Education, 31(6), 651–660. https://doi.org/10.1080/03043790600911712AppendixA. Qualtrics Survey Instrument Questions 1. Please indicate how much you agree with the following statements (Likert-scale from strongly disagree to strongly agree) a. Aerospace engineering is a “technical” space where “social” or “political” issues such as inequality are irrelevant to engineers’ work. b. It is easy to be an ethical engineer in the aerospace industry. c. Ethical issues do not pertain to new aerospace technologies or systems. d. Technology can’t be good or bad in itself. What matters is how people choose to use the technology. e. I know of aerospace companies that I
paradigms that undergird engineering education, practice, and industry [12],[14]–[17]. Typically, these explorations are concerned with the paradigms, or beliefs aboutknowledge (epistemology), the nature of being (ontology), and methodological threads inengineering education. Many scholars also study the sociocultural norms and assumptions thatexist within formative engineering spaces [18]–[22]. However, one underexplored area isengineering research more broadly. Most work examining engineering culture concerns itselfwith connections to the education and training of new engineers. Explicitly exploring the spaceof engineering research, which is often occupied by graduate students, engineering faculty, andresearch scientists, would provide critical
physically.”. 4Survey Prompt AdditionsThe think-aloud sessions identified some common concerns about the wording and scope of thesurvey prompts. One of the identified issues was the lack of survey prompts specifically focusedupon the research process. Many of the engineering EVT survey items focused upon coursework[7], which was reasonable given its intended use for an undergraduate context. However, as theresearch component of a doctoral program is just as critical to the degree as the coursework [4],it was identified that these prompts would need to be repeated to provide opportunities forresponses related to both components of a students
Bowe (2021) point out, “[c]ase studies are considered to be the mostpopular method to teach engineering ethics” (p. 47). Case studies are so ubiquitous inengineering ethics education practice that some engineering faculty cannot articulate why theyhave chosen to adopt the pedagogical approach in their own classrooms. As case studies areconceptualized for this purpose by the profession, students inductively (Merry, 1954) considersituations or scenarios intended to simulate things they may see in professional practice (Herreid,1994). Despite their popularity, utilizing case studies is not entirely without concern. While casestudies sync well with problem-based learning currently in vogue in engineering education, caseselection and design has
methodological development. ©American Society for Engineering Education, 2023 A Qualitative Methods Primer: A Resource to Assist Engineering Education Scholars in Mentoring Traditionally-Trained Engineering Faculty to Educational ResearchAbstract This research methods full paper presents a primer on qualitative analysis methodsintended to be a resource for experienced qualitative engineering education researchers tocommunicate the basics of qualitative research methods to traditionally-trained technicalengineering faculty embarking on educational research initiatives. The recognition and growth ofengineering education has drawn new
body is a key and necessary component for addressing DEIB concerns withinengineering. It has been suggested that engineering leaders in academia, including faculty, sharethe responsibility of educating themselves and others about topics surrounding DEIB. Thus,exploring engineering faculty practices about DEIB can begin to shape and reshape the academiccultures that promote, ignore, or hinder DEIB efforts.Previous literature states that faculty are key to promoting participation in education and creatingsafe, equitable, and inclusive environments for student success [3]. Nonetheless, engineeringfaculty members who are novices to discussions of race and inequity or lack DEIB backgroundknowledge may inadvertently adopt viewpoints, assumptions, or
New York Hasan Asif, is a graduate from the University at Buffalo in Data Science, possesses a keen interest in data transformation and gaining insights from data, includes expertise in setting up statistical tests, transforming data, and creating visualizations. He has demonstrated his skills by architecting systems to analyze the longitudinal participation of students throughout their studies. ©American Society for Engineering Education, 2024Exploring Variance in Undergraduate Research Participation: A Quantitativeand Qualitative Investigation Among Students with Differing Levels ofInvolvementIntroductionThis research paper concerns undergraduate research, a high impact experience [1] that
Paper ID #41510Unpacking Critical Socializers Impacting STEM Students’ Motivation at aMinority Serving InstitutionDr. Jeffrey Stransky, Rowan University Dr. Stransky is a post-doctoral research associate in the School of Applied Engineering and Technology at the New Jersey Institute of Technology. He obtained his PhD in Engineering Education and MS in Mechanical Engineering from ¬¬Rowan university. Dr. Stransky seeks to understand the engineering ideologies that promote potential disparities between engineers’ practices and their micro- and macroethics. Dr. Stransky is passionate about developing innovative educational
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 for training socially responsible engineers. ©American Society for Engineering Education, 2024 Association of Religiosity and Help-Seeking among International Students in Undergraduate Engineering EducationBackground: The increasing prevalence of mental health issues among college students,particularly international engineering students, has become a growing concern. While previousstudies have explored
students are the newest team members and all recently joined the project.Team Y’s research project is a large, multi-component project in which there are multipleactivities that are occurring simultaneously. The project includes elements of both research andpractice and seeks to develop and support a community of practice focused on addressingsystemic issues in engineering education. While individual faculty lead specific efforts, the teammakes a point to collaboratively make decisions and ensure alignment with their larger goals.There are a few specific roles that are important to the critical interaction we present here. Dr.Peters facilitates the team meetings by creating the initial agenda and guiding discussion. Dr.Johnson is leading the
Paper ID #43779Wellbeing of Graduate Engineering Students: A Systematic ReviewMr. Syed Ali Kamal, University at Buffalo, The State University of New York Syed Ali Kamal is a doctoral student at the Department of Engineering Education at University at Buffalo. His research interests lie in the area of social justice and issues related to diversity, equity and Inclusion.Syeda Fizza Ali, Texas A&M University Syeda Fizza Ali is currently pursuing her PhD in Interdisciplinary Engineering (emphasis in Engineering Education) at Texas A&M University. She works as a graduate research assistant at the Department of
evidence there is for a survey of teaming skillsand attitudes given as a pilot. Of our 17 tested constructs, 16 were found to work appropriately.All items loaded above 0.4, communalities were above 0.3, and resulting reliabilities wereappropriate. Observing the TLI and RMSEA of the final models, TLI was met on 11 while RMSEAwas met on seven. While concerning at first, we find this okay given Scheidt et al.’s (2018) originalwork showing that a similar outcome occurred. We expect our models to trim slightly withconfirmatory work, especially our exploratory constructs, leading to stronger fit indices.We are surprised, however, that Big5 did perform as poorly as it did. We expect to test the fitfurther using EFA as well as confirmatory faculty
Paper ID #36856From Engineering Students to Student Engineers: Reflections, Identity,and Positioning in Co-curricular ActivitiesDr. Zhiyi Liu, University at Buffalo Zhiyi Liu is a researcher and educator with research interests in learning and instruction. Dr. Liu was a postdoctoral associate in the Department of Engineering Education at the State University of New York at Buffalo.Dr. Andrew Olewnik, University at Buffalo, The State University of New York Andrew Olewnik is an Assistant Professor in the Department of Engineering Education at the Univer- sity at Buffalo. His research includes undergraduate engineering
Paper ID #38577Integrating Participatory Methods in the Study of Equity and InclusionDr. Kristen Moore, University at Buffalo, The State University of New York Kristen R. Moore is an Associate Professor in the Department of Engineering Education at University at Buffalo. Her research focuses primarily on technical communication and issues of equity, inclusion, and social justice.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
Paper ID #43214An Emerging Methodological Toolkit to Support Design of Problem-BasedLearning Environments: Connecting Problem Characteristics and KnowledgeTypesDave Mawer, University at Buffalo, The State University of New YorkDr. Andrew Olewnik, University at Buffalo, The State University of New York Andrew Olewnik is an Assistant Professor in the Department of Engineering Education at the University at Buffalo. His research includes undergraduate engineering education with focus on engineering design, problem-based learning, co-curricular involvement and its impact on professional formation, and the role of reflection
Paper ID #38789Stigma of mental health conditions within engineering culture and itsrelation to help-seeking attitudes: Insights from the first year of alongitudinal study ˜ University at Buffalo, The State University of New YorkMatilde Luz S´anchez-Pena, Dr. Matilde S´anchez-Pe˜na is an assistant professor of Engineering Education at 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 the development of cultures of care and wellbeing in engineering education spaces
ofperspectives, awareness, and experiences engaging with ethical issues, faculty have theopportunity to address these differences by adapting curricula and tailoring instruction to addressthese concerns. Reforming how we discuss macroethics in the classroom allows educators tohave the ability to positively impact student motivation, critical thinking abilities, and effectivecommunication within engineering spaces. This research paper highlights the need formacroethics education integration into engineering curricula. By encouraging students andfaculty alike to challenge the status quo of the aerospace community, we can reevaluate andreform the discipline's ethical foundations. Furthermore, through the investigation of students'perceptions of
teaching within thesemester [11].From the instructor's standpoint, student observers offer the benefits of peer evaluation whilebringing a unique learner perspective that faculty may lack [12], [13]. Positioned as observers,students can provide valuable feedback on elements such as classroom climate, pacing, clarity,and engagement techniques [14]. Research suggests that observers’ feedback enhancesinstructors' awareness of their teaching practices and introduces new methodologies forimplementation in the classroom [11], [12]. This process enables faculty members to continuallyenhance their instructional approaches.From the student’s standpoint, several investigations indicated that engaging in the process ofobjectively reviewing classes empowers
learning processes that support ChatGPT's operation. Beyondtechnical details, additional research examined ChatGPT's useful applications in a variety of fields.Research has demonstrated its ability to support tasks related to content generation, enhancecustomer service, and facilitate human-computer interaction. In their investigation of ChatGPT'sapplication in customer service contexts, Kung et al. (2023) brought up clinical decision-makingin particular, highlighting the technology's capacity to improve user satisfaction and expeditecommunication. Investigations into ChatGPT's social implications have also brought upsociocultural and ethical issues. Academics have examined concerns about fairness, bias, andprivacy in content generated by ChatGPT
.’ (Hillary)Hence, instead of determining whether it is right or wrong to use GenAI, it is crucial forinstructors and engineering faculties to clearly clarify their viewpoints regarding the use of thistechnology and ensure their opinion can be widely adopted by students at the beginning of theirlearning.Furthermore, as previously discussed, our interview extensively addressed the reliability issue ofGenAI, including concerns about misinformation, AI hallucination, and its limited capacity tosolve complex problems: ‘The generative AI is not pretty good in math or comprehending complex probability questions. And also, a lot of the times you need help with creating diagrams, it always misinterprets the question and the required output
ChatGPT evolving in the future andwhat impact do you think it will have on education? (3) What ethical considerations should beconsidered when using ChatGPT in an educational setting? and (4) Can ChatGPT promote criticalthinking and problem-solving skills in students? Why?The responses were coded using NVivo to examine the perceptions of engineering students usingChatGPT. A total of 269 responses were included in the analysis. The responses revealed diverseviewpoints on the future of ChatGPT in education, examining its potential impact on teaching andlearning. While advancements are anticipated, ethical concerns like privacy, academic integrityand equitable access surfaced as significant issues. Opinions on ChatGPT’s role in boosting
X andFacebook to upload course-related materials and participate in class discussions [4].SMPs are increasingly recognized in Engineering Education (EE) with the potential tosupport student and faculty participation and engagement. A thorough analysis of socialmedia data can offer valuable insights on EE. By examining social media interactions (i.e.,contents of user-generated posts), educators and researchers can identify emerging topics thatare gaining traction in the engineering community. Such analysis may provide valuableinsights into student engagement, revealing what subjects or topics resonate most. It alsooffers a platform for students to express concerns related to EE, which can be instrumental inshaping curricular and pedagogical
. Whenteams are told to communicate more with members, but active steps are not taken to resolve issues ofmarginalization, the communication practiced only results in further marginalization. It is necessarytherefore to not only seek to change the communicative practices that create or compound students’experiences of marginalization, but to analyze and change the infrastructures that facilitatemarginalization in the first place. Our current research project seeks to address this critical need.However, studying marginalization and creating conditions for change requires a new methodologicalapproach to engineering communication. This paper proposes a new integrated methodological approachto systematically analyzing communication infrastructure with
these codes are new, emergent from our data throughthe abductive coding process; the only addition to the larger categories is extending the definition of“Faculty behaviors” to also include departmental behaviors, since many new Master’s students did not yethave a research advisor. Throughout the data, students took a very agentic view of their own development,often attributing their issues to things they “could have done differently” or things they “wished they wouldhave known” rather than more directly articulating which entity could have provided that needed support.As such, as data were analyzed, students were not accusing their faculty members or departments ofanything, and through this qualitative coding process, the research team was
architecture. Subsequentresearch beyond technical intricacies explored the practical applications of ChatGPT acrossvarious domains. Studies highlighted its role in facilitating human-computer interaction,improving customer service experiences, and supplement content generation tasks. Kung et al.(2023) examined the use of ChatGPT in customer service settings, specifically mentioning clinicaldecision-making, emphasizing its ability to streamline communication processes and enhance usersatisfaction. Furthermore, investigations into ChatGPT’s societal implication have raised ethicaland socio-cultural concerns. Scholars have scrutinized issues pertaining to bias, fairness, andprivacy in ChatGPT-generated content. Borji (2023) investigated the presence of
sustainable and developmental goals of our planet. Inthe past, elective courses in the humanities have been offered as part of the engineeringcurriculum, however, even these attempts do not solve the problem as the humanities andengineering courses continue to be siloed and there is no conversation between theengineering and the humanities faculty. To have a synergy between the humanities andengineering, there is a need for joint curriculum design and adopting collective pedagogicalapproaches.This work-in-progress paper showcases a pedagogical innovation that was employed in acourse for engineering students. It introduces a new transdisciplinary course which has beenco-designed by faculty belonging to the humanities and technology domains
possible that a new situation could be anuncertain situation, but an uncertain situation does not necessarily have to be a new situation.Within item concernsSpecific issues and concerns related to an item are discussed in this section. Items that three ormore participants were initially confused with are discussed and recommendations presented. Inaddition, item nine is presented, even though it was found confusing to only one participant. Thiswas included because the researchers believed that a wording change (based on the analysis)could reduce participant confusion of the item.Item 2: I am able to revise the way I think about a new situation to help me through it.Four out of the five participants indicated that the prompt was confusing. One
. Cooperation Spectrum: Students consistently mentioned their desire to solve problems bycommunicating more. The majority of communication responses fall under two categories:‘communicate to change’ and ‘communicate to understand.’ This theme aligned with thecooperation spectrum from the Dual Concern Model. Students who wanted to be morecooperative would communicate to understand problems occurring in their team members' lives.As one student shared, “Keep in mind the external problems that may be affecting yourteammates. Communication is important in solving issues within the team.” Students whodemonstrated being less cooperative and more assertive would communicate to tell their teammembers that they were doing something wrong and needed to change
for Engineering Education, 2023Exploring composite narratives as a methodology to understand and shareresearch findings in engineering educationAbstractThis methods paper explores the development and utility of composite narratives in engineeringeducation research. Composite narratives combine aspects of multiple interviews into a singlenarrative. Researchers in engineering education are increasingly beginning to use compositenarratives to enable more nuanced understandings of the phenomenon we are studying whilemitigating potential issues around participant confidentiality. Because composite narratives are arelatively new methodology in engineering education and higher education more broadly, moreexamples of how to construct and utilize
about utilizing instructional strategies that better connect engineering coursework to practice.Dr. Elena Joy Caruthers, Otterbein University ©American Society for Engineering Education, 2024 Can Small Changes in Course Structure Have a Big Impact on Retention in Early Engineering Coursework?AbstractRetention in collegiate engineering programs is a problem not specific to a single college oruniversity, but across the engineering field, and this pilot study introduces a new approach forimproving this retention issue. Studies report that up to 50% of students who begin anengineering degree program do not complete it, and this attrition is particularly high for studentsin their first and