Education: Strategies and Perspectives

Collection

2023 ASEE Annual Conference & Exposition

Authors

Muhammad Asghar, Utah State University; Daniel Kane, Utah State University; Angela Minichiello P.E., Utah State University; Wade H Goodridge, Utah State University

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Educational Research and Methods Division (ERM)

happiness and wellbeing course discussed in this paper focuses onbuilding student capacity in many important areas. The goals and objectives which we aim toachieve with this course are widely supported by empirical research. We argue that this course willprovide a solid foundation to undergraduate students when they need it the most, during their firstyear to thrive in the rest of their academic years. 12REFERENCES 1. Z. Abrams, “Student mental health is in crisis. Campuses are rethinking their approach,” Apa.org, Oct. 01, 2022. https://www.apa.org/monitor/2022/10/mental-health-campus- care 2. S. K. Lipson et al., “Trends in college student

Conference Session

Educational Research and Methods Division (ERM) Technical Session 5

Collection

2024 ASEE Annual Conference & Exposition

Authors

Vincent Oluwaseto Fakiyesi , University of Georgia; Deborah Gbemisola Fabiyi, Washington State University; Isaac Damilare Dunmoye , University of Georgia; Olanrewaju Paul Olaogun, University of Georgia; Nathaniel Hunsu, University of Georgia

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Educational Research and Methods Division (ERM)

students’ misconceptions. As anext phase, we are embarking on a systematic review of CIs in engineering. This endeavor seeksto uncover more patterns regarding their usage and assess the overall reliability and validity ofCIs in engineering field. Appendix A: List of Concept Inventories developed and used in Engineering education within the included studiesS/N Author(s) Name of CIs Measurement Focus Description1 Y. Ngothai, M.C. Chemical Chemical Engineering Assess understanding of Davis. (2012) Engineering Concept chemical engineering Inventory (CECI) concepts.2

Conference Session

Educational Research and Methods Division (ERM) Technical Session 25

Collection

2024 ASEE Annual Conference & Exposition

Authors

Alexander Pagano, University of Illinois at Urbana - Champaign; Taylor Tucker Parks, University of Illinois at Urbana - Champaign; Saadeddine Shehab, University of Illinois at Urbana - Champaign

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Educational Research and Methods Division (ERM)

, “Criteria for Accrediting Engineering Programs.” ABET, pp. 5–6, 2019.[3] J. E. Froyd, P. C. Wankat, and K. A. Smith, “Five major shifts in 100 years of engineering education,” Proc. IEEE, vol. 100, no. SPL CONTENT, pp. 1344–1360, 2012.[4] J. W. Dally and G. M. Zhang, “A Freshman Engineering Design Course,” J. Eng. Educ., vol. 82, no. 2, pp. 83–91, Apr. 1993.[5] R. H. Todd, C. D. Sorensen, and S. P. Magleby, “Designing a Senior Capstone Course to Satisfy Industrial Customers,” J. Eng. Educ., vol. 82, no. 2, pp. 92–100, 1993.[6] S. Howe and J. Wilbarger, “2005 National Survey of Engineering Capstone Design Courses,” ASEE Annu. Conf. Expo. Conf. Proc., 2006.[7] S. Howe, S. L. Poulos, and L. M. Rosenbauer, “The 2015

Conference Session

Educational Research and Methods Division (ERM) Technical Session 13

Collection

2024 ASEE Annual Conference & Exposition

Authors

Marjan Naghshbandi, University of Toronto; Sharon Ferguson, University of Toronto; Alison Olechowski, University of Toronto

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Educational Research and Methods Division (ERM)

-building outcomes.Together, prior findings that suggest support programs enhance students’ social capital and socialcapital’s relevance for persistence in CS motivate our study into whether students acquired socialcapital from CSSI, how CSSI’s design and environment influenced students’ access to socialcapital, and whether participants’ outgoing social capital impacted their persistence in CS. ● RQ1: What form(s) of social capital in CS did students acquire from CSSI? ● RQ2: What were features of CSSI that influenced students’ access to social capital in CS? ● RQ3: How did access to social capital from CSSI impact students’ persistence in CS?MethodsHosted by Google and first launched in 2008 [51], CSSI’s name recognition and maturityenabled

Conference Session

Research Methodologies – Session 1

Collection

2023 ASEE Annual Conference & Exposition

Authors

Amy L. Brooks, Oregon State University; James L. Huff, Harding University

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Educational Research and Methods Division (ERM)

Conference Session

Disciplinary Engineering Education Research – Session 2

Collection

2023 ASEE Annual Conference & Exposition

Authors

Sakshi Solanki, Utah State University; kiana kheiri; Marissa A Tsugawa, Utah State University ; Hamid Karimi, Utah State University

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Educational Research and Methods Division (ERM)

me because I am too… Blond? [S Contractions o you are breaking up with me because I am too…✨Neurodive rgent✨] Remove So you are breaking up with me because I am too Blond So y Punctuation and ou are breaking up with me because I am too Neurodivergent Symbols Convert to Lower so you are breaking up with me because i am too blond so y Case ou are breaking up with me because i am too neurodivergent Remove breaking blond breaking neurodivergent Stopwords Lemmatize break blond break neurodivergent Tokenize WordList(['break', 'blond', 'break', 'neurodivergent'])5.4.3. Describing the CorpusPrior to training the LDA model, we first explored the contents of

Conference Session

Self-Regulation and Learning

Collection

2023 ASEE Annual Conference & Exposition

Authors

Taiwo Raphael Feyijimi, University of Georgia; Olanrewaju Paul Olaogun, University of Georgia; ISAAC DAMILARE DUNMOYE, Engineering Education and Transformation Institute, College of Engineering, University of Georgia, Athens, GA, USA; Nathaniel Hunsu, University of Georgia

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Educational Research and Methods Division (ERM)

increasing student performance but also help the students tobecome self-directed learners which is essential for them to become lifelong learners.6References[1] G. Fellner-Röhling, K. Hromek, J. Kleinknecht, and S. Ludwig, "How to counteract biased self-assessments? An experimental investigation of reactions to social information," Journal of Economic Behavior & Organization, vol. 206, pp. 1-25, 2023/02/01/ 2023, doi: https://doi.org/10.1016/j.jebo.2022.12.002.[2] R. Sharma, A. Jain, N. Gupta, S. Garg, M. Batta, and S. Dhir, "Impact of self-assessment by students on their learning," International Journal of Applied and Basic Medical Research, vol. 6, p. 226, 07/01 2016, doi: 10.4103/2229-516X.186961.[3] G

Conference Session

Educational Research and Methods Division (ERM) Technical Session 10

Collection

2024 ASEE Annual Conference & Exposition

Authors

Rachel Figard, Arizona State University; Jennifer M. Bekki, Arizona State University; Samantha Ruth Brunhaver, Arizona State University, Polytechnic Campus

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Educational Research and Methods Division (ERM)

InformationPseudonym Racial Gender Disability(s) Engineering Major Year-in-School International Identity Identity Student (Y/N)Susan White Woman Multiple physical disabilities Mechanical Third-year NLucy Black Woman Cognitive, learning Civil Third-year YAria White Woman Cognitive Industrial Ph.D. NClaire White Woman Cognitive, learning, physical Computer Science Fourth-year N Co-researcher Recruitment and Data Collection This

Conference Session

Educational Research and Methods Division (ERM) Technical Session 22

Collection

2024 ASEE Annual Conference & Exposition

Authors

Amanda Ross, Virginia Polytechnic Institute and State University; Andrew Katz, Virginia Polytechnic Institute and State University; Kai Jun Chew, Embry-Riddle Aeronautical University, Daytona Beach; Holly M. Matusovich, Virginia Polytechnic Institute and State University

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Educational Research and Methods Division (ERM)

identified by the other model. The GPT-4 model tended to identifymore basic relationships, while manual analysis identified more nuanced relationships.Our results do not currently support using GPT-4 to automatically generate graphicalrepresentations of faculty’s mental models of assessments. However, using a human-in-the-loopprocess could help offset GPT-4’s limitations. In this paper, we will discuss plans for our futurework to improve upon GPT-4’s current performance.IntroductionAssessments are found in every engineering classroom and are an important part of our educationsystem [1]-[3]. Assessments play many different roles, including understanding studentimprovements in learning [4], acting as a tool to assist students with learning [5], [6

Conference Session

Educational Research and Methods Division (ERM) Technical Session 10

Collection

2024 ASEE Annual Conference & Exposition

Authors

Lara Perez-Felkner, Florida State University; Ciera Fluker; Tarik J. Dickens; Chelsea Armbrister, Florida A&M University - Florida State University

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Educational Research and Methods Division (ERM)

(DE-NA0004115) , MSIPP-I AM EMPOWERED funded by the Department of Energy (DE-NA0004004), NSF-RISEfunded by the National Science Foundation (1646897), CREST Center funded by the National Science Foundation (1735968),RETREAT: Retaining Engineers through Research Entrepreneurship and Advanced Materials Training funded by the NationalScience Foundation (1950500), DREAM: Diversity in Research and Engineering of Advanced Materials Training. Funded by AirForce Research Laboratory (FA8651-18-1-0003) and Catalyst Project: A Two-Semester Driven Conceptualization Training ofManufacturing Intelligence in Materials Engineering (MIME) - A Froshmore FUTURES Program (2011853).References[1] M. L. Espino, S. L. Rodriguez, and B. D. Le, "A Systematic

Conference Session

Educational Research and Methods Division (ERM) Technical Session 17

Collection

2024 ASEE Annual Conference & Exposition

Authors

Sakhi Aggrawal, Purdue University ; Alejandra J. Magana, Purdue University

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Educational Research and Methods Division (ERM)

pedagogical strategies that harness the strengths of agile frameworks to enrich the educational experience of students. References[1] D. Lopatto, “Undergraduate research as a high-impact student experience,” Peer Rev., vol. 12, no. 2, pp. 27–31, Mar. 2010.[2] J. O. Shanahan, E. Ackley-Holbrook, E. Hall, K. Stewart, and H. Walkington, “Ten Salient Practices of Undergraduate Research Mentors: A Review of the Literature,” Mentor. Tutoring Partnersh. Learn., vol. 23, no. 5, pp. 359–376, Oct. 2015, doi: 10.1080/13611267.2015.1126162.[3] G. D. Kuh, “High-Impact educational practices.,” Peer Rev., vol. 10, no. 4, pp. 30–31, Sep. 2008.[4] S. Aggrawal and A. J. Magana, “Undergraduate Student Experience with Research Facilitated by Project

Conference Session

Educational Research and Methods Division (ERM) Technical Session 24

Collection

2024 ASEE Annual Conference & Exposition

Authors

Samuel B. Gavitte, Tufts University; Milo Koretsky, Tufts University; Jeffrey A. Nason, Oregon State University

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Educational Research and Methods Division (ERM)

the group encountered in the virtual laboratory was to decide whatparameters to use for their first experiment. In this encounter, the group is confronted with and addressesthis gap. 1 Blue: So, now we have to pick the range. 2 Red: So, the first six, do you want to do a higher range? 3 Green: 5, 10... 15, 20, 25- 4 Red: Well, it would be up to 25 because one's a control. Right? So, we only have five. 5 Green: Well, we want to go up to a maximum of 100, right? That's the goal? 6 Red: We can do that. So, do you want to do obviously 10, but... 20's? That would give us the wide range for zero to 100 for the first run. 7 Green: We could

Conference Session

Research Methodologies – Session 2

Collection

2023 ASEE Annual Conference & Exposition

Authors

Neha Kardam, University of Washington; Shruti Misra, University of Washington; Denise Wilson, University of Washington

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Educational Research and Methods Division (ERM)

optimize NLP use in qualitative analyses and demonstrate itsefficacy in further expanding qualitative research capacity in engineering education research.Future research will also explore code and theme frequency by gender, race, and ethnicity andalso explore error rates among those different groups.References[1] E.D. Liddy, "Natural Language Processing," in Encyclopedia of Library and Information Science, 2nd Ed., NY, Marcel Decker, Inc., 2001.[2] S. Tenny, J. M. Brannan, G. D. Brannan, Qualitative Study. Treasure Island, FL: StatPearls Publishing, 2022. Available from: https://www.ncbi.nlm.nih.gov/books/NBK470395/[3] "About e-rater", Educational Testing Service (ETS). [online]. Available: https://www.ets.org/erater/about.html[4] A

Conference Session

Educational Research and Methods Division (ERM) Technical Session 29

Collection

2024 ASEE Annual Conference & Exposition

Authors

David Paul Harvie, Embry-Riddle Aeronautical University ; Kimberly A. Luthi, Embry-Riddle Aeronautical University ; Monica Surrency, Embry-Riddle Aeronautical University ; John K. Wilson, Embry-Riddle Aeronautical University

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Educational Research and Methods Division (ERM)

goal of improving academicperformance. The persistence in engineering will need to be assessed as Year 3 begins as theinitial cohort of students will start to enroll in upper-level coursework along the engineeringpathway.References[1] S. E. Lewis, "Retention and Reform: An Evaluation of Peer-Led Team Learning," Journal of Chemical Education, vol. 88, no. 6, pp. 703-070, 2011.[2] L. Gafney and P. Varma-Nelson, Peer-Led Team Learning Evaluation, Dissemination, and Institutionalization of a College Level Initiative, Springer Science & Business Media, 2008.[3] J. Liou-Mark, A. E. Dreyfuss and L. Younge, "Peer Assisted Learning Workshops in Precalculus: An Approach to Increasing Student Success," Mathematics & Computer

Conference Session

Educational Research and Methods Division (ERM) Technical Session 30

Collection

2024 ASEE Annual Conference & Exposition

Authors

Adrian Nat Gentry, Purdue University ; Julie P. Martin, University of Georgia; Kerrie A. Douglas, Purdue University ; Eric Holloway, Purdue University; Cole Thompson, Purdue University

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Educational Research and Methods Division (ERM)

andheteronormativity within the organizations and the limited number of nonbinary individuals withwhom to network [20], [23].In contrast, networks that consist of nonbinary and trans* individuals contribute to thepersistence of nonbinary students. Feelings of safety to be oneself, community, and sharedopportunities play a role in this contribution [17]. In their work on the social networks ofLGBTQ+ STEM students, Hughes et al. [24] found that LGBTQ+ students in STEM were morelikely to be out to their close social network who provided personal and academic support thanthose in their extended social network. Similarly, Campbell-Montalvo et al.’s [25] work onsexual and gender minoritized students social capital and fit in STEM found that sexual andgender

Conference Session

Educational Research and Methods Division (ERM) Technical Session 5

Collection

2024 ASEE Annual Conference & Exposition

Authors

Sarah Johnston, Arizona State University; Cody D. Jenkins, Arizona State University; Thien Ngoc Y. Ta, Arizona State University, Polytechnic Campus; Ryan James Milcarek, Arizona State University; Gary Lichtenstein, Arizona State University; Samantha Ruth Brunhaver, Arizona State University, Polytechnic Campus; Karl A. Smith, University of Minnesota, Twin Cities

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Educational Research and Methods Division (ERM)

developed three additional levels of question organization: socialquestions, logistic questions regarding problem-solving, and questions for checking the value ofa variable. From our analysis, questions and their associated discussions reached as high as theevaluate level. Examples of questions from each observed category are shown in Table 2. Table 2. Example questions for each category Category Question Associated Verb(s) Social How do you guys feel about the exam next week? NA Logistic Does someone want to take over [solving the problem]? NA Checking the

Conference Session

Student Experiences and Development – Session 1

Collection

2023 ASEE Annual Conference & Exposition

Authors

Shannon M. Clancy, University of Michigan; Berenice Alejandra Cabrera, University of Michigan; Sarah Jane (SJ) Bork, University of Michigan; Kayleigh Merz, University of Michigan; Erika Mosyjowski, University of Michigan; Shanna R. Daly, University of Michigan; Lisa R. Lattuca, University of Michigan; Joi-Lynn Mondisa, University of Michigan

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Educational Research and Methods Division (ERM)

Conference Session

Supporting Students with Disabilities and Understanding Spatial Ability and Accessibility

Collection

2023 ASEE Annual Conference & Exposition

Authors

Marisa K. Orr, Clemson University; Lauren Fogg, Louisiana Tech University; Catherine Hendricks Belk, Clemson University; Katie Evans, Houston Baptist University; Mitzi Desselles, Louisiana Tech University

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Educational Research and Methods Division (ERM)

ability.In the second year of the program (2018), the project team introduced a second measure, theRevised Minnesota Paper Form Board Test (RMPFBT) [12]. First published in the 1930’s, thetest measures an individual's ability to manipulate two-dimensional objects in their mind and isoften used to assess spatial visualization skills in engineering students. Unlike the PSVT:R, theRMPFBT has two equivalent forms, which should reduce practice effects. In 2018 and 2021,form AA was given as the pre-test, and BB was given as the post-test. In 2019 and 2022, theforms were reversed (BB as the pre-test). As a paper-and-pencil test, the RMPFBT could not beadministered in 2020.Reliability refers to the stability of test scores over time and the internal

Conference Session

Student Experiences and Development – Session 2

Collection

2023 ASEE Annual Conference & Exposition

Authors

Tejas Gupta, Nanyang Technological University ; Ibrahim H. Yeter, Nanyang Technological University; Michael Jin Khoo, Singapore University of Technology and Design

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Educational Research and Methods Division (ERM)

, while SE, SS, and BR were insignificant.These findings contradict the findings of Jiang and Zhang’s (2012) paper, which found thatSS and BR were predictors of CG in Chinese engineering students.The results also showed significant associations among the psychological factors studied. SEhad a positive correlation with OE and SS and a negative correlation with BR. OE waspositively correlated with SS, interests, and CG while negatively correlated with BR. IN waspositively correlated with CG and negatively correlated with BR. These results align with theresults of Inda et al.’s (2013) paper, which found that SE, OE, and IN mediate the effect ofcontextual supports and BR on college students’ intentions to embark on a degree inengineering. Similarly

Conference Session

Educational Research and Methods Division (ERM) Technical Session 14

Collection

2024 ASEE Annual Conference & Exposition

Authors

Sierra Outerbridge, University of Central Florida; Michelle Taub, University of Central Florida; Marino Nader, University of Central Florida; Sudeshna Pal, University of Central Florida; Ricardo Zaurin, University of Central Florida; Hyoung Jin Cho, University of Central Florida

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Educational Research and Methods Division (ERM)

of Central Florida Professor Hyoung Jin Cho is the Associate Chair of the Department of Mechanical and Aerospace Engineering at the University of Central Florida. He coordinates two undergraduate programs – B. S. Mechanical ©American Society for Engineering Education, 2024 Paper ID #43410Engineering and B. S. Aerospace Engineering. He has published over 130 peer-reviewed journal andproceeding papers. He has 12 and 6 patents granted in the U.S. and Korea, respectively, in the areas ofsensors, microfluidic devices, and micro/nanofabrication. His current research focus is on miniaturizedenvironmental sensors and sample

Conference Session

Reviewing Methods for Educational Research

Collection

2023 ASEE Annual Conference & Exposition

Authors

Alexandra Mary Jackson, Rowan University; Cheryl A. Bodnar, Rowan University

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Educational Research and Methods Division (ERM)

method is structural analysis, where a researcher observes anarrative by identifying the outline, or structure, of how it's told. Structural analysis involvespiecing together the plot of the story without making inferences that may shift the storyteller'swords. The third method, constructed narrative analysis, closely relates to Polkinghorne's [20]narrative analysis technique, where specific events are synthesized to form one main narrative.This form of analysis may involve direct quotes from the participant(s), inviting the reader tomake their own inferences.Kellam et. al [13] points out the trade-offs with using each type of analysis method, as each typemay be beneficial for answering different questions. However, they make it clear that the

Conference Session

Educational Research and Methods Division (ERM) Technical Session 24

Collection

2024 ASEE Annual Conference & Exposition

Authors

Bradley J. Sottile, The Pennsylvania State University

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Educational Research and Methods Division (ERM)

) and macroethical situations (e.g., anengineering profession’s social responsibility considered collectively) (Herkert, 2005). Thisexists against a backdrop of increased attention on companies’ efforts on corporate socialresponsibility (CRS), given that “companies perform their CSR duty to fulfill their socialobligations not only to extend their market reach but also as a strategy to fulfill the socialobligation[s] placed on firms by society” (Lin, Banik, & Yi, 2016, p. 108). Looking at these side-by-side, it is almost unsurprising that some researchers such as Smith et al. (2021) would call forthe need for grounding engineering ethics education around CRS efforts to enhance students’ roleethics.Codes of ethics arise frequently in