, the iGEMcompetition, etc. This framework has the potential to combine academic coursework with real-world engineering challenges in a way that challenges students to co-design and implementstrategies for completing the stated learning and project objectives.1. IntroductionThroughout the past three decades, application-based engineering projects have been shown toincrease student learning outcomes as compared to traditional lecture and laboratory courses.[1-5]As a result of changing accreditation requirements, industry trends, and research in engineeringeducation, most engineering programs in the Unites States have incorporated either semester-longor year-long courses focused on engineering design. Frequently, these courses are targeted
and telecommunications, agriculture and environment, etc [1]. Broad areascovered by materials science and engineering include synthesis and processing of materials;structure, composition, and properties; tailoring of material properties; and performancetesting and applications. The importance and role of this multi-disciplinary field is becomingeven more significant for the current and future world due to increasing concerns abouteconomics and business, new technologies, environment and ecology, depletion of traditionalmaterials, etc [2].Core MSE CoursesThe undergraduate Mechanical Engineering program at our university includes two serialcore courses Materials Science (MS), and Engineering Materials (EM). The MS course servesas an
Engineering and Director of the Texas Sustainable Energy Research Institute at The Univer- sity of Texas at San Antonio. Her research expertise is in: (1) mathematical programming and optimiza- tion techniques for analyzing large-scale, complex systems under uncertainty, and (2) big data analytics for manufacturing processes. She is member of INFORMS, IISE and ASEE.Dr. Timothy Yuen, The University of Texas at San Antonio Timothy T. Yuen is an Associate Professor and Assistant Chair in the Department of Interdisciplinary Learning and Teaching with a joint appointment in the Department of Computer Science and a courtesy appointment in the Department of Electrical and Computer Engineering at the University of Texas at San
adesign project. The number one design criteria for a design project is that the product must besafe[1]. To know whether a product or a component is safe or not, the first information thatmechanical engineers must obtain is its internal forces through engineering statics. Engineeringstatics is the first technical core course in a sophomore-level engineering curriculum. Teachingand learning engineering statics is a challenge because the concepts of moments, reaction forces,the behavior of different supports, the free-body diagrams, a group of coupling-equations forsolving unknown forces, trusses, frames, machines, etc. are abstract and difficult to beappreciated [2, 3]. Typically, the engineering statics course is treated as a gatekeeper for
Foundation supported CareerWISE research program, which strives to: 1) understand the experiences of diverse women who are pursuing and leaving doctoral programs in science and engineering and 2) increase women’s persistence in science and engineering doctoral programs through the development and dissemination of an online resilience and interpersonal communication training program.Dr. Shawn S. Jordan, Arizona State University, Polytechnic campus SHAWN JORDAN, Ph.D. is an Associate Professor of engineering in the Ira A. Fulton Schools of En- gineering at Arizona State University. He teaches context-centered electrical engineering and embedded systems design courses, and studies the use of context and storytelling in both
over graduate school. Thepaper provides an in-depth discussion on the findings of the REU program evaluation and itsimpact on undergraduate students with respect to their future plans and career choice. The analysisis also done by gender, ethnicity, academic level (sophomore, junior, senior), and type of homeinstitution (e.g., large research universities, rural and small schools) to explore if there was anysignificant difference in mean research competency scores based on these attributes. 1. IntroductionToday’s manufacturing operations are more complex and globally scalable compared to those inthe last century (Lee et al., 2016). This complexity in manufacturing operations is due to a shift inmanufacturing from craftsmanship model in the
, approaches to learning, interestsor goals. This approach lacks consideration for student motivation, which is an importantelement of student engagement in the first year experience, leading to the development of a senseof belonging and persistence in the engineering program [1] - [3]. Self-determination theory(SDT) approaches motivation from the perspective of three psychological needs: autonomy,competence, and relatedness [4]. Competence is portrayed as feelings of mastery that allowindividuals to complete tasks, relatedness concerns our desire to feel connected to others inmeaningful ways, and autonomy refers to an individual's ability to control experiences in theirlife [5]. In educational contexts, autonomy support involves a cluster of
. c American Society for Engineering Education, 2020 Collaboration and Design Practices in First-Year Project-Based EngineeringFostering first-year project-based learning (PBL) environments helps to engage students inengineering design practices and broaden their participation pathways in engineering fields [1].PBL collaborative design activities provide unique opportunities for students to develop,negotiate, and finetune designs. These design activities represent several engineering procedures,from planning projects and improving a production process to developing new materials [2].However, the collaborative design process in PBL is not well understood. Although researchershave conceptualized engineering design process among engineering
members describe the resources that serve as key supports as well as the barriers that hinder support in their community?RQ4. What strategies do community members perceive their community should implement to enhance their ability to support engineering as a potential career choice?RQ5. How are these supports transferable or adaptable by other schools? What community-level factors support or inhibit transfer and adaptation?To answer the research questions, we employed a three-phase qualitative study. Phase 1 focusedon understanding the experiences and perceptions of current [University Name] students fromhigher-producing rural schools. Analysis of focus group and interview data with 52 studentshighlighted the importance of interest and
mentored new freshmen forone year. This paper will describe demographics of each S-STEM cohort, the activities usedduring the peer mentoring, observable differences between direct admit and college-readyfreshmen with respect to peer mentoring, and possible peer mentoring activities that can beimplemented at other institutions.IntroductionIn 2018, 622,502 undergraduates enrolled in Bachelor of Science (BS) engineering programs inuniversities across the U.S. That same year women, African American, Hispanics, NativeAmerican and Hawaiian/Pacific Islanders earned 21.9%. 4.2%, 11.4%, 0.3% and 0.2% of theB.S. engineering degrees, respectively [1]. Women are often drawn to engineering disciplineswhere they can ‘help’ or give back [2], therefore, it was
the “spiral approach” for course redesign.Lessons learned from previous semesters are incorporated into any needed redesign and/orrefinements of the HIPs as part of the process for updating each course syllabus each semester.Two courses serve as examples to demonstrate how to implement HIPs in basic STEMengineering courses.IntroductionKuh asserts that college degrees are valued by society and empower the individual; however,persistence and completion of the degree is reflective of the quality of the learning experience[1]. To strengthen academic success, faculty development in effective teaching strategies, suchas High-Impact Educational Practices (HIPs), is needed [2]. HIPs ensure that students haveaccess to well-designed, engaging academic
the University of Michigan in 2008. c American Society for Engineering Education, 2020 Critical Educational Theory: Applications in Engineering Education Corin L. Bowen 1 and Aaron W. Johnson, Ph.D. 2 1 Ph.D. Candidate, Department of Aerospace Engineering, University of Michigan, Ann Arbor, MI, clbowen@umich.edu 2 Instructor, Department of Aerospace Engineering Sciences, University of Colorado, Boulder, CO, aaronwj@colorado.edu Critical theory is
which present the most difficulty for students to learnwithin data science. In particular, this project addresses three primary research objectives: (1)identify student misconceptions in data science courses; (2) document students’ prior knowledgeand identify courses that teach early data science concepts; and (3) confirm expert identificationof foundational data science concepts, and their importance for introductory-level data sciencecurricula.During the first year of this grant we progressed on items (1) and (3). For objective (1) wedeveloped and launched a pilot assessment, the difficulty protocol, for identifying studentdifficulties within data science courses. T he difficulty protocol includes weekly reflectiveresponses from faculty
Paper ID #31607Delivering Contextual Knowledge and Critical Skills of DisruptiveTechnologies through Problem-Based Learning in Research Experiences forUndergraduates SettingGurcan Comert, Benedict College Associate Professor of Engineering at Benedict College, has interest in teaching and researching intel- ligent transportation systems and development of applications of statistical and computational models. He is currently serving as associate director at the Tier 1 University Transportation Center for Connected Multimodal Mobility. Supported by different NSF and DOT funded projects, he has been working with
Chair of Pre-Engineering. Since 2015, he has been employed at the University of Southern Indiana as an Assistant Professor of Advanced Manu- facturing. He holds three patents, has served as an IEEE section officer since 2004, and has been a Licensed Profes- sional Engineer in the State of Indiana since 2005. c American Society for Engineering Education, 2020 Design and Development of a Sensor/Actuator Module to Enhance Programmable Logic Controller (PLC) Laboratory Activities1. AbstractIn industry, Programmable Logic Controllers (PLCs) are used to automate industrial processes ormachines [1]. Typically, the processes or machines being automated perform a series of stepsthat
research aims to improve the design of educational experiences for students by critically examining the work and learning environments of practitioners. Specifically, she focuses on (1) how to design and change educational and work systems through studies of practicing engineers and educators and (2) how to help students transition into, through and out of educational and work systems.Dr. Cheryl A Bodnar, Rowan University Dr. Bodnar is an Associate Professor in the Experiential Engineering Education Department at Rowan University. Her research interests relate to the incorporation of active learning techniques such as game- based learning in undergraduate classes as well as integration of innovation and entrepreneurship
, humanitarian practice, peace, and sustainability. We have developed thesematerials to support our Mechanical (ME), Electrical (EE), Integrated (IntE), and Industrial &Systems Engineering (ISyE) degree programs. New courses include Engineering and SocialJustice, Engineering Peace, Community-Based Participatory Apprenticeship, User-CenteredDesign, and an Integrated Approach to Electrical Engineering. Modules or other content havebeen incorporated in courses including Circuits, Materials Science, Operations Research, SixSigma - Process Improvement, and Robotics. Existing courses in the curriculum whichincorporate materials designed to help students become Changemaking Engineers byincorporating sociotechnical elements are summarized in Table 1
Paper ID #30740Does stereotype threat affect creative thinking in female engineeringstudents? A behavioral and neurocognitive studyDr. Rafal Jonczyk, (1) Adam Mickiewicz University; (2) Pennsylvania State University Rafał Jo´nczyk (PhD) is an Assistant Professor of Linguistics at the Faculty of English of Adam Mick- iewicz University in Poland. His main research interests concern the behavioural and neurocognitive cor- relates of emotion anticipation, perception, and production in the first (L1) and second (L2) language(s). His recent research interests include the investigation of brain dynamics during creative ideation and
, sample of the labs will be introduced. Finally, the student’s feedback regarding incorporating visual components software with the programming industrial robots’ course will be presented. Keywords: Robot simulation software, Visual Components software, industrial robot, 3D CAD data, virtual commissioning, Process Optimization, robot integratorIntroduction:The Visual Components (VC) simulation software has become an increasingly essential toolfor manufacturing professionals having the responsibilities of layout, planning, and optimizingthe work cell design for virtually commissioning the robot and accelerating the time toproduction [1]. It uses 3D CAD data to create a virtual model of the robot
well as future directions will beexplained.Fourier Transform Infrared (FTIR) Spectroscopic Imaging SystemFTIR spectrometer and microscope are important tools for chemical characterization of sampleswith infrared active molecules. An infrared spectrum of a sample shows absorption peaks whichcorrespond to the frequencies of vibrations between the bonds of the atoms making up thematerial [1]. This system employs an interferometer and uses Fourier Transform process whichimproves the quality of the IR Spectra and makes the data acquisition much faster. When theabsorbance (or transmittance) intensities from all the spectra at a specific wavelength are insertedtogether in a matrix, the chemical image at that wavelength is formed. FTIR
grant awarded in 2013. The program developed atargeted pathway for academically talented and women with financial need interested inengineering to successfully enter the STEM workforce. The program targeted three criticalstages: 1) recruit talented women into the ABET accredited engineering program at Elizabethtown College by forming a cohort of scholars, 2) leverage and expand existing high impact practices (including an established matriculation program, living learning community, collaborative learning model, focused mentoring, and undergraduate research) to support women scholars during their college experience, and 3) mentor scholars as they
acquisitiontasks), larger, multi-week lab projects, and a term project. As both the Pocketbeagle and Pythonhave a plethora of freely available online resources, the required course text focuses primarily ondata acquisition methods and theory.Linux Board SelectionThere are many embedded Linux development boards that can be used in a university setting.An abbreviated list of the boards considered for use the instrumentation class mentioned isshown below: • Raspberry Pi [2] ($35) • BeagleBone Black [4] ($55) • Pocketbeagle [5] ($25)All of these boards were examined and comparisons were made based on processor speed,memory, I/O capabilities, and compiler/development environments. A short comparison of theseboards is given in Table 1
connection to industry. This paper reviews theactions taken to develop this culture based on the four essential areas of change. It also providesinsights on lessons learned thus far and plans to reach long term goals in the coming years.IntroductionIn 2017, the Mechanical Engineering Department at Seattle University was awarded a NationalScience Foundation grant to revolutionize the department. The project leverages thedepartment’s small size and close ties with industry to create a culture of “Engineering withEngineers.”This paper summaries the current status of the five-year project and is an updated version of theNSF Grantees Poster papers presented at the 2018 and 2019 ASEE Annual Conferences [1], [2].The project background and objective are
strategies, modifying content, giving instructor feedback on muddiest points, andcreating class activities that address IBS. Uncovering and addressing such IBS makes teachingboth more challenging and rewarding with the opportunity of improving the classroom experiencefor both students and instructors.IntroductionResearch has shown that the combination of active learning through student engagement combinedwith frequent formative feedback is more effective than traditional knowledge transmission bylecture for achieving improved student attitude, persistence, and achievement (1-5). In student-centered learning, students engage with one another in relevant activities that promote conceptualdevelopment by defining and using vocabulary, discussing and
data and correlations extracted from this course to addresswhether project-based learning aids in enhancing student appreciation for materials science andengineering and how the utilization of different mentoring types enhances the effect.Introduction:Materials science is a field of study that is instrumental to large-scale problem solving in society[1-2]. The importance of the field is often apparent to students choosing to major in the field; theunique contribution of materials science principles to engineering as a whole is often less obviousto non-majors. In part, this is due to the societal tendency to champion a final product (or individualcarrying out a heroic act), rather than the engineers, scientists, and technicians who made
, rank, research or teaching focus,and attitude and influencing tactics [1]–[4]. A few studies seek to explore nuance with longlists of questions about faculty behavior, looking to correlate specific actions with SET [5].Ultimately, meta-studies are employed, such as the oft-cited article by Pounder whichsystematically assesses the various forms of bias in SET and espouses a move towardcapturing the “richness and diversity of what happens in a typical classroom” a concept notencompassed by SET [6].An often examined question is whether time of day impacts the teaching evaluation, andmany studies have looked at various aspects of this question. A number of studies thatlooked at time of day found it to not be significant, instead finding that other
best answer their research question, hypothesis, orpurpose of the study [1]. A mixed methods research methodology that a researcher may select isQ methodology. Q methodology is a social science research methodology focused onsystematically studying subjectivity utilizing both qualitative and quantitative researchtechniques [2]–[6]. While Q methodology has had limited use in engineering education research,it has been used in studies regarding the career paths of engineering education doctoral graduates[7], competencies for nanotechnology [8] and IT [9], curriculum design for information systems[10], construction engineering technology program assessment [11], and undergraduateengineering students’ out-of-class activities [12]. However, Q
of future REU sites as wellas undergraduate research projects in general.Background & Program Details [1]On soliciting feedback from the manufacturing and energy industry nationwide, as well as fromIndustrial Advisory Board members that hire Texas A&M University (TAMU) students, arecurring concern brought up over the years was that often the incoming workforce did notexhibit the necessary knowledge and skills in metrology and inspection. Metrology, the scienceof measurement, and inspection transcends scales, materials, and disciplines; yet, rarely are itssalient aspects emphasized. This NSF-REU site titled “Interdisciplinary Research Experiences inMetrology & Non-Destructive Inspection” was a direct response to address this
Mathematics(STEM) to inspire their female successors in this field.The following sections of the paper describe the literature review, the methodology adopted tocollect data, the results and analysis, and the conclusions drawn.Literature ReviewNumerous studies have been conducted in different parts of the western world to understand theimpact of faculty’s gender on students and how students of different genders perceive their maleand female professors. Bettinger and Long [1] investigated the data of 54,000 college students inOhio to find the impact of female faculty on students’ choices of course in their early collegeyears. The study concluded that female faculty have the potential to increase the interests offemale students in a subject. This was
designrequirements and takes either 1 or 2 weeks to complete, depending upon the scope of the project.Each project is completed by a student team which consists of either 1 or 2 students (somestudents prefer to work by themselves). Students pick their team members at the beginning of thesemester.For all of the projects, students are expected to work outside of the scheduled lab time in order tocomplete the design objectives. A listing of the lab projects for the course is shown in Table 1.The first four lab projects utilize LabVIEW with the myDAQ, while most of the remaining labsutilize the PSoC 5LP. Table 1. Lab Project Schedule. # of weeks