paper discusses the integration of COMSOL Multiphysics into an EE program through theuse of energy related applications. This was made possible by the university’s Innovation inEducation Award. This paper details the award proposal, the implementation of COMSOLMultiphysics into an electromagnetics course through an undergraduate special project, anenergy related undergraduate summer research using COMSOL Multiphysics, and a plan forintegrating the tool into more of the EE curriculum at University of Pittsburgh and how it can beused for education and undergraduate research in sustainable energy.Innovation in Education AwardThe University of Pittsburgh has an annual Innovation in Education Award which facultythroughout the university can apply to
” or “helpful,” but there were very few suggestions on how to improve them.One student suggested making them shorter, another wanted more complicated problems, andfinally, one student asked for them to be even more interactive. Figure 9 – Results from the question “How useful were the ‘What Strategy’ videos?”Future changesBased on the student responses to the questionnaires, the main activity in the course that need tobe improved are the breakout rooms. In the future, I plan to give more instruction on their use,such as how to effectively work on the whiteboard and how to upload documents intoBlackboard Collaborate. I will require one student in each breakout room to upload a pdf of thehomework problem they are working on so that
students greatly benefited from MATLAB workshops andthe training provided by the Onramp platform. Most students would have liked to explore moretraining content that is provided by the MATLAB training platform. We therefore plan to extendthis activity in the fall 2021 along with other suggestions.One of the survey questions was: “What is the best aspect of the MATLAB workshops – the onething that should not be changed? “A few responses stood out:`` I particularly enjoyed our third MATLAB workshop where we were introduced to thefundamentals of writing basic programs. I think it provided me a good introduction and skills that Ican transfer to other programming concepts. ```` My most memorable moment has to be when I completed my first multi-step
]. Three distinctlearning strategy groups were identified: Navigators, Problem Solvers, and Engagers [10].Navigators plan their learning and focus on completing the necessary activities to achieve theirgoals. Order and structure are important to these learners, who tend to be logical, objective, andperfectionists. They want clear objectives and expectations at the beginning of a course and inadvance of activities, such as in an explicit and detailed syllabus. Problem Solvers are criticalthinkers who like to explore multiple alternatives. For them, the process is important, so theyneed flexibility in completing learning activities. They may have difficulty making decisionsbecause they must choose among multiple alternatives and because the
internetconnection). We redesigned our courses and projects around these responses and did our best tohelp students acquire resources when needed. Our first day of remote teaching was set aside foranswering questions about the pandemic and university plans and explaining new expectationsand changes to grading (e.g., out of class activities or group work that were eliminated), updatedlearning objectives (due to the loss of a week of class time), assignments and exams (e.g., how tocomplete and submit, how exams would be administered), and class policies (e.g., attendancepolicies adapted around internet connection, what class participation looked like, if webcamswere required, data privacy concerns, etc.). We displayed new online course layouts, showedstudents
, large-enrollment FYE coursesIntroductionEngineering design principles and processes are foundational concepts across the engineeringdisciplines [1]–[7]. From a professional development perspective, open-ended design projects,which are frequently conducted in team-based settings, offer students a scaffolded apprenticeshipwith opportunities to engage in collaborative planning and work akin to that of the workforce.From a pedagogical perspective, they require students to think critically about a wide range ofengineering concepts and to complete a variety of practical tasks related to learning objectives.Team-based learning through design projects provides students with technical and non-technicalmastery experiences
presents a 1-minute pitch on their goals and interest. Industry members then begin a coaching exchange and interaction with the dinner group. In the second round, students move to a second industry table and present a 2-minute review of their resume and skills sets. Industry guides the table interaction around their company’s business and coaching on career planning and corporate culture.Program ResultsThe CTP and CALC activities shaped an ecosystem of self-efficacy and belief in academicachievement among the freshmen that mirrors the collective peer behavior of upper divisionstudents.The participation of students in the NSF BEATS Program from the programs beginning is listedbelow. The table below indicates the number of
satisfied. The students found thetrainers easy to use with very few issues. Figure 5 shows the trainer kit, which includes a smallbag, flat blade screwdriver, and programming cable.Figure 5: CLICK PLC Trainer KitThroughout the fall semester, there were instances where students took the trainers home tocomplete labs or because they had to quarantine. These events alone justified all the effort putinto designing and fabricating the trainers.All the requirements established for the trainer were met by this design.All labs involving the trainer met their success criterion.One thing that this trainer lacks that the previous one had is a touchscreen HMI. As mentionedpreviously, the HMI was not included due to budget reasons. It is planned to add an HMI
mechanical engineering department once they areofficially admitted into the ME program. Our S-STEM program provides extra faculty mentoringand the scholars are encouraged to meet their faculty mentors when needed to discuss not onlytheir academic progress, but also their future career plan and personal issues. Most of thescholars had talked to their faculty mentors more than three times each semester, suggesting thatthey felt comfortable to discuss issues they had with the faculty. Peer mentoring is adepartmental program open to all undergraduate students. The ME S-STEM scholars arerequired to join the peer-mentoring program to serve as either a mentor or a mentee. Students inthe peer mentoring program meet regularly during semesters. The ME S-STEM
second task was tocopy the accepted abstract to another document. It is nearly impossible to not accomplish eithertask. Yet, if a task is missed, it is not the end of the world. Breathe and continue with the nexttask because first of all, the tasks are planned clearly and they are small-sized and doable!I experienced not being disappointed in myself, because I knew I had accomplished multipletasks before- no matter how small, and one non-accomplishment would not define my progress. Ibelieved that I could self-regulate my thoughts after completing tasks to obtain more and moreself-efficacy. Hence, seeing that I have already completed the first two tasks, I felt moreconfident instantly to accomplish more tasks.Next, I started thinking about how I
Population- video on-line Biodiversity Barriers 10. November 30: Building a Model of a Reserve- video on-line 11. December 7: Fragmented Habitats- video on-line 12. Dec 14 Review and assessmentsFigure 1.1COVID-19 Revised Curriculum/Lesson Plans-Online videos with access to worksheets andsurveys.Revised Research Methods This curriculum was supported by online video lessons and activities, and weeklyrecorded Zoom calls with all students and our team to discuss the work. Our university InternalResearch Board required a revised n and signed consent/assent forms to allow online learningand research. Interviews and surveys were mostly
at Wright College who do not participate in co-curricular activitiesC) Wright College alumni who are currently at 4-year institutionsD) Wright College alumni who graduated from a 4-year and are already in the workforce orgraduate program 3. Data Collection through different organizationsDifferent organizations will also contribute to data collection by providing the researchers withstudent attendance and participation in their organization-sponsored events. All data collectedwill be correlated to self-efficacy and student success. 4. AnalysisAll data collected will be deposited and managed according to the Data Management Plan of theNSF-HSI project. The data will also be analyzed while correlation studies are evaluated usingMicrosoft
participant remained in engineering and graduated, but was looking for ways to combinetheater and engineering. The student planned to pursue a graduate degree in technical directing.Discussion and Future WorkWhile the themes manifested themselves in similar ways across the two institutions, one themehighlighted differences between institutions with respect to matriculation pathway (direct versuscommon first year program matriculation). The common first-year students described limitationsin their choices for majors after they completed their common first-year experience. Commonfirst-year engineering students had to apply to and be admitted to engineering majors.Limitations occurred due to competitiveness for engineering majors as part of the
conclusion, this work in progress paper presented the design and implementation of an age-appropriateafter-school program for middle school students. Our experiential learning-based approach providedstudents with a unique opportunity to learn fundamental concepts about advanced manufacturing in anengaging way. This pilot offering served a small, but diverse cohort from the Worcester public schooldistrict. Plans for subsequent offerings are in place to extend its reach to more students, in underrepresentedcommunities.AcknowledgementsThe authors acknowledge the support of the WPI students and manufacturing lab instructors for theirassistance in facilitating the program sessions. The authors also acknowledge the following WPI personnel– Sue Sontgerath
differences lead to inequitable practices within teams such as unfair distributionsof the workload or type of work, often in problematic ways. For example, active and dominantstudents might advocate for themselves to take on the more challenging and interesting parts of aproject, leaving the more mundane and menial work to their passive teammates. Mix-genderedteams in engineering education have been found to have unbalanced work distribution: womenmay do more work related to planning or communication, while men may do more technicalwork [1]. Such disproportionate allocation of work and assumption of roles lead to studentsobtaining unequal gains from team projects, for which the more active student might have hadthe more enjoyable and useful
collected online, which greatly streamlines datacapture.We plan to apply the same analyses described here to the new set of student questions collectedduring the Spring 2021 semester, such that we can make final adjustments to the taxonomybefore using it as part of our full intervention in Fall 2021.References[1] P. H. Winne, “A perspective on state-of-the-art research on self-regulated learning,” Instr. Sci., vol. 33, no. 5, pp. 559–565, Nov. 2005, doi: 10.1007/s11251-005-1280-9.[2] A. C. Graesser and N. K. Person, “Question asking during tutoring,” Am. Educ. Res. J., vol. 31, no. 1, pp. 104–137, 1994, doi: 10.2307/1163269.[3] H. Pedrosa De Jesus, J. J. C. Teixeira-Dias, and M. Watts, “Questions of chemistry,” Int. J. Sci. Educ., vol. 25
Paper ID #32692The Virtues of Teamwork: A Course Module to Cultivate the Virtuous TeamWorkerDr. Michael D. Gross, Wake Forest University Dr. Michael Gross is a Founding Faculty and Associate Professor of Engineering and the David and Leila Farr Faculty Director of the Center for Entrepreneurship at Wake Forest University. He is part of the team that is planning, developing, and delivering the brand new Engineering program, a program viewed as an opportunity to break down silos across campus and creatively think about reimagining the undergraduate engineering educational experience, integration and collaboration across
knowledge (Streveler, Litzinger, Miller, & Steif, 2008). They may be best describedas “research-based distracter driven multiple-choice instruments” (Lindell, Pea & Foster, 2007,p. 14) featuring multiple-choice questions designed to test students’ understanding of concepts,while making use of incorrect ‘distracter’ solutions as options to highlight common studenterrors and misconceptions.Touted as a unique tool of assessment finding utility in both the summative evaluation of studentlearning as well as in the formative planning of instructional design (Reed-Rhoades & Imbrie,2008), concept inventories are gaining increasing prominence within engineering education. Themost well-known of these is the Force-Concept Inventory (FCI) that was
Instruction” in conjunction with overlays of FredRogers’ and Benjamin Bloom’s contributions in the production and delivery of digital lessons.Gagne has created a standard for instruction that provides both a framework for building a solidlesson plan and a foundation for evolving numerous learning theories. Though Gagne is rarelyincluded in constructivist discussions, the melding of Gagne’s vision with constructivist ideologyin a quest to best support digital learners provides an enticing blueprint for the 21st centuryclassroom.Marcy Driscoll’s close association with Gagne provides a seemingly dichotomous message inPsychology of Learning for Instruction [1], yet Dr. Driscoll’s turmoil proved an effectiveincubator for creation of a new learning theory
interfaces betweenlegacy robotic devices and the environment or the other machinery in work area. Wireless sensorplatforms that can sense the changes in work environment share their sensor observations withthe robot control system by storing the information over the cloud. A replacement for the robotcontrol system that has networking capability can read the sensor’s data from the cloud andcontrols the motion of the robot, accordingly.This in-progress project was implemented in four phases that will be discussed throughout themanuscript. These phases are i) planning for the required sensing and communication, ii) designapproach for data storage and visible cognitive computation, iii) using an industrial hardwareplatform with networking facilities
performedbetween Fall 2020 and Fall 2019 class.Conclusions and DiscussionsThe data from laboratory courses taught during Fall 2020 by various instructors of Indiana StateUniversity indicate two main points. 1. During pandemic (Fall 2020), instructors have successfully adapted the laboratory courses to conduct almost all the laboratory experiments as conducted pre-pandemic. 2. The comparison of grades for laboratory course taught pre-pandemic (Fall 2019) and post-pandemic (Fall 2020) also indicates that the student performance for these courses has not been affect during a planned semester while observing the precautions for pandemic.Other observations of this data are: • Indiana State University has small class sizes which
containing information about the victims (age, race, sec), date and time of the crime, etc.;motor vehicle collisions; Housing Preservation and Development (HPD) data set on buildings,units, and projects that began after January 1, 2014 and are counted towards the Housing NewYork plan; New York Air Quality data set; etc.After the completion of the project, the students wrote a report describing what they learned,what conclusions can be made based on this data. Student enthusiastically discussed theirfindings, and the semester concluded in a lively and productive discussion about the importanceof data analysis for the understanding of the city day-to-day life, problems. At the same time, thestudents learned about the importance of the broad and, at
Resources Engineering. She has worked with the Rising Scholars’ Program during the completion of her Master of Science in Agricul- tural and Biological Engineering and into her current Ph.D. program at Purdue University also in ABE. As part of the Rising Scholars’ program, she has helped plan and organize the student recruitment events, align students with summer research experiences and faculty mentors, and conduct student interviews for program analysis and evaluation. Ms. Baldwin has actively contributed to the collection and analysis of data for the Rising Scholars program, as well as the dissemination of information about the progress of the program.Sarah LaRose, Purdue University at West Lafayette
process for developing a FMEA. Theprocess begins with gathering experiential data and requirements. If the design is new then thenext step is to postulate failure modes. If there is existing data, then that data is accessed.Regardless of which data is used, the next step is to complete a failure latency analysis, or a faulttree. Finally, the FMEA is documented and reported.The process for developing a FMEA in ARP5580 begins with identifying when the FMEA is tobe developed and what type of FMEA is to be completed. During system design there aremultiple types of FMEA to be completed at different points of the development schedule. Duringthe conceptual design the effort is focused on planning. Moving into the preliminary stage afunctional analysis
practicing engineers become licensed but this percentage increases to 50 percent for civilengineers [4]. There are many advantages to becoming a PE. For example, engineering plans anddrawings can only be signed and sealed by a PE no matter if the engineer works in the public orprivate sector [5]. Those engineers who do earn PE licenses have more professionalopportunities, responsibilities, and prestige [6]. According to a 2019 article based on a survey bythe American Society of Civil Engineers, PEs earn higher salaries than non-PEs [7].The Accreditation Board for Engineering and Technology, Inc. (ABET), a non-governmentalorganization, accredits post-secondary education programs in engineering. ABET accreditation isverification that a collegiate
technical development and an afternoon session focused onprofessional development. Lesson plans were scheduled five days a week during a regular workweek. Fig. 1. Major technical and professional topics introduced in the five-week program.In the technical session, important topics such as Python, microcontroller and circuit basics,machine learning, 3D modeling, PCB design, and app development were covered. These topicswere selected as they lend themselves to preparation for certain advanced coursework in thedepartment curriculum. In the professional session, networking, resume building, industry andfaculty interaction, campus resources, mock interviews were introduced in the form of guestspeakers or workshops. In the last week of the program
it atry.I felt a sense of culture shock becoming a new assistant professor at an R1 university as a 26-year old. I was burnt out from my PhD, having defended and finalized by dissertation in Augustimmediately before coming to Ux. The department didn’t seem very welcoming. From thefaculty search that hired me, two people were hired - myself and a Hispanic male. Thedepartment got an extra faculty line since perhaps we both qualified as ‘diversity hires.’ Somefaculty in the department seemed to resent that. And the resources planned for the position (labspace, funds) were simply cut in half. I felt somewhat alone, and a message of ‘sink or swim’was conveyed by the department chair and many faculty. I certainly didn’t feel that I belonged. Ifelt
done in the near future we hope to bringfurther clarity to our observations and within the limits of our study design we intend to generatepractical insights on the improvement of teaching and learning in these courses. We also plan tocarry on this study in Fall 2021 and collect further data from students who have taken ourcourses and their assessments for the first time in Fall 2020.References[1] Brown, P. C., McDaniel, M. A., Roediger, H. L. Make It Stick. United Kingdom: HarvardUniversity Press, 2014.[2] Conway, M. A., Cohen, G., & Stanhope, N. (1991). On the very long-term retention ofknowledge acquired through formal education: Twelve years of cognitive psychology. Journal ofExperimental Psychology: General, 120(4), 395–409.https
explore their development within theprogram. The broader impacts of the project include a planned workshop with findings from theproject for future research and collaborations. Selected narratives from the 19 students will bepresented to engineering programs to highlight ways in which academia can supportunderrepresented students centered around an asset-based approach.AcknowledgmentFunding was provided by National Science Foundation grant EEC-1827377.References[1] C. C. Samuelson and E. Litzler, “Community cultural wealth: An assets-based approach to persistence of engineering students of color,” J. Eng. Educ., vol. 105, no. 1, pp. 93–117, 2016, doi: 10.1002/jee.20110.[2] J. M. Smith and J. C. Lucena, “Invisible innovators: how low-income
thestudents. The students’ responses revealed that they were lacking the key insights bornegenerally out of experience or deep mechanical understanding.The results of this initial study reframed the focus of the work to include the development ofthese engineering insights in future PBL problems. Judiciously planned and discussed homeworkor in-class assignments could also provide guidance to move the students’ phase 1 models closerto the “expert” model found in the JN. The wide range of approaches taken by the students in thePhase 1 was revealing in that the original problem statement was potentially too broad in topicfor students at this level. Including specific instructions for the students to use their engineeringknowledge to evaluate the scenario