), engineering education has seen a shift to the importance of design andproblem solving. The approach has been to educate by specific engineering field [24].Largely, students have relied on internships and coop programs to gain experience in the field.Capstone design projects with external clients are also common in engineering curricula,providing students opportunities to work on real problems with external clients. It is verycommon for students to reflect on these experiences highlighting a greater sense of clarity aboutengineering and its application. Indeed, when asked about their favorite or most impactfulexperience at the time of graduation, it is common that students highlight internship, coop andcapstone design experiences. Outside of capstone
Minnesota. He has co-written eight books including Cooperative learning: Increasing college faculty instructional productivity; Strategies for energizing large classes: From small groups to learning communities; and Teamwork and project management, 3rd Ed. Page 12.1162.1© American Society for Engineering Education, 2007 Portraying the Academic Experiences of Students in Engineering: Students’ Perceptions of their Educational Experiences and Career Aspirations in Engineering.AbstractUnderstanding better the experiences of students pursuing an engineering degree is an importantissue for the
resolved) they mightconfront in the field, and incorporate a laboratory component enabling students to collect theirown data as part of the solution process when resolving the posed problem. What follows areMEA descriptions developed, implemented, and tested as part of this project. Additional detailon designing MEAs may be found in Zawojewski, et. al, Chapter 2 [5]. These are organized ac-cording to suggested areas, but in almost all cases they may be adapted for use with general en-gineering students. This is especially true of the number of industrial engineering focused MEAsthat have been designed for Engineering Statics 1 or 2, or for Engineering Economy. Commentshave been provided concerning their testing and student reaction
fast and comparable (in terms of rate ofproduction of QRNs) to other existing QRNGs [6-8] since we need a large number of uniformlydistributed random numbers for real-world applications. It may not be impossible to produce anideal QRNG probably after very complicated computations needing unacceptable time toproduce each QRN. Such a production, if possible, may not be usable/acceptable in practicalapplications in a meaningful way. Several methods have been developed by Halton [9], Sobol [10], Faure[11], and Niederreiter[12] for generating QR sequences for real-world applications. Fox [13] compared the efficiencyof Halton and Faure QRNGs and a linear congruential PRNG. Bratley et al. [14] included SobolQRNG in this comparison. QR sequences
University of Newfoundland, graduating with distinction in 2013 with specializing in structural vibrations. Following completion of his PhD, he conducted an Industrial Post-doctoral Fellowship at Subsurface Imaging Technology on the feasibility study of excavating salt caverns in Newfoundland. In 2014, he joined Project neuroArm at the University of Calgary as a Post-doctoral Scholar, where he worked on four biomedical engineering research projects. He lectured as a Sessional Faculty at Memorial University in 2013 and at the University of Calgary in 2015 and 2016 before joining the Department of Mechanical Engineering at the University of Calgary as an Instructor. Dr. Ghasemloonia teaches courses in the areas of applied
praise and criticism (Gardner, Kolb, and others). The Felder-Solomon index of learning styles (ILS) captures learning preferences [5] on four subscales, andeach of the subscales represents one learning dimension: Sensing-Intuitive, Visual-Verbal,Active-Reflective and Sequential-Global. The ILS has been used widely in studying the effectsof learning styles on various outcomes. Zywno and Waalen[6] used the ILS in a study exploringhow differences in learning styles affected learning outcomes when students receivedhypermedia instruction in electrical engineering. In another instance, the ILS was used in a studyby Paterson[7] regarding environmental engineering undergraduate students’ response towardsthe introduction of internet based learning tools
Paper ID #37136Overrepresented Not-Marginalized: Unpacking the Racialization ofAsians and Asian-Americans in Engineering EducationMr. Jerry Austin Yang, Stanford University Jerry A. Yang is a doctoral student and graduate research assistant at Stanford University pursuing a PhD in Electrical Engineering and a MA in Education. He received a BS in Electrical Engineering from the University of Texas at Austin with a certificateAnthony Lising AntonioDr. Sheri Sheppard, Stanford University Sheri D. Sheppard, Ph.D., P.E., is professor of Mechanical Engineering at Stanford University. Besides teaching both undergraduate and
AC 2009-550: EXPLORING COGNITIVE DIVERSITY AND THE LEVEL-STYLEDISTINCTION FROM A PROBLEM SOLVING PERSPECTIVEKathryn Jablokow, Pennsylvania State University-Great Valley Dr. Kathryn W. Jablokow is an Associate Professor of Mechanical Engineering and STS (Science, Technology, and Society) in the School of Graduate Professional Studies at the Pennsylvania State University. A graduate of The Ohio State University (Ph.D., Electrical Engineering, 1989), Dr. Jablokow's teaching and research interests include problem solving, invention, and creativity in science and engineering, as well as robotics and computational dynamics. In addition to her membership in ASEE, she is a Senior Member of IEEE and a
1986-1987 fiscal biennium.38 A shift towards research hadalready occurred during the retrenchment during the second half of the 1970s (in no small partbecause Texas had reached peak oil in 1972), but this latest economic turn prompted the state toplace even greater emphasis on research, and a “high tech” economy modeled after SiliconValley and Route 128. It was said that educated minds would become “the oil and gas” of Texas’future economy.39The state’s most concerted bid to enter into the high tech era occurred through its successful bidto bring the Microelectronics and Computer Technology Corporation (MCC) to Austin. MCCwas the nation’s first research consortium, said to be the U.S. response to the Japanese “FifthGeneration Project” in
Paper ID #37546Animation Analytics in an Interactive Textbook for Materialand Energy BalancesSidney StoneBreanne CrockettKevin Xu Kevin S. Xu received the B.A.Sc. degree from the University of Waterloo in 2007 and the M.S.E. and Ph.D. degrees from the University of Michigan in 2009 and 2012, respectively. He is a recipient of the NSF CAREER award, and his research has been supported by several NSF and NIH grants. He is currently an assistant professor in the Electrical Engineering and Computer Science Department at the University of Toledo where he leads the Interdisciplinary Data Engineering and Science (IDEAS
), with entries contributed by more than 300 doctoral-level ethics scholars,offers easily digestible information on a host of ethics-related topics, conveniently alphabetized.5IssuesWhile any ethical situation evidences numerous ethical issues, the technical nature ofengineering work makes the following most applicable for students.Whistleblowing. This action occurs when a current or former employee reports wrong-doing toan outside entity, such as a media outlet or an appropriate government agency. Students areparticularly interested in this topic when applied to cases such as Challenger (whistleblowingbefore a Congressional investigatory committee), Karen Silkwood (whistleblowing to anewspaper), various pharmaceutical companies (whistleblowing
macroethical issues when responding.In a study by Harding et al.18 of engineering students with work experience, the unethical contextmost frequently noted as temptations in the workplace were improper use of company resources,followed by falsifying records, ignoring product quality problems, and lying about work quality.Less than 20% of the students noted being tempted to ignore safety problems, accept impropergifts from vendors, or take credit for others’ work. These issues all seem to be primarilymicroethical concerns. The cited reasons for being tempted toward unethical workplace behaviorwere most often associated with the notion that “everyone does it”, followed by “I wanted toseem better than I was” and “someone told me to do it”.p. 10Annual
inconveying lab related material [7]. While for some disciplines, such as electrical and computerengineering, the differences between virtual and actual experiments are small [8], for otherdisciplines such as chemical engineering there are some topics that are very difficult to simulateeffectively.Benefits to virtual laboratories include fewer necessary physical resources, the ability forasynchronous experimentation, and the ability in some cases to provide more intellectuallychallenging problems than traditional theory-based labs [9]. However, these courses come withtheir own set of problems. Disparities in resources such as Internet access and reliable computerhardware can lead to problems with inequity between students [10]. This problem may
way intoaccreditation boards’ criteria. For example, the Accreditation Board for Engineering andTechnology (ABET) adopted its EC2000 criteria in the late 1990’s emphasizing the importanceof the role of CI when accrediting a program [4]. Within academia, computing programsembraced the CI trend given the rapid advances in the field. For that matter, faculty and studentscreated many software applications to help in their own department’s or program’sadministrative and CI tasks [5], [6]. When faced with declining enrollment [7], CI is even moreimportant for higher education in general and computing programs in particular.Academic computing programs are also required to obtain local, regional, national, orinternational accreditation as either a
teaching first year engineering for the past nineteen years, with emphasis on computer aided design, computer programming, and project design and documentation.Prof. Fabian Hadipriono Tan P.E., Ohio State University Fabian Hadipriono Tan has worked in the areas of construction of infrastructures and buildings, failure assessment of buildings and bridges, construction accident investigations, forensic engineering, ancient buildings, ancient bridges, and the ancient history of science and engineering for over 40 years. The tools he uses include fault tree analysis, fuzzy logic, artificial intelligence, and virtual reality. c American Society for Engineering Education, 2019 Classroom
Paper ID #15517A Philosophical Perspective on ABET’s Proposed Changes to Criterion 3Dr. Alan Cheville, Bucknell University Alan Cheville studied optoelectronics and ultrafast optics at Rice University, followed by 14 years as a faculty member at Oklahoma State University working on terahertz frequencies and engineering educa- tion. While at Oklahoma State, he developed courses in photonics and engineering design. After serving for two and a half years as a program director in engineering education at the National Science Founda- tion, he took a chair position in electrical engineering at Bucknell University. He is
has been a significant shift to move away from aclassical lecture-based paradigm towards a learner-center paradigm 2, 3, 4 . The latter is an umbrellathat covers a wide range of instructional techniques which include but are not limited to active andcollaborative learning, inquiry-based learning, problem-based learning, project-based learning,case-based learning, and research-based learning. The common factor between all these methodsis that the student develops knowledge through the gathering and analyzing of information.Educators who employ the learner-center approach are required to develop activities that meet thegoals of each specific subject while enhancing the learning experience of the student. Thedevelopment of these activities is a
field of study that is the best fit for theirinterests and career aspirations. What follows is an exploration of such an expanded metric thatendeavors to: • Define and motivate the Retention Index for STEM Excellence (RISE). • Demonstrate its application, significant results in real college transcripts, and highlight key differences in RISE results across substrata of gender, ethnicity, and discipline. • Discuss the implications of these differences for the future of STEM education research as well as the shortcomings of the RISE that require further examination.3. Methods3.1. Sample characteristicsTo validate the RISE definition that follows, this study examined the transcripts from 10 of themost recent cohorts
Paper ID #13373Living-Learning Communities Improve First-Year Engineering Student Aca-demic Performance and Retention at a Small Private UniversityDr. William John Palm IV P.E., Roger Williams University William Palm is Assistant Professor of Engineering at Roger Williams University, where he teaches Engi- neering Graphics and Design, Computer Applications for Engineering, Machine Design, Biomechanics, and Capstone Design. Prior to joining Roger Williams, he worked as a product design engineer and con- sultant and taught at the U.S. Coast Guard Academy and Boston University. He holds a PhD in Mechanical Engineering from MIT
research involves design education pedagogy, including formative assessment of client-student interactions, modeling sources of engineering design constraints, and applying the entrepreneurial mindset to first-year programming projects through student engagement in educational software development. Estell earned his BS in Computer Science and Engineering degree from The University of Toledo and both his MS and PhD degrees in computer science from the University of Illinois at Urbana-Champaign. c American Society for Engineering Education, 2020 “EMbedding” the KEEN Framework: An Assessment Plan for Measuring ABET Student Outcomes and Entrepreneurial
undergraduate and graduate students in STEM to foster research and professional development skills. She also has relevant experiences in organizing undergraduate research symposium/conferences, hosting professional development workshops, providing guidance on undergraduate/graduate school application. Currently, she serves as a Teaching Scholar for the K-12 STEM Education Program at Berkeley Lab and is involved with curriculum development of K-12 outreach at LBNL.Haleh Barmaki Brotherton, Clemson University Haleh Barmaki Brotherton is a graduate student in the Department of Engineering and Science Education at Clemson University. Her research interests include perfectionism, self-regulation, and decision-making. She earned
Paper ID #27192On Transfer Student Success: Exploring the Academic Trajectories of BlackTransfer Engineering Students from Community CollegesDr. Bruk T. Berhane, University of Maryland, College Park Dr. Bruk T. Berhane received his bachelor’s degree in electrical engineering from the University of Mary- land in 2003. He then completed a master’s degree in engineering management at George Washington University in 2007. In 2016, he earned a Ph.D. in the Minority and Urban Education Unit of the Col- lege of Education at the University of Maryland. Bruk worked at the Johns Hopkins University Applied Physics Laboratory, where
-behavioralmodels of design teams that will be applicable in academic and industry environments, as well asnew tools for improving the effectiveness of those teams. In that original context, our aim is toidentify and map the behavioral building blocks of High Performance Design Teams (HPDTs)through two functional objectives: 1. Identify the behavioral interaction sequences and individual characteristics that characterize high performance design teams (i.e., the HPDT “genome”); and 2. Map these sequences and characteristics to creative design outcomes.The project utilizes a unique team interaction measurement system called the Interaction DynamicsNotation (IDN)1 to characterize interaction behaviors between individuals on a team, as well asthe
learning environments in academic settings. Her research has been funded by the National Science Foundation (an Ethics in Science and Engineering project to develop frameworks for developing ethical reasoning in engineers, and a Cyberlearning project to develop collaborative design environments for engineers), and by corporate foundations, the Department of Homeland Security, the College of En- gineering, and the Purdue Research Foundation. She has been recognized as the inaugural Butler Faculty Scholar, a Faculty Fellow in the CERIAS institute, a Service Learning Faculty Fellow, Diversity Faculty Fellow, and recipient of the Violet Haas Award (for efforts on behalf of women), all at Purdue University. This year she is
majority of undergraduate degrees in certain STEM-related disciplines.4However, there is evidence that what are known as leaky pipeline and glass-ceiling effectsremain especially strong in STEM fields.5 Psychologists and educational policy researchers areurged to turn attention to the later stages of career development where women’s careeraspirations often plummet and where women get stuck or drop out of STEM all together.6 Thispaper presents the preliminary results of a qualitative research project, with an analysis thatfocused particularly on isolating aspects that these female STEM doctoral students experiencedduring one academic year.The graduate school period along the academic science and engineering career pathway hasreceived little
in the areas of structural engineering and solid mechanics.Oliver Jia-Richards, University of Michigan Oliver Jia-Richards is an Assistant Professor of Aerospace Engineering at the University of Michigan, and received his Sc.D. in Space Propulsion and Controls from the Massachusetts Institute of Technology. His research interests lie in the domain of space systems, with particular attention on the applications of electric propulsion devices and related technologies for space exploration. ©American Society for Engineering Education, 2023 Work in Progress: Implementing an Orbital Debris Macroethics Lesson in a Junior-Level Spacecraft Dynamics CourseIntroduction and
difficulties with online writing tools” [7, p. 3].Computer Science faculty were surveyed in June 2020 by Bizot et al [8]. 450 faculty respondedto the survey which had been distributed to the Computing Research Association (CRA) and theACM Special Interest Group on Computer Science Education (SIGCSE) mailing lists. Thefaculty reported that they changed their pedagogical techniques after the move online. Beforemoving online, 250 faculty had used active learning in their classes. After moving online, 34.9%discontinued active learning, 43.4% made minor changes and 21.3% made significant changes.Collaborative projects and labs were also impacted by the move online. Of the 180 faculty whoused collaborative projects, 13.9% discontinued them, 71.7% made
, and socially just. She runs the Feminist Research in Engineering Education (FREE, formerly RIFE, group), whose diverse projects and alumni are described at feministengineering.org. She received a CAREER award in 2010 and a PECASE award in 2012 for her project researching the stories of undergraduate engineering women and men of color and white women. She has received ASEE-ERM’s best paper award for her CAREER research, and the Denice Denton Emerging Leader award from the Anita Borg Institute, both in 2013. She was co-PI of Purdue’s ADVANCE program from 2008-2014, focusing on the underrepresentation of women in STEM faculty positions. She helped found, fund, and grow the PEER Collaborative, a peer mentoring group of
ofimportant program learning outcomes, while over 67% identify internships and community-based projects as useful in “evaluating the graduates’ potential for success” [2, p. 18], and half ofthe employers target them as the place where institutions should devote the most resources forassessment [2]. Experiential learning environments provide places where “knowledge is created throughthe transformation of experience” [14, p. 41], while enhancing their learning experience [13]. Itis an authentic assessment environment that more closely simulates later types of learningsituations, and is “one of the truest forms of active learning” [16, p. 80] where students candemonstrate their knowledge and skills, and receive valuable feedback from the
Paper ID #30306It’s the End of the World as We Know It, and I Need a Job: A QualitativeExploration of Mid-Year Engineering Students’ Future Possible CareersDr. Catherine McGough, Minnesota State University, Mankato Catherine McGough is an Assistant Professor at the Iron Range Engineering Bell Program through Min- nesota State University, Mankato. She received her PhD in Engineering and Science Education in 2019 and a BS in Electrical Engineering in 2014 at Clemson University. Her research interests are in undergrad- uate engineering student motivations and undergraduate engineering problem solving skill development and