Conference Session

Educational Research and Methods Division (ERM) Technical Session 29

Collection

2024 ASEE Annual Conference & Exposition

Authors

Abasiafak Ndifreke Udosen, Purdue University ; Alejandra J. Magana, Purdue University ; Elsje Pienaar, Purdue University

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Diversity

Tagged Divisions

Educational Research and Methods Division (ERM)

for first-year studentsinfluence the cultivation of teamwork skills. According to the survey results, 94% of theparticipants found team projects with other in-class collaborative activities to be the mostbeneficial in developing teamwork skills and a significant number of students attributed theirteam success to how effectively they distributed the tasks among team members.Therefore, this study aims to contribute to the broader research on teamwork assessments byproviding an understanding of team dynamics and interdisciplinary learning in the context ofteam-based computational modeling projects. The study explores how BiomedicalEngineering graduate students utilize their model-based reasoning skills through effectivecollaboration and social

Conference Session

Educational Research and Methods Division (ERM) Technical Session 12

Collection

2024 ASEE Annual Conference & Exposition

Authors

Matthew Bahnson, Purdue University; Eric Trevor McChesney, University of Pittsburgh; Carlie Laton Cooper, University of Georgia; Allison Godwin, Cornell University; Linda DeAngelo, University of Pittsburgh; Kevin R. Binning

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Diversity

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Educational Research and Methods Division (ERM)

researches structures that contribute to underrepresentation in STEM majors and is currently a Graduate Assistant for the UBelong Collaborative.Dr. Allison Godwin, Cornell University Allison Godwin, Ph.D. is an associate professor in the Robert Frederick Smith School of Chemical and Biomolecular Engineering at Cornell University. Her research focuses on how identity, among other affective factors, influences diverse students to choose engineering and persist in engineering. She also studies how different experiences within the practice and culture of engineering foster or hinder belonging and identity development. Dr. Godwin graduated from Clemson University with a B.S. in Chemical Engineering and Ph.D. in Engineering and

Conference Session

Educational Research and Methods Division (ERM) Technical Session 22

Collection

2024 ASEE Annual Conference & Exposition

Authors

Mohammad Faraz Sajawal, University of Oklahoma; Javeed Kittur, University of Oklahoma

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Educational Research and Methods Division (ERM)

education by addressinglanguage barriers and enhancing accessibility to educational materials. By breaking downlanguage barriers, ChatGPT can make learning resources more readily available to studentsworldwide, regardless of their native language. Additionally, the mention of cross-culturalunderstanding and collaboration suggests that ChatGPT may play a role in fosteringcommunication and cooperation among students from diverse cultural backgrounds. Thecollaborative learning experiences facilitated by ChatGPT can transcend linguistic differences,promoting a more inclusive and interconnected global educational landscape. “AI can improve accessibility for students with disabilities. It can provide text-to-speech, speech-to-text, and other

Conference Session

Educational Research and Methods Division (ERM) Technical Session 14

Collection

2024 ASEE Annual Conference & Exposition

Authors

Hayaam Osman, Purdue University ; Matthew W. Ohland, Purdue University

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Diversity

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Educational Research and Methods Division (ERM)

various aspects such asstudent recruitment, funding allocation, and public perception [3]. It is crucial for a university toinvestigate retention to understand the reasons behind student departures. Retention rates amongcollege students are frequently employed as a metric for gauging institutional accountability andsuccess. Moreover, these rates are increasingly utilized as a basis for allocating resources.Gaining insights into the factors that influence college student retention has become imperativefor institutions of higher education. The ongoing issue of low graduation rates among students inengineering programs remains a significant cause for concern within the higher educationlandscape. Many students drop out early in their undergraduate

Conference Session

Educational Research and Methods Division (ERM) Technical Session 2

Collection

2024 ASEE Annual Conference & Exposition

Authors

Tazim Ahmed, The University of Texas at Arlington; Syed Mufid, The University of Texas at Arlington; Shuchisnigdha Deb, The University of Texas at Arlington; Mahmudur Rahman, The University of Texas at Arlington

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Educational Research and Methods Division (ERM)

workforce.ConclusionThe study concludes that TPB-based interventions can effectively enhance student participationin team projects within STEM education. These interventions offer a promising avenue foreducators seeking to improve teamwork and collaboration among students. However, the studyalso acknowledges limitations, such as the potential variability in intervention effectivenessbased on individual student differences and the broader applicability across different STEMdisciplines.Future research should explore the long-term impacts of these interventions on students'teamwork skills and their transition to professional environments. Additionally, further studiescould investigate the scalability of the interventions and their adaptability to diverse

Conference Session

Educational Research and Methods Division (ERM) Technical Session 21

Collection

2024 ASEE Annual Conference & Exposition

Authors

Kelsey Scalaro, University of Nevada, Reno; 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)

Paper ID #41440Undergraduate Engineering Students’ Experiences of Faculty RecognitionDr. Kelsey Scalaro, University of Nevada, Reno Kelsey is a recent PhD graduate from the Engineering Education program at the University of Nevada, Reno. She has a BS and MS in mechanical engineering and worked in the aerospace industry for four years before returning to academia to complete her doctoral degree. Her research focusses are in undergraduate engineering identity and is interested in exploring how it can be equitably supported through pedagogical practices.Dr. Indira Chatterjee, University of Nevada, Reno Dr. Chatterjee has

Conference Session

Educational Research and Methods Division (ERM) Technical Session 6

Collection

2024 ASEE Annual Conference & Exposition

Authors

Qin Liu, University of Toronto; Greg Evans P.Eng., University of Toronto; Oliver Pan, University of Toronto

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods Division (ERM)

development [18-20].Research on student engagement has been rooted in a well-established field of inquiry on howpostsecondary students’ experiences affect their learning and development [21-24]. The generalconclusion of this body of literature is correlational, that is, the greater the students’ engagementin curricular and co-curricular activities on campus, the greater their level of cognitive andpsychosocial development. For this reason, student engagement has been well recognized as apredictor of student learning and an important factor of student success [5, 25, 26]. The positivecorrelation between student engagement and learning outcomes has been reported extensively inhigher education literature. For example, a study that used multi

Conference Session

Educational Research and Methods Division (ERM) Technical Session 22

Collection

2024 ASEE Annual Conference & Exposition

Authors

Xiaorong Zhang, San Francisco State University; Stephanie Claussen, San Francisco State University; Fatemeh Khalkhal, San Francisco State University; Yiyi Wang, San Francisco State University

Tagged Divisions

Educational Research and Methods Division (ERM)

Engineers (SWE) at SFSU. ©American Society for Engineering Education, 2024 Evaluating ChatGPT's Efficacy in Qualitative Analysis of Engineering Education ResearchAbstractThis study explores the potential of ChatGPT, a leading-edge language model-based chatbot, incrafting analytic research memos (ARMs) from student interview transcripts for use inqualitative data analysis. With a rising interest in harnessing artificial intelligence (AI) forqualitative research, our study aims to explore ChatGPT's capability to streamline and enhancethis process.The research is part of a mixed-methods project examining the relationships between engineeringstudents' team experiences, team disagreements, and

Conference Session

Educational Research and Methods Division (ERM) Technical Session 25

Collection

2024 ASEE Annual Conference & Exposition

Authors

Jordan Nickel, University of Waterloo; Gregory Litster, University of Toronto; Christopher Rennick, University of Waterloo; Ada Hurst, University of Waterloo; Carol Hulls P.Eng., University of Waterloo

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Educational Research and Methods Division (ERM)

repair and upgrading to keep engineering professionals engaged and contributing in theworkplace.” Universities must create and maintain environments where students can experiencepositive affect, and train students to be aware of their affect, including developing theiremotional intelligence to assist their future peers with their affect [4].2.2 Self-efficacy in WIL contextsTo date, most of the research on the benefits of WIL programs for engineering students havefocused on outcomes rather than experiences [3]. For example, Blair and colleagues [9]investigated the impact cooperative education had on engineering graduates across threedimensions, GPA, duration of time in school and starting salary. Their findings indicate thatstudents who

Conference Session

Educational Research and Methods Division (ERM) Technical Session 23

Collection

2024 ASEE Annual Conference & Exposition

Authors

Godwyll Aikins, Florida Institute of Technology; Catherine G. P. Berdanier, Pennsylvania State University; Kim-Doang Nguyen, Florida Institute of Technology

Tagged Divisions

Educational Research and Methods Division (ERM)

data skills will offer insightsfor preparing the next generation of engineers to thrive in this era.Research underscores the importance of a strong engineering identity for student retention andsuccess [4]. Motivation is influenced by an individual's perceived value, expected outcomes, andpotential costs of fulfilling educational requirements [5]. The growing emphasis on data skillswithin engineering curricula makes exploring the relationship between data proficiency,engineering identity, and motivation crucial for maintaining a competitive workforce. This is thefocus of our ongoing research, seeking to bridge the gap between data skills and engineeringidentity development.Researchers have investigated how competencies like problem-solving

Conference Session

Educational Research and Methods Division (ERM) Technical Session 18

Collection

2024 ASEE Annual Conference & Exposition

Authors

John Mario Bonilla; Miguel Santiago Valarezo; Miguel Andres Guerra, Universidad San Francisco de Quito

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Educational Research and Methods Division (ERM)

overabundance of low-quality homework canresult in student disengagement from school and exacerbate mental health issues, leading to itsrejection [50].Research objectiveThe main objective of this research is to understand and explore the effects of frequentunannounced evaluations on university students’ performance. Moreover, this research aims toexamine the pedagogical approach associated with frequent unannounced evaluations todetermine its effectiveness in fostering habits of academic integrity among students. Thisinvolves promoting positive study habits for genuine learning, as opposed to extended periodswithout learning that could potentially lead to temptations for cheating and other problemsassociated. The article presents the findings derived

Conference Session

Educational Research and Methods Division (ERM) Technical Session 15

Collection

2024 ASEE Annual Conference & Exposition

Authors

Boni Frances Yraguen, Vanderbilt University; Elisa Koolman, University of Texas at Austin; Roxanne Moore, Georgia Institute of Technology; Katherine Fu, University of Wisconsin

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Diversity

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Educational Research and Methods Division (ERM)

Paper ID #43928Promoting Equity and Cognitive Growth: The Influence of an AuthenticLearning Assignment on Engineering Problem-Solving SkillsDr. Boni Frances Yraguen, Vanderbilt University Boni Yraguen is an Instructional Consultant with the Vanderbilt Center for Teaching. Boni is passionate about engineering education. She has led and participated in various educational studies on the impact of student reflections, authentic learning assignments, the use of technology in the classroom, and graduate education.Elisa Koolman, University of Texas at Austin Elisa is a Ph. D. student at the University of Texas at Austin. They

Conference Session

Educational Research and Methods Division (ERM) Technical Session 29

Collection

2024 ASEE Annual Conference & Exposition

Authors

Matthew M. Grondin, University of Wisconsin, Madison; Michael I. Swart, University of Wisconsin, Milwaukee

Tagged Divisions

Educational Research and Methods Division (ERM)

conceptually discordant gestures alignedwith course-specific speech; developing their understanding of the formalisms taught in theirMechanics of Materials course. Thus, there is reason to suspect that collaborative interactionsbetween students are beneficial when mechanically reasoning in developing students’ scientificreasoning. In this discussion, we look to broaden the perspective of our findings by offeringpractical implications for improving engineering education learning and assessment practices. Although beyond the scope of our initial research question, the moderate correlations ofCC to nM during both argumentation and negotiation as well as with common ground suggeststhat: (1) students less frequently produced conceptually misaligned

Conference Session

Educational Research and Methods Division (ERM) Technical Session 28

Collection

2024 ASEE Annual Conference & Exposition

Authors

Nikita Dawe, University of Toronto; Amy Bilton, University of Toronto; Lisa Romkey, University of Toronto

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods Division (ERM)

Paper ID #43149Identifying Curriculum Factors that Facilitate Lifelong Learning in AlumniCareer Trajectories: Stage 3 of a Sequential Mixed-Methods StudyNikita Dawe, University of Toronto PhD student in the Department of Mechanical and Industrial Engineering at the University of Toronto, Collaborative Specialization in Engineering Education.Amy Bilton, University of TorontoMs. Lisa Romkey, University of Toronto Lisa Romkey serves as Associate Professor, Teaching and Associate Director, ISTEP (Institute for Studies in Transdisciplinary Engineering Education and Practice) at the University of Toronto. Her research focuses on