. Participantsfound it difficult to extend their goals because graduation was so far away and there were fewopportunities for reflection within their programs. Implications from this work will help students,faculty, and administrators begin conversations about student goals and encourage students toengage in reflective practices to determine the value of the doctoral degree for them along withwhether their courses and research align with their goals.INTRODUCTION & LITERATURE REVIEW Attrition is high in engineering graduate programs. The 10-year completion rate forengineering PhDs is only 60% depending on the discipline [1], with attrition rates at approximately35% for women, 24% for men, and as high as 57% for African American engineering
conversation shifts about the content). By determining whether the codebook istransferable in the same context, we can provide evidence for its robustness and application inengineering educational contexts. Figure 1 shows an overview of the research process includingthe summer study. Figure 1. Overview of the research design.4.1. Research Context – TikTokTikTok is a popular, video-based social media platform where users create short video clips thatdescribe or show their experiences as a form of expression and has unique community interaction[60], [61]. TikTok, gained popularity during the COVID-19 pandemic [60] and continues to beone of the top apps on both the Apple App Store and Google Play (as of February 2023
. She is currently working with Dr. Marissa Tsugawa on Neurodiversity Research and Education. She believes that neurodiversity can help her better understand her younger brother’s condition (Asphyxiation) and respond to his basic needs because his mind works differently from everybody else’s due to which he unable to express his feelings and pain.kiana kheiriDr. Marissa A Tsugawa, Utah State University Marissa Tsugawa is an assistant professor at Utah State University focusing on neurodiversity and identity and motivation. She completed her Ph.D. in Engineering Education focusing on motivation and identity for engineering graduate students.Hamid Karimi, Utah State University I completed my Ph.D. in Computer
.[2] T. R. Hinkin, "A Brief Tutorial on the Development of Measures for Use in Survey Questionnaires," Organizational Research Methods, vol. 1, no. 1, pp. 104-121, 1998, doi: https://doi.org/10.1177/109442819800100106.[3] T. R. Hinkin, "Scale Development Measures.," in Research in Organizations, R. A. Swanson and E. F. H. III Eds. San Francisco, California: Berrett-Koehler Publishers, Inc, 2005, ch. 10.[4] A. Costello and J. Osborne, "Best practices in exploratory factor analysis: four recommendations for getting the most from your analysis," Practical Assessment, Research, and Evaluation, vol. 10, Article 7, 2019, doi: https://doi.org/10.7275/jyj1-4868.[5] K. Popper, The Logic of Scientific
2023, she was a Research Associate Professor and Senior Lecturer in Engineering Fundamentals at the University of Tennessee, Knoxville. She was also the Director of the Fundamentals of Engineering and Computing Teaching in Higher Education Certificate Program. Her research focuses on empowering engineering education scholars to be more effective at impacting transformational change in engineering and developing educational experiences that consider epistemic thinking. She develops and uses innovative research methods that allow for deep investigations of constructs such as epistemic thinking, identity, and agency. Dr. Faber has a B.S. in Bioengineering and a Ph.D. in Engineering and Science Education from Clemson
. Internalconsistencies for each of the six subscales, measured by Cronbach’s α, ranged from 0.751 to0.878; average discrimination indices ranged from 0.509 to 0.688. The development of thisquestionnaire affords researchers the opportunity to more deeply explore students’ attitudestoward and perceptions of engineering, as well as the relationship among these two phenomena.Introduction and BackgroundA diverse pool of engineering graduates who can apply sociotechnical thinking – consideringboth technical and non-technical factors (social, economic, cultural, political, etc.) [1, 2] – isneeded to solve complex, interdisciplinary problems that have a significant impact on society atboth local and global levels (e.g., climate change, access to clean water, etc.) [3-5
of the Department of Civil Engineering. As a faculty, she has developed a number of novel courses to improve student learning, and to share her expertise on aspects of ambient air quality management. Her research focuses on engineering pedagogy and air quality management to address environmental safety and justice issues. In this capacity, she is a fierce advocate for local communities and communities abroad. ©American Society for Engineering Education, 2023 A Systematic Implementation of Four Versions of a Course-Based Intervention to Reduce Attrition Among Civil Engineering Students: Overall Study Design and Implementation of First VersionINTRODUCTIONNationally and
ASEE and represents ASEE on the Engineering Accreditation Commission. He was the 2002–2006 President of Tau Beta Pi and is a Fellow of the ASEE, IEEE, and AAAS. He was inducted into the ASEE Hall of Fame in 2023. ©American Society for Engineering Education, 2024 A novel research design: Using multilevel discrete-time survival analysis to investigate the effect of Calculus I on engineering student persistenceAbstractThe persistence of engineering students through graduation continues to be a concern in highereducation. Previous studies have highlighted a link between students’ performance inintroductory mathematics courses and graduation rates. Focusing on a crucial foundationalcourse within the
the gaps between engineering education and practice,” in The Science and Engineering Workforce Project, Cambridge, MA: National Bureau of Economic Research, 2018, pp. 129-163.[16] R. Korte and S. LeBlanc, (2021). “Studying the Formation of Engineers: A Case Study of a Higher Education Learning Ecology,” in Proceedings of the American Society for Engineering Education Conference, 2021, Long Beach, California USA.[17] U. Bronfenbrenner, The Ecology of Human Development: Experiments by Nature and Design, Cambridge, MA: Harvard University Press, 1979.[18] U. Bronfenbrenner and P. A. Morris, “The Ecology of Developmental Processes” in Handbook of Child Psychology (5th ed.) Volume 1: Theoretical Models of Human Development, R
, persistence, and has beenlinked to a boost in students’ motivation to learn (Ditta, Strickland-Hughes, Cheung, & Wu,2020). Undergraduate research experience was also found to better equip students for graduateschool or careers (Sell, Naginey, & Stanton, 2017; Altman, et al., 2019). Through undergraduateresearch, students learn professional skills such as maintaining notes, identifying researchproblems, reading scientific literature, collaborating with peers in a research setting, and writingand presenting findings to an audience in their field of discipline (Carpenter & Pappenfus, 2009).Undergraduate research is said to be one of ten high impact practices shown to enhance andimprove college student performance and success (Kuh, 2008). A
Paper ID #38286Validity evidence for measures of statistical reasoning and statisticalself-efficacy with engineering studentsDr. Todd M. Fernandez, Georgia Institute of Technology Todd is a lecturer in the Wallace H. Coulter Department of Biomedical Engineering at Georgia Institute of Technology. His research interests are engineering students beliefs about knowledge and education and how those beliefs interact with the engineeringDavid S. Ancalle, Department of Civil and Environmental Engineering, Kennesaw State University David S. Ancalle is a Lecturer in the Department of Civil and Environmental Engineering at Kennesaw
Paper ID #37800Developing and Evaluating a Virtual Training Process for Energy AuditEducationBehlul Kula, Michigan State University Behlul Kula is currently a Ph.D. student and graduate research assistant in the Civil & Environmental Engineering Department at Michigan State University (MSU). Also, he is a team member of the MSU Industrial Assessment Center (IAC) as an energy & sustainability analyst. He completed his Bachelor’s Degree in Civil Engineering from Istanbul Technical University (ITU), Turkey in 2015. He then worked in Qatar as a site civil engineer at Dogus Construction company for nearly one year. After
-PEER, vol. 5, no. 1, p. 4, 2015.[6] W. Roldan, J. Hui, and E. M. Gerber, “University makerspaces: Opportunities to support equitable participation for women in engineering,” Int J Eng Educ, vol. 34, no. 2, pp. 751– 768, 2018.[7] V. Wilczynski, “Contributions of Academic Makerspaces to Design Education,” Des. Educ. Today Tech. Contexts Programs Best Pract., pp. 91–114, 2019.[8] C. R. Forest et al., “The Invention Studio: A University Maker Space and Culture.,” Adv. Eng. Educ., vol. 4, no. 2, p. n2, 2014.[9] V. Wilczynski, J. Zinter, and L. Wilen, “Teaching engineering design in an academic makerspace: Blending theory and practice to solve client-based problems,” in 2016 ASEE Annual Conference & Exposition, 2016.[10
education research. Her research interests include faculty change, 3D spatial visualization, gender inclusive teamwork, and study- ing authentic engineering practice. Dr. Panther has experience conducting workshops at engineering education conferences both nationally and internationally, has been a guest editor for a special issue of European Journal of Engineering Education on inclusive learning environments, and serves on the Aus- tralasian Journal of Engineering Education advisory committee.Prof. Heidi A. Diefes-Dux, University of Nebraska - Lincoln Heidi A. Diefes-Dux is a Professor in Biological Systems Engineering at the University of Nebraska - Lincoln. She received her B.S. and M.S. in Food Science from Cornell
. Scott Bartholomew, Brigham Young UniversityMr. Scott Thorne, Purdue University Scott Thorne is a doctoral candidate at Purdue University in Technology, Leadership, and Innovation, and a Purdue Doctoral Fellow. He graduated with a bachelor’s degree in Engineering and Technology Teacher Education in 2009, and a master’s degree in Technology, Leadership, and Innovation in 2021, both from Purdue University. His research focuses on meaningful dual credit experiences, and teaching tools and strategies for the 9-12 engineering and technology classroom. Scott has taught Engineering & Technology at the high school level in Indiana and Iowa, Design Thinking as an instructor at Purdue, and has engineering experience in
held fellowships in Ethics of AI and Technology & Society organizations.James N. Magarian, Massachusetts Institute of Technology James Magarian, PhD, is a Sr. Lecturer and Associate Academic Director with the Gordon-MIT En- gineering Leadership (GEL) Program. He joined MIT and GEL after nearly a decade in industry as a mechanical engineer and engineering manager in aerospace/defense. His research focuses on engineering workforce formation and the education-careers transition.Dr. Alison Olechowski, University of Toronto Alison Olechowski is an Assistant Professor in the Department of Mechanical & Industrial Engineer- ing and the Institute for Studies in Transdisciplinary Engineering Education and Practice (ISTEP
strong impact on the learning experience and should receive training toensure consistency and that learning objectives are met.1 IntroductionIn the past five years, nearly half of undergraduate mechanical and manufacturing engineeringstudents enrolled in a mandatory third-year materials science course at the University of Calgaryconsistently report on their end-of-course surveys that their laboratories are not linked to theirin-class learning or to their careers following graduation. There have also been calls from thelocal engineering industry, the local government [1], and University of Calgary administration [2]for more industry-relevant learning to be included in post-secondary curricula. Previous work bythe ASEE has established that the
other scenarios related to STEM or engineering education settings (Hertz,2022).Social Relations Model and Estimation The SRM represents a class of models investigating dyadic relationships within a groupof research subjects. While typically, dyadic relationships are defined as two-person interactionsand ratings for human-subject studies, the SRM can be used for other studies where the researchsubjects are animals or organizations, etc. The SRM has wide applications in psychology,economics, education, and other social sciences; and has been reviewed as a canonical way toinvestigate interpersonal relationships data stemming from a round-robin design (e.g., Kenny &La Voie, 1984; Kwan et al., 2008; Lüdtke et al., 2013; Martin, 2013
to connect researchto practice and impact engineering students. This approach involved creating scenarios andprobing questions from the composite narratives for sharing the research findings in academicand industrial educational settings. Lastly, we discuss the benefits and limitations of thismethodology, highlighting the research findings brought into focus using this methodology andcomparing and contrasting these results with those that emerged using an inductive-deductivethematic analysis approach to the data also taken in this research project.Key Words: Composite narratives, Methodology, Participant confidentiality, Research to practiceapproachesIntroductionComposite narratives are a way to combine aspects of multiple interviews into a
produced [16], [31]–[33]. Traditionalgrounded theory requires inductive coding in which codes come directly from the data. Deductivecoding is not possible because existing theory or literature does not provide potential codes for theresearcher. In grounded theory, themes arise from codes and are used to develop a theory to explainthe phenomenon of interest. There are disagreements in the research community as to whethergrounded theory is a methodology (i.e., carries its own set of goals and values that affect theresearch design, research questions, data collection, data analysis, and interpretation), or whethergrounded theory at this point in time is simply a method of analyzing data that is synonymous withthe “constant comparative method” of data
students to learn, from reading and listening to creating their ownstudy tools and applying their knowledge to other methods merging these and/or including otherways to learn, and for a given student to learn best depends partially on how compatible thestudent’s preferred study methods interact with the instructor’s teaching methods [6-7].Also, how a course is designed and delivered may impact how a student can learn. A flipped classis a type of blended online-offline course which involves teaching students through requiringstudents to view some type of material, such as a video or an excerpt from a book, before a lectureto encourage active participation for the students in lectures [8]. Designing a flipped class requiresconsiderations which may
Paper ID #43899Stories of Appalachian Engineers: A Phenomenographical Study of AppalachianStudents’ Quest for Success in Undergraduate Engineering ProgramsMr. Matthew Sheppard, Clemson University I earned my B.S. in Industrial Engineering and my M.S. in Mechanical Engineering; both at Clemson University. I have several years’ experience as a Manufacturing Engineer supporting process improvements, machine design, and capital project management. Now, I have entered into the Engineering and Science Education PhD program at Clemson University in tandem with teaching hands-on engineering principles in an undergraduate
Paper ID #42007Validity Evidence for the Sophomore Engineering Experiences SurveyMiss Fanyi Zhang, Purdue University Fanyi is a third-year Ph.D. student at Purdue University. She majors in Industrial-Organizational Psychology and works as a Graduate Research Assistant for the Women in Engineering program. Her area of interest focuses on conceptualizing and promoting flourishing and understanding the dynamics of positive relationships. Her current research agenda includes developing a mentor support framework and promoting the effective design of mentor training.Dr. Beth M. Holloway, Purdue University Beth Holloway is
computing) from Beijing University of Posts and Telecommunications China in 2015. He worked as a software engineer at Sina for one year after he graduated as a master from China Agriculture University in 2009. He received the Best Paper Award from IEEE Edge in 2019. ©American Society for Engineering Education, 2023 WIP: A Study Report in a Web Technologies Course: What Makes Feedback Effective for Project-based Learning? Alaa Jaber1 , Kimberly Lechasseur2 , Khairul Mottakin1 , Zheng Song1 akjaber@umich.edu, kalechasseur@wpi.edu, khairulm@umich.edu, zhesong@umich.edu 1 Computer and Information Science Department, University of Michigan at
, 377-399.[18] Secules, S., McCall, C., Mejia, J. A., Beebe, C., Masters, A. S., L. Sánchez‐Peña, M., & Svyantek, M. (2021). Positionality practices and dimensions of impact on equity research: A collaborative inquiry and call to the community. Journal of Engineering Education, 110(1), 19-43.[19] Kellam, N., & Jennings, M. (2021). Uncovering Epistemologies and Values of Our Qualitative Engineering Education Research Community: Listening for Voices. Studies in Engineering Education, 2(1).[20] Slaton, A. E., & Pawley, A. L. (2018). The power and politics of engineering education research design: Saving the ‘Small N’. Engineering Studies, 10(2-3), 133-157.[21] Collins, M., Shattell, M., & Thomas, S. P. (2005
concentration in power engineering and smart grid.This research study aims to serve the national interest of enhancing power engineering educationand learning to meet the nation’s urgent needs for a highly qualified next-generation Smart Gridworkforce.To achieve a remarkable change in power engineering education, the research teamadopted the thematic analysis approach[14] to further understand the industry stakeholders’expectations for qualified power engineering graduates in different segments of the industry andto establish a harmony that allows defining a prioritized list of learning objectives that wouldguide the curriculum design of ECE programs. Hence, asking them directly to understand whatthe industry needs is better. Faculty and administrators
and what attributes high-quality narrative smoothingdemonstrate [5], [7], [17]. However, in our practice, most texts and papers lack a strongarticulation and demonstration of various ways to smooth narratives, and do not offerdescriptions of the exact procedure through which narrative smoothing occurs. We thereforehave designed this paper with two ends in mind: First, to promote the credibility and viability ofnarrative analysis for engineering education researchers, there must be greater transparencyregarding how researchers go from a raw interview transcript to a publishable narrative. Second,researchers considering using narrative analysis methods will be more equipped to employ anddefend their methodological decisions in using narrative
Paper ID #37764Is Natural Language Processing Effective in Education Research? A casestudy in student perceptions of TA supportNeha Kardam, University of Washington Neha Kardam is a third-year Ph.D. student in Electrical and Computer Engineering at the University of Washington, Seattle.Ms. Shruti Misra, University of Washington I am a graduate student in Electrical and Computer Engineering at the University of Washington, Seattle. My research interest is broadly focused on studying innovation in university-industry partnerships. I am interesting in various ways that universitiesDr. Denise Wilson, University of Washington
significant Research and Practice Implications for these themes.Dr. Javeed Kittur, University of Oklahoma Dr. Kittur is an Assistant Professor in the Gallogly College of Engineering at The University of Oklahoma. He completed his Ph.D. in Engineering Education Systems and Design program from Arizona State University, 2022. He received a bachelor’s degree in Electrical and Electronics Engineering and a Master’s in Power Systems from India in 2011 and 2014, respectively. He has worked with Tata Consultancy Services as an Assistant Systems Engineer from 2011–2012 in India. He has worked as an Assistant Professor (2014–2018) in the department of Electrical and Electronics Engineering, KLE Technological University, India
Enterprise Excellence in the Department of Computer and Information Technology with a courtesy appointment at the School of Engineering Education at Purdue University. She holds a B.E. in InformaMr. Joseph A. Lyon, Cornell University Joseph A. Lyon is a Lecturer for the College of Engineering Honors Program at Purdue University. He holds a Ph.D. in Engineering Education. His research interests are computational thinking and mathemat- ical modeling.Elsje Pienaar ©American Society for Engineering Education, 2023Evidence-based practice: ASEE Biomedical and Agricultural Engineering Undergraduate Students Programming Self-Beliefs and Changes Resulting from Computational