difficulty (Figure 2). Taking all these facts together, one can conclude that the “corequisite” was simply not as prepared for Exam 1 as their counterparts. One possible reason for this is that the “corequisite” first encountered particle equilibrium in Week 4 of their Physics I class, which occurred after Exam 1 had already been administered. They simply did not have as much reinforcement and repetition on this material as their “prerequisite” counterparts. They are also likely less prepared for the rigors of a college exam. For most of the “corequisite” group, Exam 1 was their first or second exam in their college careers and that might also have been a factor in their poor performance. The
has been required for decades, the future engineers being educated in our classrooms must beequipped to creatively apply the concepts they learn in school to solve problems. As computer-aided design tools are automating much of the calculations and detailing work traditionallyaccomplished by entry-level engineers, our graduates will be asked to take on higher-level tasksearlier in their career. To do so effectively requires them to visualize the problems they face andhave a firm understanding of how engineering mechanics principles apply to those problems.One way to help accelerate this development is to provide students with more opportunities tovisualize the effects of engineering mechanics concepts. ABET student outcome (k) recognizesthis
. During his military career he spent over 10 years on the faculty at the US Military Academy at West Point teaching civil engineering. He also served as the Director, Graduate Professional Development at Northeastern University’s College of Engineering.Lt. Col. Jakob C Bruhl P.E., U.S. Military Academy Lieutenant Colonel Jakob Bruhl is an Assistant Professor in the Department of Civil and Mechanical Engineering at the United States Military Academy, West Point, NY. He received his B.S. from Rose- Hulman Institute of Technology, M.S. Degrees from the University of Missouri at Rolla and the University of Illinois at Urbana/Champaign, and Ph.D. from Purdue University. He is a registered Professional Engineer in Missouri
to thestudents; keeping the number of students limited meant that the instructor could provide one-on-one help to each student beyond what would be available in a lecture or flipped class.Students were given a brief description (included as an appendix here). Ten students wereselected to fill out two teams of five students. The students included eight men and two women,nine sophomores and one junior, with intended careers of Aerospace Engineering (2), AppliedMathematics (1), Computer Engineering (1), Mechanical Engineering (4), and NuclearEngineering (2). Neither student grade-point averages nor prerequisite grades were available asthis pilot was intended as a proof-of-concept learning opportunity and did not include studentadvisors or
-emphasized or ignoredentirely in undergraduate engineering education. Many career engineers do not develop a tendencyto live‐test their measured values until after they have experienced some failures that wouldotherwise have been preventable had they checked values for reasonability during data acquisition.In addition, industry professionals have identified troubleshooting as a key educational outcomefor engineering students, as noted by Heer, et al.5 Following informal observations in ourlaboratory courses, we suspect that the prevalence of “black box” measurement devices, whichreceive analog physical inputs and report a measured value digitally, contributes to this problem.These devices are appealing to engineers because of their ease of use and
byadministering pre- and post- surveys in ENGR220 (Statics and Mechanics of Materials) andENGR221 (Circuits). There were 211 respondents at the beginning of the fall quarter, 2014, and99 respondents at the end of that term. In the winter quarter, 2014-2015, there were 185respondents at the beginning of the term and 50 respondents at the end. Table 4 shows thepercentage of students that agreed with the given statements regarding identity and self-efficacyat the indicated points in time. Table 4: Pre- and Post- Identity and Self-Efficacy Survey ResultsThese data indicate that these students generally feel comfortable with their choice ofengineering as a major, their identity as an engineer, and their prospects for a successful career
Neuroscience Lab at Stanford University and a Lecturer in the School of Engineering. Dr. Schar’s area of research is ”pivot thinking” which is the intersection of design thinking and the neuroscience of choice where he has several research projects underway. He has a 30 year career in industry as a Vice President with The Procter & Gamble Company and Senior Vice President and Chief Marketing Officer with Intuit in Silicon Valley. Dr. Schar has a BSS from Northwestern University, an MBA from the Kellogg School of Management and his PhD in Mechanical Engineering is from Stanford University. Page 24.1353.1
computational algorithms for simulating complex stochastic systems such as atmospheric aerosols and feedback control. Prof. West is the recipient of the NSF CAREER award and is a University of Illinois Distinguished Teacher-Scholar and College of Engineering Education Innovation Fellow. c American Society for Engineering Education, 2017 Algorithmic grading strategies for computerized drawing assessments1. IntroductionIntroductory mechanics courses have important learning objectives focusing on students’ abilityto accurately draw or sketch particular types of diagrams, such as free body diagrams and graphsof shear forces and bending moments in beams. To achieve mastery of these drawing skills it isessential
to her career at MacEwan, Shelley worked in industry as a research engineer and a consulting engineer for several years. c American Society for Engineering Education, 2019 A study of the efficacy of free-body diagrams for the solution of frame type mechanics problems with increasing difficulty levelAbstract The intent of this study was to conduct a quantitative assessment of students’ free-bodydiagrams (FBDs) using a predefined rubric to assess accuracy, and to determine the influence ofincreased difficulty level on the efficacy of these FBDs. Using final exams from a first-yearstatics course, the difficulties that students encountered when solving rigid body problems wereanalyzed
students. Over the span of his career, Dr. Libre authored and co-authored 3 chapter books, 17 peer-reviewed journal articles and over 60 conference papers. He has advised and co-advised 8 gradu- ate students and mentored over 30 undergraduate students. He has collaborated with scholars from several countries, including Iran, China, Slovenia, Canada, and the US. He also served as a reviewer for 6 journals and a committee member of 5 conferences. He is the recipient of the University of Missouri President Award for Innovative Teaching (2018), the Teaching with Technology Award in the Focus on Teaching and technology conference (2018), Joseph H Senne Jr. Academy of Civil Engineering Faculty Teaching and Service Achievement
graduate research student in the George W. Woodruff School of Mechanical Engineering at the Georgia Institute of Technological, where he received his Bachelors degree in the spring of 2020 . He has been working in the IDREEM lab under the guidance of Dr. Julie Linsey for most of his career at the Georgia Institute of Technology. Josh has been a part of the research into Maker Spaces and Engineering Education conducted within the IDREEM lab, and is currently focusing on Engineering Education.Dr. Tracy Anne Hammond PhD, Texas A&M University Director of the Sketch Recognition Lab and Professor in the Department of Computer Science and Engi- neering at Texas A&M University, Dr. Hammond is an international leader in
’ ‘overall very good lab component’ ‘labs were interesting and helped me to get exposure to new equipment’ ‘the lab helped me gain skills I can use in my career’ ‘the labs helped me better understand what I was learning in the class’ ‘the tutorials helped me to understand lecture content’ ‘labs were directly related to what we did in class. That made it a lot easier to understand the material’ ‘the lab helped me become more comfortable with MATLAB’ ‘lab helped to give meaning to what was taught in lecture’ ‘lab was interactive, fun and useful for the learning process’The student comments were collected through a survey at the end of the semester. The studentcomments listed above clearly
as Statics. A student’s success inthese courses can be a crucial factor in their decision to stay or leave STEM education. It is thebelief of many that if students can be properly engaged in the learning process early on in theireducation career, with theories and concepts being successfully taught to students, they will findthe course relevant and enlightening, and will be more likely to continue along their chosen pathof education. One problem that arises is determining what is meant by ‘properly engaged’, andhow this can be accomplished in the short amount of time we have with students in our courses.Introductory STEM courses provide the building blocks for student success in later courses, andin the Fundamentals of Engineering (F.E
AC 2012-4578: TOWARDS AN ”ADAPTIVE CONCEPT MAP”: CREAT-ING AN EXPERT-GENERATED CONCEPT MAP OF AN ENGINEERINGSTATICS CURRICULUMMr. Jacob Preston Moore, Virginia Tech Jacob Moore is a Ph.D. candidate in the Department of Engineering Education at Virginia Tech.Dr. Robert Scott Pierce, Sweet Briar College Robert Scott Pierce is an Associate Professor of physics and engineering at Sweet Briar College in Sweet Briar, Va. He received his Ph.D. in mechanical engineering from Georgia Tech in 1993. Prior to his teaching career, he spent 13 years in industry designing automated equipment.Dr. Christopher B. Williams, Virginia Tech
size (ranging from 3 up to several hundred), student profile (ranging from traditional, college-aged students to students who are non- traditional in a variety of ways), Page 24.1020.4 course delivery approaches (ranging from all face-to-face to some fully online delivery), appointment types and career stage (ranging from new PhDs on the tenure track to tenured faculty to non-tenure-track appointments at various ranks), institution type (public/private four-year, community college), research responsibilities (ranging from essentially none to fairly intense research expectations
on the sequence recommended by the coursetextbook[10] included particle and rigid body kinematics, the equation of motion, the principle ofwork and energy, and the principle of impulse and momentum. During the fall 2012 and fall2013 quarters, selected topics were modified to follow a challenge-based approach and theobjectives of the course were expanded. A higher level collection of objectives were included tocapture the intent of the challenge problems: to engage students in areas that the instructor feltrequired enduring understanding. Specifically, the objectives emphasized students modeling andproblem solving ability that would be important during their undergraduate career and beyond.The previous list of objective were not deleted but
. non-technical topics. We see that the amotivation only increases markedly for theactivities focused on non-technical topics. Once again, this is a small sample size, but points tointeresting questions for future studies. How can we increase students’ identified motivationtoward the non-technical aspects of their education and careers? Have we effectivelycommunicated the value of non-technical skills? Figure 3: Situational Motivation in Technical vs Non-Technical Active Learningd. Situational Motivations are Influenced by the Arc of a CourseOne of the more interesting discoveries in this case study was the students’ increased motivationtoward activity L2LNK, a passive lecture on linkage design. When considering the classroomactivities
, using standards, and cognitiveskills through provision of mechanical design and data retrieval methodologies, interactivedesign examples, sample projects, and project management for students and faculty via theinternet.2. Attract various faculty to teach application of their science through provision of thewherewithal for students to do design. Our trial application is for the elementary strength ofmaterials course.3. Assess the effectiveness of the design experiences to better prepare students for careers inengineering where they will be required to routinely perform higher level thinking in the form ofsynthesis and evaluation to solve open-ended problems that require iterative divergent andconvergent thinking. Additionally, we must ensure
amount of material that can be taught and that the students’ interest in the material isenhanced.IntroductionTo maintain and enhance our nation’s ability to be on the forefront of technology development,colleges and universities have been called to adopt the most effective teaching practices of Science,Technology, Engineering, and Mathematics (STEM) courses as well as to provide undergraduateswith opportunities to study STEM “as practiced by scientists and engineers as early in theiracademic careers as possible”.1 In fact, the practice of engineering today requires that graduatesbe prepared in a large variety of ways, which are reflected in ABET criteria as well as other recentstudies.2, 3 In addition, as supported by a wide body of literature
own interest in studying textbooks parallels my commitment to teaching studentshow to reason systematically and helping them to develop procedural knowledge. I amgenerally dismayed by corner-cutting that appears in so many standard textbooks, both inthe text and in worked sample problems. Early in my teaching career I developed theattitude that I needed to “teach around the text” by providing additional explanations,insights, approaches, and probing questions. I imagine that many instructors do likewise.In an attempt to quantify the reasons for these attitudes, Rahman, Bostwick, and Ireviewed several standard textbooks, first against the same topics as we reviewed studentwork (VCS, FBD, UNITS)22 and then against other techniques that we
AC 2009-1417: EFFICIENT TEACHING OF ELEMENTARY ENGINEERINGMECHANICS COURSESHenry Christiansen, Brigham Young University Henry N. Christiansen obtained a BS degree in Mathematics from Utah State University in 1957 and MS and PhD degrees in Engineering Mechanics from Stanford University in 1958 and 1962. He began his career at the Western Development Laboratories, Palo Alto CA in 1960 and later joined the faculty of the Civil and Environmental Engineering department at Brigham Young University in 1965. He served as chair of this department from 1980-1986. Professor Christiansen’s primary research has been in the field of computer graphics. He founded and served as Director of the Engineering
Innovative Intervention to Infuse Diversity and Inclusion in a Statics CourseAbstractEngineering educators strive to prepare their students for success in the engineering workforce.Increasingly, many career paths will require engineering graduates to work in multidisciplinaryteams with individuals possessing a diversity of skill sets, backgrounds, and identities. Therefore,it is important not only for future engineers to have the opportunity to work in teams as students,but also to have specific instruction that teaches them about teamwork skills and the valuediversity and inclusion bring to engineering practice. Furthermore, it is important that thisinstruction occurs throughout their engineering coursework, giving
infrastructure materials, digital image correlation, and undergraduate STEM education.Dr. Diana Arboleda, University of Miami Diana Arboleda, PhD, is a structural engineering Lecturer at the University of Miami, Florida. She re- ceived her B.S. in Computer Engineering from the University of Miami in 1988 and after a full career as a software engineer in corporate America she returned to academia by first earning an M.S. in Civil Engineering from Florida Atlantic University in 2010, and then a Ph.D. in Civil Engineering from the University of Miami in 2014. Her research interests and experience are in the field of concrete sustain- ability, composite material systems for the civil infrastructure, and technology transfer
performance is one of many reasons why students drop out ofSTEM career programs [22]. Aside from transfer students who may experience high stress due tochanging school cultures, students who perform poorly on initial exams may suffer from poorself-esteem and doubt their ability to succeed in engineering. Such self-doubt may result inemotional disengagement with learning tasks. Disengaged and poor-performing students areoften at risk of withdrawing from engineering courses, such as statics, that they deem to becognitively challenging. Because resilience is particularly relevant for students who experienceinitial poor performance, we will study the resilience/academic performance relationships ofstudents who struggle initially in statics and either
Theory, Signals and Systems, Electromagnetic Theory, Dig- ital Signal Processing, and Dynamic Modeling and Control. His research interests include Engineering Education, Robotics, Applied Digital Control, and Signal Processing.Joseph D Legris, Roger Williams University School of Engineering, Computing and Construction Management I am a fourth year undergraduate student pursuing a degree in Mechanical Engineering. I have experience in Matlab, SolidWorks, C+ language, and all Microsoft office applications. I have spent my career thus far involved in autonomous robotics design, dynamic modelling,and material studies. I am currently part of a bio medical design team entering the VentureWell design competition.Charles FlynnMr
Paper ID #12176Using Additive Manufacturing and Finite Element Analysis in a Design-Analyze-Build-Test ProjectDr. William E Howard, East Carolina University William E (Ed) Howard is an Associate Professor in the Department of Engineering at East Carolina University. He was previously a faculty member at Milwaukee School of Engineering, following a 14- year career as a design and project engineer with Thiokol Corporation, Spaulding Composites Company, and Sta-Rite Industries.Dr. Rick Williams, Auburn University Rick Williams is currently a Visiting Associate Professor at Auburn University. His research interests include
Paper ID #11310Application of Computer Simulation and Animation (CSA) in Teaching andLearning Engineering MechanicsMr. Moe Tajvidi, Utah State University Moe Tajvidi is a PhD student in engineering education at Utah State University. His BSc and MS degrees are in civil and structural engineering and he has a sixteen year long career experience in structural engi- neering along with four years of college instruction of both basic and advanced civil engineering courses. In his teaching experience he has been committed to introducing real life engineering problems to the learning environment. The subjects he has taught
Goals and Personal Strategy,” http://www.cet.edu/research/student.html, 1998, (accessed September 2015).[13] R. Lent, D. Singley, H. Sheu, J. Schmidt, and L. Schmidt, “Relation of Social-Cognitive Factors to Academic Satisfaction in Engineering Students,” Journal of Career Assessment, vol. 15, no. 1, February 2007.
numerical modeling with applications ranging from Biomedical Engineering to Materials Engineering. I have supervised a total of 10 MSc and PhD students throughout my career. My publication record consists of over 45 peer –reviewed journal publications in leading in- ternational journals with over 950 citations and an h-index of 15. I have made significant contributions in the area of composite mechanics research. Les has served on numerous University, National and Inter- national committees. He has served on the Schulich School of Engineering Undergraduate Scholarship Committee, member of the Schulich School of Engineering Undergraduate Committee, Schulich School of Engineering Post Graduate Committee and many others. He
solving sessions or other active learning during the weeks with noexam. The common exam times in this course model also reduce the total amount of time thatinstructors must spend developing new exams (by a factor of two if there are two coursesections).Implementation by early career faculty members (comments by Dr. Roccabianca). Thesuccessful implementation of the new assessment model requires some significant adjustmentsnot only by the students, as discussed above, but also by the instructor. For example, crafting anew exam during most weeks requires the instructor to invest a significant amount of time andenergy throughout the semester. Secondly, the significant reduction of lecture time means theinstructor must restructure much of the class