that may or may not exist between objects that are connected (or parts of the samebody). In addition, forces and moments are measured in engineering practice only by the motionsor deformations they cause.Statics utilizes a single principle of physics (equilibrium), which it elaborates substantially andapplies to model real systems for the purposes of design. Since students have trouble applyingthe principle of equilibrium, rather than understanding the principle itself, we see great relevancein Reif’s 2 idea of the importance of interpreting scientific and engineering quantities in variouscontexts. Page 7.1226.1 Proceedings of the
2017 ASEE Mid Atlantic SectionSpring Conference: Morgan State University, Baltimore, Maryland Apr 7 Paper ID #20815A Look at ABET Accreditation – Understanding the BasicsDr. Rafic Bachnak, Pennsylvania State University, Harrisburg, The Capital College Rafic A. Bachnak is Professor of Electrical Engineering and Director of the School of Science, Engi- neering, and Technology at Penn State Harrisburg. Previously, Dr. Bachnak was on the faculty of Texas A&M International University, Texas A&M-Corpus Christi, Northwestern State University, and Franklin University. Dr. Bachnak received his B.S., M.S., and Ph.D. degrees in
Paper ID #9786Understanding Teaching Assistants’ Assessment of Individual Teamwork Per-formanceMs. Patricia Kristine Sheridan, University of Toronto Patricia Kristine Sheridan is a PhD Candidate with the Institute for Leadership Education in Engineering at the University of Toronto. She holds a BASc and MASc in Mechanical Engineering from the University of Toronto. She is a member of the teaching team and a course developer for the Praxis cornerstone design courses.Dr. Doug Reeve P.Eng., University of Toronto Professor Reeve is the founding Director of the Institute for Leadership Education in Engineering (ILead) at
threeuniversities and an education research and consulting group. We are conducting research anddevelopment work to address the absence or lack of clarity in data science instruction acrossmultiple disciplines by using high frequency monitoring data from real-world systems to developand implement an interdisciplinary approach that enables undergraduate students to developrelevant data science expertise through disciplinary STEM courses. These courses includehydrology and civil engineering, environmental sciences, ecology, engineering statistics, and aninterdisciplinary undergraduate course in smart city applications. In this paper, we perform exploratory analysis towards a design-based research approachwith the goal of understanding how different
modeling/simulation using Finite Element Analysis tools. His areas of interests also include Mechanical Design and Metrology. c American Society for Engineering Education, 2018 Understanding Surface Quality: Beyond Average Roughness (Ra)AbstractDesign of machine parts routinely focus on the dimensional and form tolerances. In applicationswhere surface quality is critical and requires a characterizing indicator, surface roughnessparameters, Ra (roughness average) is predominantly used. Traditionally, surface texture hasbeen used more as an index of the variation in the process due to tool wear, machine toolvibration, damaged machine elements, etc., than as a measure of the performance of thecomponent. There
grading schemes that ebb and flow in their accuracy. CPR applies theprocess of scientific peer review to education. Students perform research (study), write abouttheir “findings”, submit it for blind review (and act as reviewers themselves), and finally usepeer feedback to improve their understanding. All of this is possible without intervention fromthe instructor using CPR.This paper reports on part of a continuing study on the utility of CPR in engineering education.In this instance, CPR was introduced into a writing-intensive laboratory course in chemicalengineering. Students worked in teams, but were required to submit individually-craftedexecutive summaries using the CPR system. Assessment was based on instructor inspection ofstudent work
course. These activities are called “free writing” activitiesand are designed to help students work through any problems in their understanding and to helpthem uncover any deep-seeded misconceptions they might have regarding a particular topic inphysics. Ultimately, these activities are intended to help students get to the heart of theirunderstanding about key concepts in physics in a non-threatening, yet pedagogically effectiveway.III. THE FREE-WRITING ACTIVITY As part of their homework assignments, students are required to keep a two-pocket folderin which to place their free-writing activities. Students receive approximately 6 free writingassignments each semester. Upon collection of the folders, a block of time (approximately 6
) McCright, P. R., and Bergmiller, G. E. 1995. Teaching engineers to Consider Environmental Issues in Design. ASEE 2: 2646-2650.(3) Dorland, D., and Baria, D. N., Hazardous Waste Processing in the Chemical Engineering Curriculum. Chem. Eng. Ed., 29, 178 (1995).Charles U. OkonkwoDr. Charles U. Okonkwo graduated with bachelors and master’s degrees in chemical engineering from Iowa StateUniversity, and a Ph.D. in chemical engineering from the University of Florida. He has worked as senior processengineers for both the chemical and semiconductor industries. Since joining the College of Technology and AppliedSciences as a lecturer, he has taught graduate courses in hazardous waste management program, and undergraduateand graduate courses including
Society for Engineering Education, 2023 Laboratory Experiment for Improving Understanding of Cold Working in Aluminum CastingsAbstractCold working is applied widely in metal forming when manufacturing metal componentsto improve mechanical properties, reduce energy usage, increase dimensional precision,etc. Understanding this type of technique is valuable to those who design andmanufacture components. As such, cold working is introduced to students of engineeringtechnology (ET) in their first semester at xxxxxx University. To enhance course contentunderstanding and improve learning efficiency, a lab-based group experiment that utilizesa materials-based cold working technique for aluminum castings was designed
Session 9-3 A Teaching Tool for Understanding Different Audio Filters Alireza Kavianpour, William Nguyen, and Paul Wagner DeVry University 901 Corporate Center Dr. Pomona, CA 91768-2642 AbstractA teaching tool for understanding different audio filters is developed. Texas Instrument DigitalSignal Processing (DSP) board, 16-bit Motorola micro-controller (MC68HC12), and C++programming are used to develop a teaching tool for explaining different types of audio filters.One application of
AC 2011-2017: STUDENTS’ UNDERSTANDING OF COMPUTATIONALPROBLEM-SOLVING TASKSAlejandra J. Magana, Purdue University, West Lafayette Alejandra J. Magana is a Visiting Assistant Professor in the Department of Computer and Information Technology and the School of Engineering Education, at Purdue University. Alejandra’s research inter- est are focused on identifying how computational tools and methods can support the understanding of complex phenomena for scientific discovery and for inquiry learning.Aidsa I. Santiago-Romn, University of Puerto Rico, Mayaguez Campus Aidsa I. Santiago Romn is an Assistant Professor in the Department of Engineering Science and Materials and the Director of the Strategic Engineering
Paper ID #38933Understanding Faculty Perspectives of Interdisciplinary Graduate ProgramsMaya Menon, Virginia Tech Maya Menon is a PhD candidate in Engineering Education at Virginia Tech. She completed her under- graduate degree in Computer Science from Arizona State University and graduate degree in Robotics and Automation from Amrita University. Her research focuses on understanding how engineering education can empower young engineers to work toward a sustainable future, including interdisciplinary engineering education and faculty decision-making.Dr. Marie C. Paretti, Virginia Tech Marie C. Paretti is a Professor of
, new sample data should fall between the control limits. If a process shift occurs itbecomes more likely that a new data point will be outside of the control limits. The process isimproved by eliminating assignable causes and reducing the common cause variation. It is important that students in the Industrial and Manufacturing Engineering (IME)department at Oregon State University (OSU) obtain a solid understanding of statistics and SPC.Many of the IME students participate in the Multiple Engineering Cooperative Program(MECOP) and are frequently expected to utilize SPC during one of their internships. To apply SPC, students must gain a solid understanding of its statistical foundation and beexposed to some of the issues associated with
successfully designed, produced, and tested a self-powered, 3 2.25 2.36 5.3 mechanically-driven car. The idea of a mousetrap car was 4 2.35 taken and adapted to travel far. With understanding of the 5 2.28 concepts of Kinematics, Conservation of Energy, Newton’s Laws, and Rotational Dynamics, the team was able to TABLE 4 DISTANCES TRAVELED
Understanding NIH:Drinking from the Fire-hose Rosemarie Hunziker, PhD Tissue Engineering/Regenerative Medicine Program Director National Institute of Biomedical Imaging and Bioengineering (NIBIB) National Institutes of Health (NIH) hunzikerr@mail.nih.gov 301-451-1609Know Your Target Research Support by Agency (in billions of constant FY17
Paper ID #42872Thinking Outside the Box: Understanding Students Thinking on Statics inMechanicsCapt. Katherine E. Welsh, United States Air Force Academy Captain Katherine E. Welsh is an instructor in the Department of Mechanical Engineering at the United States Air Force Academy (USAFA). She has instructed the Fundamentals of Mechanics course, a unique course that teaches mechanics concepts to all students, including those who are not pursuing engineering degrees. Katie received her Active Duty commission from the Air Force Reserve Officer Training Corps detachment 150 at the University of Florida in Gainesville, Florida
Paper ID #44808Understanding Degree 2, 3 and 4 Polynomial InequalitiesMr. Daniel Blessner, Pennsylvania State University, Wilkes-Barre Campus I’m a faculty member at the Penn State Wilkes Barre campus. I’m a civil and chemical engineer. ©American Society for Engineering Education, 2024 Understanding Degree 2, 3 and 4 Polynomial InequalitiesAbstractMaking engineering education more understandable to students can be difficult dueto the demanding mathematical requirements of the major. This is especially truefor mathematically underprepared students. One specific area of great difficulty forunder-prepared
Computer Science from the University of Nebraska at Omaha.Prof. Matthew MalensekMr. Gian Bruno, University of San Francisco American c Society for Engineering Education, 2021 Work in Progress: Understanding Professional Identity Development Among Computer Science StudentsIntroductionDespite growing enrollments in computing programs, retention, particularly of students fromhistorically marginalized and minoritized groups, remains a challenge [1]. Recent research hasdemonstrated that a stronger sense of disciplinary identity may contribute to increased persistencein STEM fields. A number of High-Impact Educational Practices (HIPs) [2] have been shown
provide feedback on theusefulness of the concept Map. In ECE 110 course, student feedback was collected during classtime by using iClicker [18]. In ECE 210 which had larger student enrollments, student feedbackwas gathered through a university feedback survey tool. In the ECE 329 and ECE 333 courses,this feedback was gathered through an anonymous survey conducted via Google Forms. Studentswere instructed to submit a screenshot demonstrating their completion of the survey to receivecredit.Design survey questionsThe survey questions for this work were designed to explore the impact of concept mappingacross diverse courses and examine student perceptions in different engineering course settings.The five questions we tried to understand were: 1. In
a promising technique and might be implemented in new generation routers. However, the concepts and internal workings of AQM schema are difficult for researchers and students to understand. Thus, we designed an interactive software to dynamically visualize the AQMs’ principles and internal workings. The implementation of simulation package used Java tech- nology due to that Java is an object-oriented programming language with extensive build-in graphical facilities and multi-threading mechanism. In our software package, we have implemented the traditional Drop Tail(DT) and two representative AQM schemas: Random Early Detection(RED) and BLUE. It allows users to conduct their own experiments by entering different parameters for each of the
Paper ID #39694Student Self-Assessment of Knowledge to Encourage IndividualUnderstanding of StrengthsDr. Megan Prygoski, Purdue University at West Lafayette (Polytechnic) Dr. Prygoski has been teaching Mechanical Engineering Technology at Purdue University’s South Bend campus for nine years. She has her B.S. in Mechanical Engineering from the University of Arizona and a M.S. and Ph.D. in Mechanical Engineering from the University of Notre Dame. ©American Society for Engineering Education, 2023 Student Self-Assessment of Knowledge to Increase Understanding of
of anystudents explore concepts in number theory. We describe a polygon equals 360--this is so different from the standardspreadsheet program that can generate all the factors of an approach, that it proved difficult to bring the working twointeger. To understand how the spreadsheet solves these schools. Furthermore, Papert used a particularproblems, we use the metaphor of a robot. The robot must programming language that did not correspond tointerpret data from the real world and respond effectively. classroom practice.Although non-engineers may not understand the details, In this study, we focus on Number theory, a topic well- established for grades four
ASEE-NMWSC2013-0031 Understanding Wireless Propagation Through Ray-Tracing Simulation Nischal Adhikari and Sima Noghanian Department of Electrical Engineering, University of North Dakota niischal@gmail.com, sima.noghanian@engr.und.eduAbstractThe field of wireless communication has become an important part of electrical engineeringundergraduate program. Due to developments in this field there is an increasing need forgraduates with good understanding of wireless channels. However, the electromagnetic fieldsand radio propagation has been regarded as a dry and
an astronomy simulation," Journal of Research in Science Teaching, vol. 40, pp. 6-33, 2003.[5] H. A. Simon, "The structure of ill structured problems," Artificial Intelligence, vol. 4, pp. 181-201, 1973/12/01/ 1973.[6] H. A. Simon, "Information-processing theory of human problem solving," in Handbook of learning & cognitive processes: V. Human information., ed Oxford, England: Lawrence Erlbaum, 1978, pp. 271-295.[7] S. Ahmed, K. M. Wallace, and L. T. M. Blessing, "Understanding the differences between how novice and experienced designers approach design tasks," Research in Engineering Design, vol. 14, pp. 1-11, 2003.[8] D. Jonassen, J. Strobel, and C. B. Lee, "Everyday problem solving in
study of smartness in engineering culturealso has practical implications, such as for inclusive classroom design.1. IntroductionThe construct of smartness and the field of engineering are inextricably linked. While the publicoften has limited understanding of engineering as a profession [1-3], one central theme is thebelief that engineering, with its emphasis on math and science, is difficult [4, 5]. As with anysocietal narrative, there is a gap between the public perception of engineering as a profession andthe reality of engineering work. For example, we see this in emphasizing the importance of mathand science skills while ignoring key engineering characteristics such as creativity, teamwork,and communication. The collective emphasis on
Paper ID #34862WIP: Supporting Student Mental Health: Understanding the Use ofBiometrics Analysis in an Engineering Design Project to Promote WellnessIsabel Miller, University of Illinois at Urbana - Champaign Isabel Miller (she/her) is pursuing a MS in Bioengineering at the University of Illinois Urbana-Champaign, having received her Bachelors in Bioengineering in 2021 from UIUC. She is interested in student mental health and wellness.Sara Xochilt Lamer, University of Illinois at Urbana - Champaign Sara Lamer (she/her) is a junior studying Mechanical Engineering at the University of Illinois at Urbana- Champaign. She is
2005 and Bachelor’s Degree from the Hefei University of Technology in 1997, both in Mechanical Engineering. Dr. Liu’s research has historically focused on the areas of multiscale material modeling and simulation, high strain rate performance of materials, vehicle systems design and analy- sis, and hydropower and wave energy technology. His current research interests and activities center on gaining a better understanding of the process-structure-property-performance relations of structural mate- rials through advanced multiscale theoretical framework and integrated computational and experimental methods. To date, Dr. Liu has published about 200 peer reviewed publications, including more than 100 peer reviewed
University. She is a certified Mathematics teacher for grades 7-12 in the state of Pennsylvania. She currently works in consulting as an analyst at Accenture. Page 24.379.1 c American Society for Engineering Education, 2014 Designing Industrial Engineering Course Content and Delivery with an Understanding of the Learning Preferences and Factors Driving Satisfaction of Undergraduate Industrial Engineering StudentsAbstractThis paper discusses the results of a study aimed to understand the learning preferences,motivation, and satisfaction of junior and senior level industrial engineering
addressed in the courseThis course addresses a variety of engineering- and software-related facets of technology. Itspecifically focuses on the application of science to devices and instruments used in heavy metalrather than the science itself, which is addressed in another course at the host university. Assuch, a broad swath of disciplines is able to be covered in the course through the examples ofmusic creation and distribution. These examples are then expanded upon to generate discussionabout how engineering and technology serve society in other ways. The entire discussion beginswith understanding the processes of engineering design and problem solving, and then moving tohow those processes manifest in the various engineering disciplines. The
. Tobetter understand why the gap exists, this project will directly turn to the engineering faculty toarticulate their beliefs and practices with respect to these two critical professional skills,teamwork and communication. Few studies have examined faculty beliefs about these importantskills and how they enact their beliefs in their teaching practices, particularly in content heavyfundamental courses. Studies by Leydens 28 and House et al. 4 provide some insights regardinghow faculty perceptions of communication, but much research is needed before these skills canbe effectively and holistically integrated into engineering technical content and skilldevelopment.To bridge this gap, we have begun a three-year mixed methods study design to explore