application and testbench.4. Assessment Methods and ResultsFor assessment, students were surveyed over the recent four offerings of this course to capture theirperspectives and opinions on the impact of the new components on their learning. The very first twoofferings of the revamped course were during Fall 2020 and Spring 2021, during the COVID-19pandemic, and were delivered remotely. In Spring and Fall of 2022, a more comprehensive assessmentof the impact and effectiveness of the HLS instruction was conducted. (a) (b)Figure 5: Example image processed by a student’s FPGA implementation. (a) shows the test image [11] and (b) shows the convoluted image after
STEM.Dr. Sheryl A. Sorby, University of Cincinnati Dr. Sheryl Sorby is currently a Professor of STEM Education at the University of Cincinnati and was recently a Fulbright Scholar at the Dublin Institute of Technology in Dublin, Ireland. She is a professor emerita of Mechanical Engineering-Engineering MecDr. Clodagh Reid, Technological University of the Shannon: Midlands Midwest PhD in spatial ability and problem solving in engineering education from Technological University of the Shannon: Midlands Midwest. Graduated in 2017 from the University of Limerick with a B. Tech (Ed.). Member of Technology Education Research Group (TERG). ©American Society for Engineering Education, 2023Exploring the
obtainedprior to data collection and analysis.The methodological approach is outlined through the following three study phases: (1) BeliefsInterviews, (2) Contextual Intervention, and (3) Reconciliation Interviews (Fig. 1). The interviewprotocols for phase 1 and phase 3 can be found in Appendix A and Appendix B, respectively. Fig. 1. Research Design Visualization (adapted from [34])Phase 1: Beliefs InterviewsThe first phase of this study involved conducting semi-structured interviews with students todetermine their espoused beliefs when it comes to making process safety judgements. Theinterview was broken into two main sections: (1) students ranked the six criteria from theconceptual framework according to their beliefs about making
process involved removing (a) duplicates (the same award number reappearing in newterm searches); (b) transfer grants (a “replacement” grant with a different award number due to the PIchanging institutions); and (c) collaborative awards with multiple instances (awards with same title andabstract beyond the first instance; in those cases, information about collaborating investigators,institutions, and budgets was preserved for subsequent analyses).2.2 Developing the Coding SchemeOur process to develop a coding scheme was iterative, guided by an evolving goal: to create a set ofcategories that would differentiate the centrality of LGBTQ+ populations and their experiences as thefocus of the awards. The process began by analyzing a group of active
Health Distress and Help-Seeking Behaviors Among Engineering Students," in American Society for Engineering Education Annual Conference, 2021.[8] S. K. Lipson, S. Zhou, B. Wagner, K. Beck, and D. Eisenberg, "Major Differences: Variations in Undergraduate and Graduate Student Mental Health and Treatment Utilization Across Academic Disciplines," Journal of College Student Psychotherapy, vol. 30, no. 1, pp. 23-41, 2016/01/02 2016, doi: 10.1080/87568225.2016.1105657.[9] A. Danowitz and K. Beddoes, "Mental Health in Engineering Education: Identifying Population and Intersectional Variation," IEEE Transactions on Education, vol. 65, no. 3, pp. 257-266, 2022.[10] K. Jensen, E. Johnson, J. Mirabelli, and
Effectiveness a. Motivation for establishing program (gaps: DEI, retention, workplace readiness) b. Major decisions (programs/courses, major/minor/concentration/certificate) c. Experiential learning (learning through experience in realistic settings) vs. intellectual foundations in lectures and readings d. Learning from people who have been successful in non-academic contexts e. Assessing effectiveness/outcomes f. Fitting into engineering (constraints: crowding, integration, funding; evolution over time) 2. Individual Capabilities a. Traits (Possessed by Individuals) i. Ethical sensitivity ii. Tolerance for ambiguity/uncertainty; agility
Paper ID #39798Exploring Additive Manufacturing in a Space Environment - A CapstoneDesign Project ExperienceZain Zafar KhanZachary Alan SobelmanDr. Sharanabasaweshwara Asundi, Old Dominion University Sharanabasaweshwara Asundi, Ph.D., an Assistant Professor in the Department of Mechanical and Aerospace Engineering at Old Dominion University (ODU), is an expert in space systems engineering and has en- gaged in the design, development of several space systems, facilities, including an amateur radio ground station and two magnet coil test facilities. He is a Federal Communications Commission licensed amateur radio operator. He is
Paper ID #39794Is Poor Classroom Attendance a Virtual-Learning Hangover or the NewNormal? A Qualitative StudyDr. Matthew Cooper, North Carolina State University, Raleigh Dr. Matthew Cooper is an Associate Teaching Professor in the Department of Chemical and Biomolecular Engineering at North Carolina State University. He served as a researcher at RTI International before joining the NC State faculty in 2011. Dr. Cooper’s research interests include effective teaching, process safety decision-making skills, and best practices for online education. He also hosts the In The (Fume) Hood chemical engineering education podcast.E
successful, but there are improvements we plan to make. In the next improved iteration ofthe ERSP course, we will change the grading structure (previously graded on a grade A, B, C, Dscale) to one of Satisfactory/Unsatisfactory. Given that the course is only a 1-credit hour course,the pressure of obtaining an A can overshadow the ERSP experience as we have anecdotallyexperienced with some students in the past two cohorts. In the next two years, we plan to focus oninstitutionalization of the program in the CS and ECE departments. We also strive to utilize ERSPas a recruitment tool for minoritized students in CS and ECE by promoting the program throughstudent professional organizations such as SWE, NSBE, SHPE, WICS. We also plan to pay moreattention
., 2022, doi: 10.1002/jee.20456.[17] E. A. Mosyjowski, S. R. Daly, D. L. Peters, S. J. Skerlos, and A. B. Baker, “Engineering PhD Returners and Direct‐Pathway Students: Comparing Expectancy, Value, and Cost,” J. Eng. Educ., vol. 106, no. 4, pp. 639–676, Oct. 2017, doi: 10.1002/jee.20182.[18] A. Olewnik, Y. Chang, and M. Su, “Co-curricular engagement among engineering undergrads: do they have the time and motivation?,” Int. J. STEM Educ., vol. 10, no. 1, p. 27, Apr. 2023, doi: 10.1186/s40594-023-00410-1.[19] J. S. Eccles and A. Wigfield, “From expectancy-value theory to situated expectancy-value theory: A developmental, social cognitive, and sociocultural perspective on motivation.,” Contemp. Educ
able to accomplish on their own or will pose a significantchallenge. As students acquire specific knowledge and skills, those supports are eventuallyremoved as they can apply the learning skills independently.In the context of engineering education practice, providing students with scaffolding is highlyrecommended when the faculty is not available to provide help (i.e. while solving a homeworkassignment or projects outside of the classroom). Specifically, in the context of computationalassignments, scaffolding methods can involve (a) short video lectures explaining difficultconcepts, (b) worked-out examples demonstrating and explaining difficult calculations orimplementations of a particular function, (c) templates of code that can get
photovoice project. Given the exploratory nature of thisstudy, the researchers decided against applying a theoretical framework to the investigation.A. LocationThis study occurred during the spring 2022 semester at UF, a large, public PWI in the southeasternUnited States. Of the over 40,000 students enrolled at the institution in the fall 2021 semester, only5.36% identified as Black/African American, while 51.73% identified as white [18].B. ParticipantsAs of the fall 2021 semester, this university’s College of Engineering had over 9,800 students(including graduate students), with approximately 6% representing Black/African Americanundergraduate students [3]. The study’s original recruitment goal was to have at least 20sophomore or senior engineering
engineering and physical computing; observe andinvestigate the processes of learning in the relevant contexts; understand the influence of intergenerationallearning on STEM culture, knowledge, and enthusiasm; and, determine how physical artifact creation andplace-based XR experiences contribute to social-emotional learning. Besides the main researchobjectives, the technological framework of the AR quilt application can serve as inspiration for othersocial-emotional learning tools utilizing XR technologies, or be directly modified to display other visualaudio experiences in a similar manner. The final application will be made publicly available and open formodification. References[1] G. Nugent, B
College of Engineering and Computer Science at the University of Texas Rio Grande Valley (UTRGVLaura SaenzDr. Liyu Zhang, The University of Texas, Rio Grande Valley Liyu Zhang is an Associate Professor in the Department of Computer Science Department of Computer Science at the University of Texas Rio Grande Valley. He received his Ph. D. in Computer Science from the State University of New York at Buffalo in Septemb ©American Society for Engineering Education, 2023 A Bridged Cyber Security Curriculum with Embedded Stackable CredentialsAbstract— Supported by a federal grant, The University of Texas Rio Grande Valley (UTRGV)streamlined the Bachelor of Science
Paper ID #38749Transforming Engineering Economy into a Two-Credit CourseDr. Kate D. Abel, Stevens Institute of Technology (School of Engineering and Science) Kate Abel is the Director of the Undergraduate Engineering Management (EM) and the Industrial and Systems Engineering (ISE) Programs at the School of Systems and Enterprises. She holds a Ph.D. in Technology Management and Applied Psychology. She is a Fellow in ASEM. She has held several pro- fessional service positions including President (2006) and Program Chair (2005) of the Engineering Man- agement Division of the American Society for Engineering Education and
Paper ID #38152Gamification Applied to a Microprocessor Systems Laboratory ActivityIng. Luis Felipe Zapata Rivera, Embry-Riddle Aeronautical University Luis Felipe Zapata-Rivera, Ph.D. is an assistant professor at Embry-Riddle Aeronautical University. His research interest are in Online Laboratories and Microprocessors. ©American Society for Engineering Education, 2023 Gamification Applied to a Microprocessor Systems Laboratory Activity Luis Felipe Zapata-Rivera, Ph.D. Assistant Professor, Department of Computer, Electrical and Software Engineering
Paper ID #36723KarmaCollab: A Communication Platform For Collaborative LearningDamitu Robinson, University of California, DavisMr. Nicholas Hosein Nicholas is a PhD candidate at the University of California Davis with a background in computer ar- chitecture, algorithms and machine learning. His current focus is advancing the electrical engineering curriculum at UC Davis to be more industry relevant inProf. Andre Knoesen, University of California, Davis Andre Knoesen received his Ph.D. degree from the Georgia Institute of Technology, Atlanta, in 1987. He is currently a Professor in the Department of Electrical Engineering
Paper ID #39007Efficiency Analysis of a Hybrid Solar System DesignRyan Thomas FlynnCaleb HoldridgeAlexandra MurphyMs. Jacquelyn Autumn Carter Undergraduate electrical engineering student at the United States Coast Guard Academy.Sarah SchollenbergerProf. Tooran Emami Ph.D., United States Coast Guard Academy Tooran Emami is a tenured associate professor of Electrical Engineering in the Department of Electrical Engineering and Computing at the U. S. Coast Guard Academy (USCGA). Her research interests are control and power systems, particularly Proportional Integral Derivative (PID) controller design, robust control, time delay
Paper ID #39126Building a Statewide Experiential Learning Portfolio in CybersecurityDr. Luiz A. DaSilva, Virginia Polytechnic Institute and State University Luiz A. DaSilva is the inaugural executive director of the Commonwealth Cyber Initiative (CCI). He is internationally recognized for leadership and innovation in wireless communications and networks research. His 24 years of experience in academia include 18 years as a professor at Virginia Tech, where he is currently the Bradley Professor of Cybersecurity in the Department of Electrical and Computer Engineering. His most recent position prior to CCI was as the
Paper ID #38426Building a Communication-Integrated Curriculum in Materials ScienceDr. Jennifer C. Mallette, Boise State University An Associate Professor at Boise State University, Dr. Jenn Mallette teaches technical communication at the undergraduate and graduate level. She also collaborates with faculty in engineering to support student writers. Her research focuses on using writing to improve the experiences of underrepresented students.Harold Ackler P.E., Boise State University Dr. Harold Ackler is a Clinical Assistant Professor in the Micron School of Materials Science and En- gineering at Boise State University. He
Paper ID #37779Towards a Transformative Collaboration: Technical Writing, Engineering,IndustryDr. Naqaa Abbas, Texas A&M University, Qatar Dr. Naqaa Abbas is Instructional Assistant Professor at Texas A&M University Qatar. She teaches first year English writing and technical communication courses. Dr. Mary Queen is Instructional Assistant Professor at Texas A&M University Qatar. She teaches first year English writing and technical commu- nication courses. Dr. Reza Tafreshi is a Professor at Texas A&M University Qatar. He teaches in the program of Mechanical Engineering. Dr. Patrick Linke is Program Chair and
.[6] M. Elmore, "A Systems Engineering Approach to Conceptual Design in a 1st-Year Engineering Program," in First-Year Engineering Experience Conference, State College, PA, 2019.[7] B. Read-Daily and J. C. Batista Abreu, "Energy-Efficiency Assessment of Windows using Temperature Sensors," in First-Year Engineering Experience Conference, State College, PA, 2019.[8] S. C. Ritter and S. G. Bilén, "EDSGN 100: A first-year cornerstone engineering design course," in First-Year Engineering Experience Conference, State College, PA, 2019.
, "Automated lithology classification from drill core images using convolutional neural networks," Journal of Petroleum Science and Engineering, vol. 197, 2021.[3] M. Liu and T. Mukerji, "Digital transformation in rock physics: Deep learning and data fusion," The Leading Edge, vol. 41, pp. 591-598, 2022.[4] S. Sattarin, T. Muther, A. K. Dahaghi, S. Negahban and B. Bell, "GeoPixAI: From Pixels to Intelligent, Unbiased and Automated Fast Track Subsurface Characterization," in 2021 IEEE International Conference on Imaging Systems and Techniques (IST), Kaohsiung, Taiwan, 2021.[5] J. K. Ali, "Neural Networks: A New Tool for the Petroleum Industry?," in European Petroleum Computer Conference, Aberdeen, United Kingdom, 1994.[6] S
Confidence at the Intersection of Race/Ethnicity and Gender,” Res. High. Educ., vol. 55, no. 8, pp. 810–832, Dec. 2014, doi: 10.1007/s11162-014-9333-z.[8] T. J. Weston, “Patterns of Switching and Relocation,” in Talking about Leaving Revisited, E. Seymour and A.-B. Hunter, Eds. Cham: Springer International Publishing, 2019, pp. 55–85. doi: 10.1007/978-3-030-25304-2_2.[9] M. M. Camacho and S. M. Lord, “"Microaggressions" in engineering education: Climate for Asian, Latina and White women,” in 2011 Frontiers in Education Conference (FIE), Rapid City, SD, USA, Oct. 2011, pp. S3H-1-S3H-6. doi: 10.1109/FIE.2011.6142970.[10] V. Ray, “A Theory of Racialized Organizations,” Am. Sociol. Rev., vol. 84, no. 1, pp. 26– 53, Feb. 2019, doi
actions of the virtualexperiment.References:[1] K. Achuthan, D. Raghavan, B. Shankar, S. P. Francis, S. P., and V. K. Kolil, “Impact ofremote experimentation, interactivity and platform effectiveness on laboratory learningoutcomes,” International journal of educational technology in higher education, 18(1), 38, 2021.[2] D. A. H. Samuelsen and O. H. Graven, “Remote laboratories in engineering education - anoverview of implementation and feasibility,” Engineering Innovations for Global Sustainability:Proceedings of the 14th Latin American and Caribbean Conference for Engineering andTechnology, San Jose, Costa Rica, July 20-22, 2016.[3] L. F. Rivera and M. M. Larrondo-Petrie, “Models of remote laboratories and collaborativeroles for learning
Paper ID #37638A Method for Deducing the Self-Diffusion Coefficient of a Single AnalogMolecule within a Liquid-State FlowMr. Philip Troy Brown, University of North Carolina, Charlotte Philip Brown is a mechanical engineer conducting research in the field of molecular hydrodynamics at the University of North Carolina at Charlotte, where he also serves as the President of the Society of Student Veterans in Engineering (SSVE) and the assistant program manager for the Shaping Experimental Research for Veteran Education (SERVE) STEM engagement program. Prior to beginning this research, he spent 6 years in the United States Navy
Paper ID #40082Board 115: LESSONS LEARNED: A 360 Degree Review of Faculty Develop-mentResourcesDr. Randy McDonald, Texas A&M University Dr. Randy McDonald is the Director of Learning Design and Distance Education for the College of En- gineering at Texas A&M University where he leads a design team in the development of online programs for academic and workforce education. Prior to coming to Texas A&M, Randy worked at Stephen F. Austin State University for twenty-five years in a variety of roles including tenured faculty member in the College of Education, director of instructional technology and distance
Paper ID #39783What If They Choose: Surfacing Insights Associated with a Pedagogy forDoctoral EducationDr. Jennifer A. Turns, University of Washington Dr. Jennifer Turns is a full professor in the Human Centered Design & Engineering Department in the College of Engineering at the University of Washington. Engineering education is her primary area of scholarship, and has been throughout her career. In her work, she currently focuses on the role of reflection in engineering student learning and the relationship of research and practice in engineering education. In recent years, she has been the co-director of the
Paper ID #39942Organizational Barriers to Conducting Engineering Education Research inEducation-adjacent IndustriesDr. Nikitha Sambamurthy, zyBooks, A Wiley Brand Nikitha Sambamurthy is the Editorial Director at zyBooks, at Wiley Brand. She completed her Ph.D. in engineering education at Purdue University, and has since been dedicated to bridging engineering education research and engineering education industry. ©American Society for Engineering Education, 2023 Organizational Barriers to Conducting Engineering Education Research in Education-adjacent IndustriesAbstractEngineering
Paper ID #37790Rock, Paper, Scissors, Code! Laying a Foundation for Writing Algorithms(Resource Exchange)Rachelle Pedersen, Texas A&M University Rachelle Pedersen is a Ph.D. student at Texas A&M studying Curriculum & Instruction (Emphasis in En- gineering & Science Education). She has a M.S. in Curriculum & Instruction from Texas A&M University and a B.S. in Engineering Science (Technology Education) from Colorado State University. Her research focuses on motivation and social influences (e.g. mentoring and identity development) that support un- derrepresented students in STEM fields. Prior to