access to the same TAs, the sameprofessor, and the same resources.Project Managers: Project managers consisted of upper-level BME students who had previouslytaken and passed Intro to BME with a grade of B or above. During each semester (Fall 2019 andFall 2020), 12 students took the Application in Project Management and Mentorship in BMEcourse. Fall 2019 was conducted face-to-face and Fall 2020 was virtual.Survey: A survey was developed and conducted at the end of each semester. Survey containedquestions about demographics followed by 5-point Likert questions broken down into 3categories, self-efficacy, teamwork, and stress (1=Strongly Disagree to 5=Strongly Agree). 81students (68.6%) and 45 students (56%) responded to the survey in Fall 2019 and
engineeringeducation during COVID-19 pandemic.” ORMS Today Informs Membership Magazine, 2020.Available: https://pubsonline.informs.org/do/10.1287/orms.2020.06.10/full/[3] Y. Lambrinidou & M. Edwards, “Learning to Listen: An Ethnographic Approach toEngineering Ethics Education,” ASEE, 2013, Paper ID# 8224.[4] E. A. Cech, “Culture of Disengagement in Engineering Education?,” Science, Technology, &Human Values, 39(1) , pp. 42-72, 2014.[5] M. F. Young, S. Slota, A. B. Cutter, G. Jalette, G. Mullin, B. Lai, & M. Yukhymenko, “Ourprincess is in another castle: A review of trends in serious gaming for education”. Review ofEducational Research, 82(1), pp. 61-89, 2012.[6] D. G. Johnson, “Can engineering ethics be taught?” Yale University Press Blog, June 4
, UT, June 2004.[6] S. Kaul, C. W. Ferguson, P. M. Yanik, and Y. Yan, “Importance of undergraduate research: Efficacy and student perceptions,” in Proceedings of the ASEE Annual Conference, New Orleans, LA, June 2016.[7] K. Patsavas and B. S. Caldwell, “Exploring the development of undergraduate research experience,” in Proceedings of the ASEE Annual Conference, Indianapolis, IN, June 2014.[8] A. Ieta, R. Manseur, and T. E. Doyle, “Development of an undergraduate research laboratory,” in Proceedings of the ASEE Annual Conference, Vancouver, B.C., June 2011.[9] D. G. Dimitriu and J. O’Connor, “Initiation of an undergraduate research program,” in Proceedings of the ASEE Annual
. Table 1 Assignment 1 – In-class tasks Tasks/Questions Response/Action Results/Methods a) I have no idea a) 0% b) Yes, it is exactly the same Do you think the number of M&Ms in each b) 0% c) Yes, it is same with a bag is the same? c) 50% reasonable difference
bycolleagues (Amber Diaz Pearson, Stacy Tantum) at Duke University as a part of a larger effort tomeasure ethical awareness. This instrument asked more practical questions around safety, designdecisions, regulations, etc. Thirty questions were sourced from this survey and are found inAppendix B. Students selected a level of agreement using a six-point Likert scale, which rangedfrom strongly disagree to strongly agree. In all, the instrument consisted of 47 multiple choicequestions and took ~10 min to complete. The survey was conducted under the Duke Universityapproved IRB Protocol 2021-0134.We recognize that other changes may be occurring during a student’s first year on campus,although these are factors that cannot be controlled. The Fall 2020
extra credits earned fromcompleting the modules. Therefore, the original final score is the reflection of their overallacademic performance in the course. Based on their original final score, students were assignedletter grades from A+, A, A-, B+, B, B-, C+, C, C-, D+, D, D-, to F. We use the standard cut-offsof 97 / 93 / 90 / 87 / 83 / 80 / 77 / 73 / 70 / 67 / 63 / 60 when assigning letter grades. To simplifyour analysis, students were divided into three groups based on their original final letter grade torepresent three different levels of course performance. Students who had original final lettergrades of A+, A, and A- belong to Group 1; those with original final letter grades of B+, B, andB- belong to Group 2; and the rest (with original
preparation for the oral proficiency exams. The negative skew in the Figure1(b) histogram and the mean quantified value of 2.86 support a moderate increase in studentreported motivation for independence in their work in preparation for the oral proficiency exams.Furthermore, student responses to these two questions are moderately correlated, with a highlysignificant (p-value of 1.91 ´ 10-36) correlation coefficient of 0.635. Thus, students who report anincrease in motivation to achieve a deeper understanding of the material due to the codinginterview intervention are also more likely to report approaching their work with higher levels ofindependence as a result of the oral proficiency exams. The coding interviews
, Student 6noticed missing representations in their conceptual model. Students 5 and 12 expressed theyadded additional descriptive details to their models like parking lots, arrows, words, andsediment to their second models. While noticing details and context is important to anyengineering design activity, the way in which quality was determined showed that many students(27/39 students for pictorial quality and 23/39 students for numerical quality) did not change inquality. Below we provide the conceptual models of Student 5, shown in Figure 4. (a) Before activity (b) After activity Figure 4: Conceptual models of Student 5Student 5’s conceptual model before the peer comparison
represented in research into the STEM gender gapand is inextricably tied to the creation of science identity [20]. Self efficacy strongly predictsacademic performance, choice of college degree, and persistence along that career path [1], [6],[21].MethodsThis study aimed to collect qualitative data on high school junior and senior girls related to thedevelopment of their STEM identities. I explored the lived experiences of these girls as theydefied gender stereotypes and created a STEM-specific identity, through interviews, focusgroups and observations in a fine-grained, qualitative analysis. Participants who satisfied each ofthe following criteria were sought: a) an 11th-12th grade girl, who b) was actively participating ina STEM club and c
Paper ID #34723Investigating the Effects of CERA on Design Requirement DetailDr. Malena Agyemang, Clemson University Dr. Malena Agyemang is a recent Ph.D. Graduate from Clemson University’s Department of Mechanical Engineering. Her dissertation research focused on how culture is regarded in the development of design requirements. Her research interests lie at the intersection of engineering, human-centered design, devel- opment, and human factors. The goal of Dr. Agyemang’s research is the investigation, development, and improvement of design methodologies, innovative technologies, and systems with cultural, social, and
, M. Hamilton, and S. Adams, “Creativity in Electrical Engineering Degree Programs: Where Is the Content?,” IEEE Transactions on Education, vol. 62, no. 4, pp. 288–296, 2019. [2] D. V. Kerns, S. E. Kerns, G. A. Pratt, M. H. Somerville, and J. D. Crisman, “The search for design in electrical engineering education,” Proceedings First IEEE International Workshop on Electronic Design, Test and Applications '2002, 2002. [3] J. Rohde, L. Musselman, B. Benedict, D. Verdin, A. Godwin, A. Kirn, L. Benson, and G. Potvin, “Design Experiences, Engineering Identity, and Belongingness in Early Career Electrical and Computer Engineering Students,” IEEE Transactions on Education, vol. 62, no. 3
?Students experience a rhythm of class-homework-class-homework etc. But a flipped class musthave class-homework-prep-class-homework-prep etc. Students ask, “What’s my homework?”Teachers answer, you need to do these problems AND this prep before the next class.A course designed around days obscures the need to do both the homework problems and thepreparation for the next day. For example, does the preparation for Day 6 go with Day 5 or Day6? If it’s with Day 5, the preparation material is hard to find when reviewing Day 6 material. Butif it’s with Day 6, it doesn’t look like homework to do on Day 5. Appendix B shows apreliminary sketch from the team showing the learning objects with various break points.We decided to leave the prep work with the day
adjust to the distance learning mode include: a) decomposition of the course context into three modules and clear specification of the corresponding learning objectives of each module; b) combination of different technologies to create friendly and inclusive learning environment; c) frequent assessment of students' performance via online quizzes/tests; and d) carefully- designed laboratory assignments via MATLAB simulations that are able to demonstrate the entire feedback control process. A comparison of students' performance under the traditional face-to-face learning mode and the new distance learning mode is conducted. Based on assessment results, we will evaluate the effectiveness of our current teaching methodology/plan developed
asked to reflect on their experiences using the followingquestion:How often have you been in courses where some educational technology tools, especiallymobile applications, have been used? Tell us something about your experience. a. Please state the name of the application(s) or other technology tools (e.g., Clicker, CATME, Socrative, Any quiz software, etc.). b. What you liked about that application(s) and why? c. What you didn’t like and why? d. Were those applications academically relevant? If yes, why, if no, why not?Data AnalysisThe study focuses on exploring the students’ perceptions of using educational technology toolsin postsecondary STEM classrooms. To inform our study, we employed
to protect the identity of the participants. Table 2: Distribution of participants and school type for the four small colleges School Type Size Number of student participants "College A" Predominantly 2,000-2,500 8 Non-Engineering students enrolled (1 nonbinary, 3 (PNE) women, 4 men) "College B" Balanced/Religious 2,000-2,500 9
significant. The uniqueconditions of the spring, with students at our institution leaving campus and course instructionrapidly shifting to remote/online delivery, could certainly affect student responses, but it isinteresting to observe that the two cohorts appear to be impacted differently. a a (a) (b)Figure 1. Average student survey ratings of (a) chemical engineering self-efficacy and (b) coping self-efficacy forthe 2019-2020 academic year. Error bars indicate the 95
intentions of themodules and teaching about SLO: 0 Defines the SLO as an actual license from the government or “I don’t know” 1 Considers the SLO is abstract, but more transactional than consistent approval 2 Centers community acceptance or approval of a business or project in the definitionAfter scoring, we compared the pre- and post- survey responses. We identified emergent themesfrom the written definitions and noted some changes in these definitions.10. How does a company best know it has a social license to operate? A. It receives a permit from the appropriate local government authority. B. The community does not protest the company. C. Employees regularly talk with stakeholders to hear their views. D. I don’t know.We
Statistics: United States”, Disabled World, 2018. Available: https://www.disabled- world.com/disability/statistics/mobility-stats.php4. S. Warren, “Student Proposals for Design Projects to Aid Children with Severe Disabilities” Paper presented at 2016 ASEE Annual Conference & Exposition, New Orleans, Louisiana, 2016. 10.18260/p.259265. M. M. Das, S. B. Lee, L. H. Lineberry, C. A. Barr, “Why Inclusion Programs are Beneficial to Students with Disabilities and How Universities can Help: Perspectives of Students with Disabilities” Paper presented at 2018 CoNECD - The Collaborative Network for Engineering and Computing Diversity Conference, Crystal City, Virginia, 2018. Available: https://www.jee.org/295936. D. Gibson, P. Brackin
Paper ID #33674BYOE: An Evaporative Cooler with Virtual ConnectivityProf. Ahmet Can Sabuncu, Worcester Polytechnic Institute Dr. Sabuncu holds a Ph. D. in Aerospace Engineering from Old Dominion University. Dr. Sabuncu’s professional interests spans from engineering education research, history of science and engineering, thermo-fluids engineering, and microfluidic technology. Dr. Sabuncu is eager to discover next gener- ation workforce skills and to educate next generation of engineers who will carry industry 4.0 forward considering the needs of the global world.Prof. John M. Sullivan Jr, Worcester Polytechnic Institute
. E. Coate, “TQM on campus: Implementing total quality management in a university setting.,” Bus. Off., vol. 24, no. 5, pp. 26–35, 1990.[4] L. R. Lattuca, P. T. Terenzini, and J. F. Volkwein, “Engineering change : A study of the impact of EC2000,” Exec. Summery, pp. 1–20, 2006.[5] P. E. Maher, J. L. Kourik, and B. O. Akande, “Achieving quality, excellence, and consistency in a global academy,” in PICMET 2010 TECHNOLOGY MANAGEMENT FOR GLOBAL ECONOMIC GROWTH, Jul. 2010, pp. 1–7.[6] M. Zahraee, G. Neff, and S. Scachitti, “Continuous Improvement Of Engineering Technology Programs Coming Soon To A University Near You,” St. Louis, Missouri, Jun. 2000, p. 9. Accessed: Jun. 09, 2020. [Online]. Available: https://peer.asee.org
. Wenk B. Lee J.Q Brown, M. Wang. High-area-throughput automated gigapixel imaging of whole prostate tumor resection surfaces using structured illumination microscopy. SPIE Photonics West - BIOS, pages 9313–15, 2015. [7] Computing Research Association. Generation cs: Computer science undergraduate enrollments surge since 2006, 2017. URL https://cra.org/data/Generation-CS/. [8] Miran Lipovaca. Learn You a Haskell for Great Good!: A Beginner’s Guide. URL http://learnyouahaskell.com/. [9] Alex Edgcomb, Frank Vahid, and Roman Lysecky. Students learn more with less text that covers the same core topics. In Proceedings of the 2015 IEEE Frontiers in Education Conference (FIE), FIE ’15, pages 1–5, Washington, DC, USA, 2015. IEEE
remotely on their year-long projects at the end of August. The mid-termpresentations were held on January, 2021 and it appeared that all students were making very goodprogress. Advisors meet with students weekly over ZOOM. While everyone is looking forward toreturning to our traditional format, we have all adjusted and I really believe that this year’s programis running as well as it would under traditional circumstances.References[1] ”Envisioning the Data Science Discipline: The Undergraduate Perspective: Interim Report” National Academies Press: OpenBook, https://www.nap.edu/read/24886/[2] Berman, F., Rutenbar, R., Hailpern, B., Christensen, H., Davidson, S., Estrin, D., aˆ Szalay, A. S. Realizing the potential of data science
from Malaysia,” Phys. Medica, vol. 80, no. July, pp. 10–16, 2020.[4] V. Singh, M. T. Khasawneh, S. R. Bowling, S. Kaewkuekool, X. Jiang, and A. K. Gramopadhye, “The evaluation of alternate learning systems in an industrial engineering course: Asynchronous, synchronous and classroom,” Int. J. Ind. Ergon., vol. 33, no. 6, pp. 495–505, 2004.[5] M. D. Roblyer, J. Freeman, M. B. Donaldson, and M. Maddox, “A comparison of outcomes of virtual school courses offered in synchronous and asynchronous formats,” Internet High. Educ., vol. 10, no. 4, pp. 261–268, 2007.[6] S. Morimoto et al., An Empirical Report of Project Based Learning with Asynchronous and Synchronous e-Learning* *This work was supported in
workshop A pilot teacher training workshop was facilitated via video conferencing. The teacherworkshop was led by developers of the curriculum. The workshop lasted for 8 hours over 4 dayswith assignments between each session. Prior to the workshop, the toolkit and all prototypingmaterials weremailed to theteacher. Outside ofthe workshop, Mr.Bergandine spent~10 hourspreparing totranslate theworkshop to Figure 2. Teacher presenting (a) clay and (b) cardboard prototypes in the actuator design lesson of the teacher workshop.students. Hereported that this would be a typical amount of time for him spent preparing new material for hisclasses. The teacher participant reviewed all lessons and completed the toolkit
. Note that different faculty members served on the professional advisory board in thefall 2019 vs fall 2020 year. The 194 students in the fall 2020 class (M = 92.29, SD = 3.39)compared to the 181 students in the fall 2019 class (M = 89.46, SD = 3.39) demonstratedsignificantly better final grades, t(358) = 7.3, p < .001. However, the grade difference is small(A- vs B+), and the delta between means (2.82%) indicated the grades could have fallen in samegrade range.Peer Evaluations:Figure 2: Critical design review team grades vs individual peer evaluation scores for the senior projects for thefall 2020 and fall 2019 semesters.Each team’s critical design review grade vs the individual peer evaluation scores for each teammember are shown in Figure
engineering design self-efficacy (EDSE) scale[5] within the context of pre-college engineering education.Self-efficacy refers to individuals’ belief in their capabilities to perform a domain-specific task[6]. According to Bandura’s self-efficacy theory [6], self-efficacy plays a significant role inguiding human action and change by having mediating influence on individuals’ interest inparticular tasks, persistence in the face of obstacles, choice of behavioral activities, and taskperformance [6]. Bandura hypothesized that self-efficacy within specific domains can bedeveloped by four primary sources of information: (a) performance accomplishment or masteryexperiences (i.e., previous successes and failures on similar tasks), (b) verbal or social
objects with wireless controllers.To study the problem-solving of engineering students, we invited them to complete someassembly tasks. Assembly tasks given to students involved the assembly of car toys according toa set of customer requirements as shown in Figure 3. Students needed to minimize the total costof car toy assembly while satisfying customer requirements. Hence, the assembly task consists offour main functions: design, sourcing, manufacturing, and inspection.Figure 2. Workstations in VR learning factory: (a) component selection station; (b) base station; (c) roof station. Figure 3. Examples of customer requirements for the car toy assembly.Once students entered the VR learning factory
, “Beginnings - Hybrid-Flexible Course Design.” https://edtechbooks.org/hyflex/book_intro (accessed Sep. 07, 2020).[3] B. J. Beatty, “Hybrid-Flexible Course Design Costs and Benefits for Hybrid-Flexible Courses and Programs Is the value worth the effort associated with Hybrid-Flexible course implementation? When is implementing a Hybrid-Flexible course worth the cost? The Value of a Student-Directed Hybrid,” EdTech Books, 2019.[4] “School closures caused by Coronavirus (Covid-19).” https://en.unesco.org/covid19/educationresponse (accessed Sep. 07, 2020).[5] C. R. Kinlaw, L. L. Dunlap, and J. A. D’Angelo, “Relations between faculty use of online academic resources and student class attendance,” Computers and
concentration distribution of chocolate in milk within the tube over the entire radius and length of the tube. (a) Plot this concentration distribution against z and r in a properly labeled surface plot. (b) What are the following chocolate concentration values, to four significant digits? - Midpoint of the tube length, and at r = 1 cm - End of the tube length (z = 20 cm), and at center of tube (c) What is the average concentration of chocolate in the milk exiting the tube?Each of the questions (a) through (c) are answered by solution of the PDE provided, andaccording to the initial and boundary conditions described. The first steps of specifying problemgeometry and dimensional
outframing members; assembling frame members and attaching plywood (nailing and bolting);installing strap ties, holdowns, and anchor bolts; and fabricating a connection beam to theactuator. The images are provided to demonstrate the scale of the project and extent of studentinvolvement. (a) Laying out framing members (b) Nailing framing members (c) Rotating wall to attach plywood (e) Installing holdowns (d) Attaching plywood and strap ties Figure 2. Timber Shear Wall Specimen FabricationExperimental TestingLaboratory Facility: Specimen fabrication and testing took place in the CAED High Bay Lab,shown in Figure 3, where there is a 3-ton