. Servo motor vi. Raspberry Pi 3B+Fig. 2 shows the components in detail. Camera Servo motor DC motors Ultrasonic sensor Line follower sensors (a) (b)Figure 2: Hardware components of the robot car project: (a) line follower sensors
Murzi is an Assistant Professor in the Department of Engineering Education at Virginia Tech. He holds degrees in Industrial Engineering (BS, MS), Master of Business Administration (MBA) and in Engineering Education (PhD). Homero has 15 years of international experience working in industry and academia. His research focuses on contemporary and inclusive pedagogical practices, industry-driven competency development in engineering, and understanding the barriers that Latinx and Native Americans have in engineering. Homero has been recognized as a Diggs scholar, a Graduate Academy for Teaching Excellence fellow, a Diversity scholar, a Fulbright scholar and was inducted in the Bouchet Honor Society.Dr. Natasha B. Watts
and worked as a hardware development engineer and an IT strategic planner in the industry.Dr. Senay Purzer, Purdue University-Main Campus, West Lafayette (College of Engineering) enay Purzer is an Associate Professor in the School of Engineering Education. She studies design learning in college and pre-college education. She is the editor of the Journal of Pre-College Engineering Education (JPEER) and serves on the editorial board of Science Education.Dr. LINDSEY B PAYNE, Purdue University-Main Campus, West Lafayette (College of Engineering) Dr. Lindsey Payne is a Director in the Office of Engagement at Purdue University coordinating service- learning programs and initiatives. She has a courtesy appointment in
individualcapstone project level based upon Pembridge and Paretti’s functional taxonomy [38] . Thequestions, based upon a 5 point Likert scale, were customized for the contextual setting ofcapstone and organized into five areas:1. Individual Student Interests a. My faculty advisor actively promotes my individual educational/engineering development. b. My faculty advisor adapts project guidance based upon individual student interests and capabilities.2. Technical Guidance a. My faculty advisor is engaged in and aware of the technical aspects of my project. b. My faculty advisor helped guide the team in finding relevant technical information. c. My faculty advisor provided specific technical knowledge related to
that could be reasonably incorporatedinto courses that support undergraduate students with little-to-no design experience, (b) effortsthat map to the emphasis areas for this new BME program, (c) student-learning assessmenttechniques that have proved useful in these hands-on contexts, and (d) projects that would makeinteresting recruiting examples for high school students considering such a program. The overallgoal of this work is to allow lessons learned from these earlier efforts to inform projects offeredas part of this new BME curriculum. This paper presents (1) an overview of this new curriculum,(2) the skillsets that this new BME program intentionally addresses and the courses that willsupport that skillset development, (3) BME project
: building a conceptual model of a case study of bias in biomedicalengineeringStudents were grouped into pairs and asked to write an 800-1000 word case study for aneducated but non-technical audience. By this point in time, students were familiar with basicconservation principles (mass, energy, etc.) as well as the dynamics involved in working in pairsand small groups (2-4 students). The requirements were as follows: 1. Identification of an historical incidence of bias in biomedical engineering or biomedicine 2. A description of: a. the medical need/problem that the designers were trying to solve b. the design that was developed to solve the problem 3. An analysis of how bias impacted the design, leading to shortcomings 4
A Build torso -- B Build legs -- C Connect legs B D Attach legs C, A E Build arms -- F Attach arms D, E G Attach head & mask F H Attach launcher & disk GTasks A, B, and E had no precedence requirements. Task C, G, and H only needed the precedingtask’s work to complete their own. Task D needed both Tasks A and C’s completed work andTask F needed both Task D and E’s completed work. This fact
, procedure, observed data,calculated results/graphs, and discussion and questions – the new section was structured to includespecific instructions for each segment.III. Lab Procedure and CalculationsPROCEDURES 1. Verify that the following Equipment and Materials are available: a. Riehle 60,000 in-lb. torsion testing machine and accessories b. Cylindrical A36 steel bar (approximately 32” x 1”) c. Digital caliper and yardstick to measure bar 2. Prepare the Test Bar a. Begin by measuring the test bar and recording its dimensions. Don't forget to record the accuracy of all measurements. Create the following Table to insert your data
Paper ID #30464Results of an Intro to Mechanics Course Designed to Support StudentSuccess in Physics I and Foundational Engineering CoursesProf. Gustavo B Menezes, California State University, Los Angeles Menezes is a Professor of Civil Engineering at Cal State LA. His specialization is in Environmental and Water Resources Engineering. Since becoming part of the faculty in 2009, Menezes has also focused on improving student success and has led a number of engineering education projects. He is currently the Director of the First-Year Experience program at ECST (FYrE@ECST) and coordinates engineering education activities
success in STEM through psychological stress, inter- rupted STEM career trajectories, impostor phenomenon, and other debilitating race-related trauma for Black, Indigenous, and Latinx doctoral students.Dr. Joyce B. Main, Purdue University at West Lafayette Joyce B. Main is Associate Professor of Engineering Education at Purdue University. She received an Ed.M. in Administration, Planning, and Social Policy from the Harvard Graduate School of Education, and a Ph.D. degree in Learning, Teaching, and Social Policy from Cornell University. Dr. Main examines student academic pathways and transitions to the workforce in science and engineering. She was a recipi- ent of the 2014 American Society for Engineering Education
engineering education; she has served as a Co-PI on three research projects, including one on transfer students and another on student veterans in engineering.Mr. Joseph Murphy, University of California, Los Angeles Joseph Murphy is a graduate student of Sociology at the University of California, Los Angeles whose research interests include the mobilization of college knowledge, and the role of institutional agents in promoting college access to STEM programs. He received a B.S. in Sociology from Clemson University.Dr. Joyce B. Main, Purdue University at West Lafayette Joyce B. Main is Associate Professor of Engineering Education at Purdue University. She received an Ed.M. in Administration, Planning, and Social Policy
Exposition, Conference Proceedings, 2016, vol. 2016-June, doi: 10.18260/p.26944.[6] C. M. Gray, L. De Cresce El Debs, M. Exter, and T. S. Krause, “Instructional strategies for incorporating empathy in transdisciplinary technology education,” in ASEE Annual Conference and Exposition, Conference Proceedings, 2016, vol. 2016-June.[7] J. Strobel, J. Hess, R. Pan, and C. A. Wachter Morris, “Empathy and care within engineering: qualitative perspectives from engineering faculty and practicing engineers,” Eng. Stud., vol. 5, no. 2, pp. 137–159, 2013, doi: 10.1080/19378629.2013.814136.[8] B. Wachowicz, K. Lewandowska, A. Popek, W. Karwowski, and T. Marek, “Empathy and Modern Technology: A Neuroergonomics Perspective
, Purdue University-Main Campus, West Lafayette (College of Engineering) enay Purzer is an Associate Professor in the School of Engineering Education.Dr. LINDSEY B PAYNE, Purdue University-Main Campus, West Lafayette (College of Engineering) Dr. Lindsey Payne is a Director in the Office of Engagement at Purdue University coordinating service- learning programs and initiatives. She has a courtesy appointment in Environmental and Ecological En- gineering where she teaches a service-learning course in which interdisciplinary teams of students collab- oratively identify stormwater management problems, co-design solutions, maintain budgets, and evaluate impacts with community partners. Dr. Payne’s research sits at the
of instructional principles and assessments in STEM. He is currently a Senior Associate Editor of the Journal of Engineering Education.Dr. Prashanta Dutta, Washington State University Prof. Prashanta Dutta has received his PhD degree in Mechanical Engineering from the Texas A&M University in 2001. Since then he has been working as an Assistant Professor at the School of Mechanical and Materials Engineering at Washington State University. He was promoted to the rank of Associate and Full Professor in 2007 and 2013, respectively. Prof. Dutta is an elected Fellow of the American Society of Mechanical Engineers (ASME). He current serves as an Editor for the Electrophoresis.David B. Thiessen, Washington State
degrees (𝑝 − 𝑣𝑎𝑙𝑠 < 2.2 × 10−16 ). In general, the datain Figure 1 helps us conclude that strategies aimed at increasing female participation inengineering might be working, but at a slow pace. |𝒙 −𝒙𝟐 | 𝑷𝒆𝒓𝒄𝒆𝒏𝒕𝒂𝒈𝒆 𝒅𝒊𝒇𝒇𝒆𝒓𝒆𝒏𝒄𝒆 = 𝟏𝟎𝟎 × 𝟎.𝟓(𝒙𝟏 Equation 1 𝟏 +𝒙𝟐 )Figure 1. Proportion of degrees earned, and tenure-track positions filled.Data source: (1) Roy, J., Yoder, B. “Engineering by the Numbers,” ASEE, 2017-2018.Figure 2 shows the type of academic positions filled by females. Unfortunately, this graph showsthe phenomenon known as “leak in the pipeline.” There is
Roy, West Virginia University Abhik Roy is a professor educational psychology in the Department of Learning Sciences & Human Development (https://lshd.wvu.edu/) within the College of Education & Human Services at West Virginia University. Dr. Roy holds a Ph.D. in Program Evaluation with expertise in data science, visualization, and social network analysis and is an evaluator on multiple federal grants spanning both the National Science Foundation and the National Institutes of Health. He currently conducts research in (a) the use of machine learning to evaluate programs, (b) using predictive networks to assess change, and (c) deep learning architectures for text classification
Paper ID #29752WIP: Exploring an Engineering Faculty’s Intention Toward InclusiveTeachingMemoria Matters, Purdue University at West Lafayette Memoria Matters is a PhD student in the School of Engineering Education at Purdue University. She is also pursuing a Master’s degree at the School of Electrical and Computer Engineering for computer engineering, in which she obtained her BSE from the University of Pennsylvania. Her research interest is in increasing the diversity of engineering by improving the inclusivity of engineering higher education through teaching methods, policies, and culture change.Dr. Carla B. Zoltowski
impact might be captured longitudinally over the twelve-month period following theworkshop.References[1] J. A. Koenig, “Assessing 21st Century Skills: Summary of a Workshop,” 2015. [Online]. Available: https://www.learntechlib.org/p/159080/. [Accessed January 21, 2020].[2] V. Byrd, “Introducing Data Visualization: A Hands-on Approach for Undergraduates,” in Proceedings of E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, Las Vegas, NV, USA, November 4-7, 2018, Association for the Advancement of Computing in Education (AACE), pp. 730-73, 2018.[3] B. T. Ladd, “The Information Frontiers Program: Expanding Student Capacity for Crossing Domain and Institutional Borders,” in
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data from likely perpetrators of microaggressions in engineering education settings.A TALE OF TWO UNIVERSITIES ReferencesAlbritton, T. J. (2012). Educating our own: The historical legacy of HBCUs and their relevance for educating a new generation of leaders. The Urban Review, 44(3), 311-331.Camecho, M.M., & Lord, S.M. (2011). “Microaggressions” in engineering education: Climate for Asian, Latina, and White women. ASEE/IEEE Frontiers in Education Conference, October 12-15, 2011, Rapid City, SD.Casad, B., Petzel, Z., & Ingalls, E. (2019). A model of threatening academic environments predicts women stem majors’ self-esteem and engagement in stem. Sex Roles: A
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, etc.) ratio can also be a way to make sure all students in thiscourse are equally exposed to the technology and engineering topics.References[1] P. Plaza, E. Sancristobal, G. Carro, M. Blazquez, F. García-Loro, S. Martin, C. Perez, and M. Castro, “Arduino as an educational tool to introduce robotics,” in 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE), Dec 2018, pp. 1–8.[2] Z. Pei and Y. Nie, “Educational robots: Classification, characteristics, application areas and problems,” in 2018 Seventh International Conference of Educational Innovation through Technology (EITT), Dec 2018, pp. 57–62.[3] M. Petre and B. Price, “Using robotics to motivate ‘back door
]. http://K-12inventure.gatech.edu/lessonplans, [accessed 2019 Nov 1].7. S. H. Newton, M. Alemdar, R. A. Moore, and C. J. Cappelli, “An investigation of students' experiences in a K-12 invention program (Evaluation),” In Proceedings of the 2018 ASEE Annual Conference & Exposition, Salt Lake City, UT, USA, June 23-27, 2018, https://peer.asee.org/29796, 2018.8. M. Alemdar, J. Gale, J. Lingle, S. Newton, R. Moore, J. Rosen, and M. Usselman, “Students’ perceptions of middle school STEM innovation and design course,” in Proceedings of the ASEE 2017 Annual Conference, Columbus, OH, USA, June 24-28, 2017, https://peer.asee.org/28870, 2017.9. M. Usselman, M. Ryan, J. H. Rosen, F. Stillwell, N. F. Robinson III, B. D. Gane, and S
areas that you would choose to test your solution on.You are tasked with the development of an initial design of a solution to this challenge,including: A) An annotated drawing and description of the design that will be used for achieving gum removal B) A plan for testing this method in select locations to prove it works in all anticipated conditions C) An operations procedure and schedule to be followed to implement this solution twice a year D) A list of materials needed. E) Methodology for construction.Figure 1. Ill-structured problem used for the studyData Analysis Verbal protocols (i.e. recordings of participants verbalizing) were transcribed for dataanalysis. Each transcript was coded
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designed for dc fastcharging applications. GE mainly designed the SST model for substation applications with the Port 2 Cell 2 Port 3 Port 1 Cell N Port N (a) (b) Cell 2 Cell N (c) (d) Figure 2: SST topologies (a) UNIFLEX (b) EPRI (c) ABB (d) GE [49].h-bridge converter structure. ABB uses a cascaded
Sponsored Research unit and the Comptroller’s office for the internal processing of your grant proposal.References 1. 2018 data showing percentages of employment in the transportation and utilities industry for all races in the US [US Bureau of Labor Statistics, 2018] 2. Valla, J. M. & Williams, W. M. (2012). Increasing achievement and higher-education representation of under-represented groups in science, technology, engineering, and mathematics: a review of current K-12 intervention programs. Journal of women and minorities in science and engineering, 18 (1). 3. Richardson, G., Hammrich, P. L., and Livingston, B., Improving elementary school girls’ attitudes, perceptions, and achievements in