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
Paper ID #37769The development of an artificial intelligence classifier to automateassessment in large class settings: Preliminary resultsProf. Euan Lindsay, Aalborg University Euan Lindsay is Professor of PBL and Digitalisation in Engineering Education at Aalborg University. His focus is the use of technology to flexibly support providing authentic learning experiences for stu- dent engineers. He is best known for his work as Foundation Professor of Engineering at Charles Sturt University.Mohammad Naser Sabet Jahromi, Visual Analysis of People Laboratory (VAP), Aalborg University Mohammad Sabet earned his Ph.D. in Signal
Paper ID #38108Work in Progress: Re-Interpreting Engineering Laboratory LiteratureThrough the Lens of Cognitive LoadGregory Wickham, Harvey Mudd CollegeMatthew Spencer, Harvey Mudd College Matthew Spencer is an associate professor of engineering at Harvey Mudd College. His research interests include hands-on learning, MEMS, ultrasound imaging and circuit design. ©American Society for Engineering Education, 2023 Re-interpreting Engineering Laboratory Literature Through the Lens of Cognitive LoadAbstract -- This WIP theory paper argues laboratory and engineering project classes
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 #37885Enhancing Undergraduate Materials Science Labs for Experiential LearningMr. Mackinley Love, University of Calgary Mackinley Love is a Master of Science candidate at the University of Calgary in the Department of Mechanical and Manufacturing Engineering. He completed his Bachelor of Applied Science in the same department in 2021. His thesis topic and interests lie in the investigation of educational scholarship and its links with undergraduate engineering laboratories. He is also the president of the Engineering Education Scholarship Society (E2S2) for 2022-2023, the graduate student club that promotes
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
. Her research interests center on interdisciplinary learning and teaching, technology-integrated STEM teaching practices, and assessment development and validation in STEM education.Dr. Daniel S. Puperi, The University of Texas at Austin Daniel is an assistant professor of instruction in the Department of Biomedical Engineering at the Uni- versity of Texas at Austin. Dan received a BS in aerospace engineering from Purdue University and then worked at NASA Johnson Space Center for 15 years before pursuing a PhD in Bioengineering from Rice University. In 2016, Dan graduated from Rice and began teaching four design/laboratory courses required for all undergraduate BME students at UT Austin.Thomas E. Lindsay, The University
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
live and video recorded). This paper describes a new classroom observationprotocol intended to monitor the focus (e.g., solo, pair, team, or whole class) and action (e.g.,discuss, speak/present, watch/listen, or distracted) of both students and teachers (instructors).The paper summarizes relevant background on evidence-based learning, student engagement,and classroom observation protocols, describes the development and structure of FASTOP,presents results from different pedagogies (e.g., lecture, laboratory, POGIL), and describeslessons learned and future directions. Results show distinctive patterns of student and teacherbehaviors for different pedagogies.1. IntroductionThe ICAP model describes the benefits of interactive (I), constructive (C
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
-school outreachprogram in engineering design for middle school students (ages 11-14), and how instructorsviewed the successes, challenges, and tensions of their students’ laboratory experiences. A challenge associated with NGSS and ASEE implementation is the meaningful integrationof science and engineering knowledge and skills in precollege teaching and learning. Researchhas identified issues that science teachers encounter with integrated STEM instruction, includinglack of relevant content knowledge, lack of administrative support, and weak self-efficacy inengineering pedagogy [4,10,11]. Research in STEM integration education has suggested thatinnovative instructional models and curricular resources are needed to demonstrate how scienceand
, 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
providing funding, other instances include donating technology like laboratoryequipment, providing laboratory space, and sponsoring research talks within the industry. In all of these instances of literature, discussions of industry involvement focus more onthe involvement in discipline-specific courses research, such as providing data solar data for anengineering course [7], and less on industry involvement in engineering education research.Additionally, obstacles in the industry-academia relationship have focused more on the academicside, especially on the expectations from academia, and ways to make such relationships morebeneficial for both parties [10]. The intent of our research in progress aims to address the gap in
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
methods to promote a culture of laboratory safety [10].Some gamification platforms to gamify classroom activities such as quizzes and surveys havealso become popular; a good example is Kahoot.In addition to gamifying individual learning activities, researchers have also been working onenhancing gamification theories in education. Denny examined the effect of virtual achievementson student engagements in his study [11] and discovered significant positive effect. Inchamnan etal. discussed gamification workflow for growth mindset processes [12]. Su evaluated thecognitive load and possible learning anxiety caused by gamification in education [13]. As part ofthe European Horizon 2020 project NEWTON, an innovative NEWTON-enhanced gamificationmodel was
] V. Svihla, S. Wettstein, J. Brown, E. Chi, and M. Wilson-Fetrow, “Consequential Agency in Chemical Engineering Laboratory Courses,” presented at the 2022 ASEE Annual Conference & Exposition, Aug. 2022. Accessed: Dec. 13, 2022. [Online]. Available: https://peer.asee.org/consequential-agency-in-chemical-engineering-laboratory-courses[23] D. H. Jonassen, “Toward a Design Theory of Problem Solving,” Educ. Technol. Res. Dev., vol. 48, no. 4, pp. 63–85, 2000, doi: https://doi.org/10.1007/BF02300500.[24] K. Dorst and N. Cross, “Creativity in the design process: co-evolution of problem– solution,” Des. Stud., vol. 22, no. 5, pp. 425–437, Sep. 2001, doi: 10.1016/S0142- 694X(01)00009-6.[25] A. Morozov, D
[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
, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics.” [31]Topic 4 focused on students’ need for TAs to provide effective laboratory support. Effectiveteaching through the lab experience is a theme related to active learning in engineeringeducation. The experiential activities provided by engineering labs are critical to the transfer oflearning from the classroom to the real-world.Agreement (and disagreement) between automated NLP-based coding of student responses andmanual (human) coding of these responses according to the topics and themes in Table 2 arepresented in Table 3 for data seen during the development of the NLP model (i.e., the trainingset) and data not seen during model
did undergraduate students face during a research course, and how did they overcome these challenges to successfully complete their project? Sub-Question 3 (Self-Reflection): What impact did the research course have on undergraduate students' skills and knowledge and interest in research?3. BackgroundVarious efforts have been made to effectively organize and manage undergraduate researchprograms (URPs). One of the efforts, as suggested by Weldon and Reyna [5] and Thornton et al.[6], is to design a lab manual that outlines clear expectations for undergraduate researchers in thelab to help with a smooth transition for new students so that faculty mentors do not have toreinvent the wheel each time a new student joins the laboratory
delivering such information. 5.1.3 | Need for improving hands-on experiences of studentsHands-on experiences were considered to be an important part of college life. They were perceivedto contribute to better MHW as they provided students to see the practical real-world applicationsof their courses. Students wanted improvement in the laboratory like providing more state-of-the-art laboratory equipment. The study participants were of the view that they should be able toengage in research work to gain practical hands-on experiences. For example, one of theparticipants said the following. “The college of engineering should have more research opportunities available for students in professors’ labs. There might be many such opportunities available
. 6. Nolte, H., Huff, J., & McComb, C. (2022). No time for that? An investigation of mindfulness and stress in first-year engineering design. 7. Tellez-Bohorquez, F., & Gonzalez-Tobon, J. (2019). Empathic Design as a Framework for Creating Meaningful Experiences.Cognition, Psychology 1. Alzayed, M. A., Miller, S. R., & McComb, C. (2021). Empathic creativity: Can trait empathy predict creative concept generation and selection? 2. Bellinger, D. B., DeCaro, M. S., & Ralston, P. A. S. (2015). Mindfulness, anxiety, and high-stakes mathematics performance in the laboratory and classroom. 3. Berenguer, J. (2007). The Effect of Empathy in Proenvironmental Attitudes and Behaviors 4
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