Paper ID #41259Pass-Fail Grading of Technical Writing in a Material Science LaboratoryProf. John R. Rogers, Benedictine College Dr. John Rogers is a member of the Benedictine College School of Engineering faculty where he teaches courses in mechanical engineering including materials engineering laboratory, mechatronics, vibrations, and design. He earned a doctorate in mechanical engineering from Rensselaer Polytechnic Institute in 2003. He has a range of engineering and teaching experience. As an ocean engineer, he developed towed systems for underwater listening, and structures that reduce ship noise. As a structural
presentations. Her research specializes in engineering education, focusing on remote laboratory evaluation. She is also passionate about exploring various technology applications to enhance engineering education.Dr. Ibrahim H. Yeter, Nanyang Technological University Ibrahim H. Yeter, Ph.D., is an Assistant Professor at the National Institute of Education (NIE) at Nanyang Technological University (NTU) in Singapore. He is an affiliated faculty member of the NTU Centre for Research and Development in Learning (CRADLE) and the NTU Institute for Science and Technology for Humanity (NISTH). He serves as the Director of the World MOON Project and holds editorial roles as Associate Editor of the IEEE Transactions on Education and
. and M.S. degrees from UC San Diego and his Ph.D. from UC Berkeley, all in chemical engineering.Dr. Jeffrey A. Nason, Oregon State University Jeff Nason is a professor of environmental engineering and associate head for graduate programs in the School of Chemical, Biological and Environmental Engineering at Oregon State University. ©American Society for Engineering Education, 2024 Discourse Moves and Engineering Epistemic Practices in a Virtual Laboratory IntroductionLaboratory activities have long held a central place in the engineering curriculum. These activities allowstudents to engage in valued disciplinary
Paper ID #42444Why are we here? A Study of Student Perspectives on Attendance in a CombinedLecture and Laboratory CourseDr. Kara Bocan, University of Pittsburgh Kara Bocan is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Pittsburgh. Her primary focus is teaching with a secondary focus on engineering education research. She completed her PhD in Electrical Engineering and her BSE in Electrical Engineering and Bioengineering, both at the University of Pittsburgh. She currently teaches courses on introductory programming, data structures and algorithms, software
Paper ID #42745Board 82: Work in Progress: Examination of Video Demonstrations as anAlternate Content-Delivery MethodMr. Kevin E Wandke, University of Illinois Urbana-Champaign Kevin Wandke received his B.S. degree in mechanical science and engineering and the M.S. degree in electrical engineering from the University of Illinois at Urbana–Champaign, in 2019 and 2022, respectively, where he is currently pursuing the Ph.D. degree in electrical and computer engineering. He was a member of the SULI Program at Argonne National Laboratory, and an Intern of the Edison Engineering Program, General Electric’s Global Research Center
wonderful and talented people at SCD’s Assessment and Research Laboratory to conduct research that informs and evaluates our practice of teaching and learning human-centered design in formal and informal learning environments. My Research focuses on studying students’ collaborative problem solving processes and the role of the teacher in facilitating these processes in STEM classrooms.Dr. Blake Everett Johnson, University of Illinois at Urbana - Champaign Dr. Blake Everett Johnson is a Teaching Assistant Professor and instructional laboratory manager in the Department of Mechanical Science and Engineering at the University of Illinois Urbana-Champaign. His research interests include experimental fluid mechanics
students' engineering self-efficacy during their first two years ofstudy? (3) What approaches are used by the faculty when implementing the model that leads todeveloping students' research skills (laboratory research skills followed by publication) – acommunity of practice, engagement with students outside the classroom, etc.? It will also developa community of practice for faculty to apply the model to other underrepresented STEMundergraduates.The project adapted the Affinity Research Group (ARG) Model, developed at the University ofTexas, El Paso, a Hispanic Serving Institution, which adapted the model to benefit thosetraditionally underrepresented students in higher education with differing abilities inundergraduate computing programs. The
undergraduateinstruction. These responsibilities can include but are not limited to lecturing, leading reviewsessions, guiding laboratory work, helping students troubleshoot, proctoring exams, engagingstudents in group discussions, organizing and leading recitation or quiz sections, and providingtechnology support. In part because of their diverse and numerous responsibilities, TAs also tendto have much more frequent interactions with students than faculty do. Particularly in large,introductory courses at the freshman and sophomore levels, this means that TAs are often morevisible to undergraduate students than faculty. In these and other similar contexts, TAs can havea strong influence on the perceived effectiveness of instruction. Yet, despite the ubiquity of
, this approachprovided additional supporting evident of meeting ABET Criterion 3 on Student Outcome #6: anability to develop and conduct appropriate experimentation, analyze, and interpret data, and useengineering judgment to draw conclusions.We intend to continue this work by expanding it to other topics students encountered difficultiesin their understanding. We also plan to explore further the ideas of letting students design theirown lab as well as projects to improve student learning in various engineering curriculum.References[1] E. G. Cantonwine, "Creating an Active Learning Environment in the Laboratory with Prepared Slides," APS Education, 2014.[2] A. A. Sewagegn and B. M. Diale, "Empowering Learners Using Active Learning in Higher
see when preferential treatment was given to white students overstudents of color in engineering spaces. Often these events made participants questionwhether or not they belonged in the spaces they occupied because they were frequentlyremoved from those spaces automatically. For instance, Luz described her experience in thebiomedical engineering laboratory as she was doing research over the summer as detrimentalto her decision to continue in engineering for graduate school. She was under the supervisionof a white Ph.D. student, and worked in the lab with another Latina student and one whitestudent. She described the preferential treatment from the Ph.D. student toward his whitementee as follows: You could just tell, like, if we asked
-- and allowing it to guide one’s behaviorThe study of this domain focuses on determining what teaching practices produce the most positiveattitudes or connections to a concept and how feelings and behaviors change throughout theprocess of learning a concept/topic. This domain is harder to study and quantify since it is moreabstract compared to the cognitive domain. Also, it can be hard to separate positive feelingstowards the information and process of learning of a concept versus positive feelings created bygenerally positive social interactions during certain activities, such as during a laboratory session.Thus, our research aims to find general trends based on students' experiences, perceptions, and/orthoughts towards engineering classes and
involve individual students working in faculty research laboratories with one-on-onementoring, typically spanning one or more semesters, although the activities and mentoringstyles may vary. Due to limited capacity, UREs are often competitive and have selection criteriasuch as grades, test scores, and previous experience or performance based in a class [19].In contrast, CUREs have a structured curriculum and are open to a broader range of students,placing higher demands on mentors to guide multiple students [18]. Duration is a critical factorin both UREs and CUREs, influencing outcomes significantly [18]. UREs and CUREs differ inselectivity, duration, setting, mentoring approaches, and associated costs. Notably, Burt andcolleagues [19] delve into
, Georgia Institute of Technology Yiming Guo is pursuing a Master of Science degree in Electrical Engineering at the Georgia Institute of Technology. He received his Bachelor of Science degree at University of California, Los Angeles. His primary interests involve machine learning and circuit design.Dr. Ying Zhang, Georgia Institute of Technology Dr. Ying Zhang is a Professor and Senior Associate Chair in the School of Electrical and Computer Engineering at Georgia Tech. She is the director of the Sensors and Intelligent Systems Laboratory at Georgia Tech. Her research interests are centered on systems-level interdisciplinary problems across multiple engineering disciplines, with AI-enabled personalized engineering
online, and in-person. The resulting data from approximately 200 consentingundergraduate mechanical engineering students in each of the synchronicity options (N > 600)showed that grades for certain lab experiences (i.e., early labs with high levels of skill-building)actually benefitted from an asynchronous online format, even above in-person offerings, while alater lab with deeper dives into specific skills produced better learning and ratings from studentswhen offered either in-person or synchronously online. The results of this investigation can benefitengineering educators, as well as those with interest in online physical labs in other disciplines.Keywords: Online Education, Laboratory Learning, Student ExperienceIntroductionSince the
[4]. This was found to better prepare students for lectureson new concepts, as well as give instructors more time to teach the new concept in class as theydid not need to review prerequisite knowledge with students [4]. Similarly, another study foundthat having more tutorials or example problems was helpful in engineering students'comprehension of math [12]. Other studies tested new e-learning practices and programs [5], [9-10]. They found that this style of learning was the best alternative during the COVID-19 pandemic;however, it also produced more confusion during certain laboratory activities [5], [10]. Recognizethat these studies were conducted before and during the pandemic, so newer studies may finddifferent results as online learning
Paper ID #41602Characterizing Teamwork Dynamics and Computational Model-Based Reasoningin Biomedical Engineering ProjectsAbasiafak Ndifreke Udosen, Purdue University Abasiafak Udosen is a professional Mechanical Engineer in Nigeria and a doctoral research scholar at ROCkETEd laboratory, Purdue University, United States. He earned a B.Eng in Mechanical Engineering and an M.Eng in Energy and Power Engineering both in Nigeria. Over the years he has had the privilege of teaching courses such as Thermodynamics, Measurement and Instrumentation, Engineering Metallurgy, System Design, and Quantitative research methods at the
. (2017). Democratizing digital learning: Theorizing the fully online learning community model. International Journal of Educational Technology in Higher Education, 14(1), 1-16.[3] Boston, W. E., & Ice, P. (2011). Assessing retention in online learning: An administrative perspective. Online Journal of Distance Learning Administration, 14(2).[4] Cochran, G. L., Boveda, M., & Prescod-Weinstein, C. (2020). Intersectionality in STEM Education Research. In Handbook of Research on STEM Education (pp. 257-266). Routledge.[5] de la Torre, L., Heradio, R., Jara, C. A., Sanchez, J., Dormido, S., Torres, F., & Candelas, F. A. (2013). Providing collaborative support to virtual and remote laboratories. IEEE Transactions on
Engineering at California Polytechnic State University, San Luis ObispoJohn Galisky, University of California, Santa BarbaraDr. Brian P. Self, California Polytechnic State University, San Luis Obispo Brian Self obtained his B.S. and M.S. degrees in Engineering Mechanics from Virginia Tech, and his Ph.D. in Bioengineering from the University of Utah. He worked in the Air Force Research Laboratories before teaching at the U.S. Air Force Academy for sev ©American Society for Engineering Education, 2024 WIP: Instructors’ Framing of their Instructional PracticeIntroductionThis WIP study stems from a larger project focused on the propagation of educationaltechnology in diverse instructional settings
modeling: applications using mplus. Chichester, UK: John Wiley & Sons, Ltd, 2012.[22] C. Payne and K. J. Crippen, “A structural model of student experiences in a career‐ forward chemistry laboratory curriculum,” J. Res. Sci. Teach., Apr. 2023, doi: 10.1002/tea.21860.
(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
Paper ID #41273Exploring Engineering Graduate Students’ Perceptions of Creativity in Academicand Research EnvironmentsAutumn R. Deitrick, Pennsylvania State University Autumn Deitrick is a graduate student in the Department of Mechanical Engineering at The Pennsylvania State University (Penn State). She is working under Dr. Catherine Berdanier in the Engineering Cognitive Research Laboratory (ECRL) studying creativity in graduate-level engineering education. She earned her B.S. in Civil Engineering from Penn State and her S.M. in Civil and Environmental Engineering from the Massachusetts Institute of Technology
Paper ID #41180Exploring the Evolution of Engineering Doctoral Students’ Academic andCareer Goals in the First Year of Graduate SchoolGabriella M. Sallai, Pennsylvania State University Gaby Sallai is currently a graduate student in the Mechanical Engineering department at Penn State. She is working under Dr. Catherine Berdanier in the Engineering Cognitive Research Laboratory (ECRL) studying the experiences of engineering graduate students. She received her Bachelor’s degree from Franklin & Marshall College in Physics and Women & Gender Studies.Catherine G. P. Berdanier, Pennsylvania State University Catherine
seems to bring the vague notion around whatis an inclusive culture down to concepts that resonate with individuals and reinforce the norms forhow we want everyone to be treated in order to maximize our satisfaction with the workplace andcollegiality with our work colleagues, all of which helps to improve productivity and creativity inlarge teams [15, 17].For example, when talking to some of our Centers’ summer research participants, we showed thepictorial representation to help communicate our expectations for how they would treat others,and how they should be treated. We made it clear to Center graduate mentors, too, and had themthink about how they could make their laboratory and research groups be more inclusive.Moreover, when talking to our
Paper ID #41205Developing Research Identity: Experiences and Influences Leading to UndergraduateStudents’ Growth as ResearchersSamantha Splendido, Pennsylvania State University Sam Splendido is a Ph.D. candidate in Mechanical Engineering at Pennsylvania State University. She is currently a graduate research assistant under Dr. Catherine Berdanier in the Engineering Cognitive Research Laboratory (ECRL). She earned her B.S. in Biomedical and Mechanical Engineering from Pennsylvania State University.Catherine G. P. Berdanier, Pennsylvania State University Catherine G.P. Berdanier is an Associate Professor of Mechanical
in curriculum & instruction from the University of Illinois Urbana-Champaign. Her research focuses on promoting teamwork in complex engineering problem solving through collaborative task design. She currently co-leads the integration of human-centered design principles within select courses across the Grainger College of Engineering.Mr. Saadeddine Shehab, University of Illinois at Urbana - Champaign I am currently the Associate Director of Assessment and Research team at the Siebel Center for Design (SCD) at the University of Illinois at Urbana-Champaign. I work with a group of wonderful and talented people at SCD’s Assessment and Research Laboratory to conduct research that informs and evaluates our practice
. 3, pp. 37-45, 2008.[9] Q. H. Mazumder and M. R. Karim, "Comparative Analysis of Learning Styles of Students of USA and Bangladesh," 119th ASEE Annual Conference, pp. 25-328, June 2012.[10] Y. Deng and I. H. Yeter, "Exploring engineering students' perspectives on hands-on, remote, and virtual laboratories use: An engagement level exploration.," in ASEE Annual Conference & Exposition, Portland, 2024.[11] F. Zurita Ortega, A. Martinez Martinez, R. Chacon Cuberos and J. L. Ubago Jiménez, "Analysis of the psychometric properties of the Motivation and Strategies of Learning Questionnaire—Short Form (MSLQ-SF) in Spanish higher education students.," Social Sciences, vol. 8, no. 5, p. 132, 2019.[12] Department of
Paper ID #42732Evaluating ChatGPT’s Efficacy in Qualitative Analysis of Engineering EducationResearchDr. Xiaorong Zhang, San Francisco State University Dr. Xiaorong Zhang is an Associate Professor in Computer Engineering in the School of Engineering at San Francisco State University (SFSU). She is the Director of the Intelligent Computing and Embedded Systems Laboratory (ICE Lab) at SFSU. She has broad research experience in human-machine interfaces, neural-controlled artificial limbs, embedded systems, and intelligent computing technologies. She is a recipient of the NSF CAREER Award to develop the next-generation
the semester? RQ 2b. To what extent do the students’ IH scores correlate with accuracy of a self- reported knowledge survey?Engineering Education ContextThis study was conducted over two semesters in a junior level undergraduate course titled“Control Systems and Instrumentation”. This is a core course in a general engineeringundergraduate program that covers a large swath of topics pertaining to electrical, computer,and control systems. In a discipline specific degree program, these topics are traditionallyspread across many courses such as Circuits, Analog Electronics, Digital Electronics, PowerSystems, Embedded Systems, and Controls, many of which often have a separate associatedlab. This is a hands-on course and laboratory
, 1971). By acquiring multiple sources of information about the sameevent occurring in a social setting, researchers can integrate and triangulate these data, enhancingthe analysis’ depth and accuracy. Therefore, in this research project, the researcher engaged inextensive first-hand observation in classroom settings throughout the semester, collectedstudents’ written responses reflecting their class, and conducted open-ended interviews designedto validate our findings with students’ perspectives. Second, investigations of instructors’ pedagogical practices in naturalistic settings, versusin a laboratory or through lab-based experiments, can yield different findings (Le Compte &Goetz, 1982). Indeed, identifying instructor’s