Paper ID #33711Assessing Elementary Students’ Engineering Design Thinking with an”Evaluate-And-Improve” Task (Fundamental)Nicole Alexandra Batrouny, Tufts University Nicole Batrouny is a PhD candidate in Mechanical Engineering at Tufts University. Her engineering education research interests include upper elementary engineering education, integrated science and en- gineering, collaboration in engineering, and decision making in engineering. For her Master’s thesis, she uncovered talk moves used by 4th grade students that fostered collaborative, disciplinary decision-making during an engineering design outreach program. For
-workforce.[10] A. Doucet, J. Evers, E. Guerra, N. Lopez, M. Soskil, and K. Timmers, Teaching in the fourth industrial revolution: Standing at the precipice. Routledge, 2018.[11] C. B. Frey and M. A. Osborne, "The future of employment: How susceptible are jobs to computerisation?," Technological forecasting and social change, vol. 114, pp. 254-280, 2017.[12] R. Morrar, H. Arman, and S. Mousa, "The fourth industrial revolution (Industry 4.0): A social innovation perspective," Technology Innovation Management Review, vol. 7, no. 11, pp. 12-20, 2017.[13] S. G. Cort, "Industry corner: industrial distribution: how goods will go to market in the electronic marketplace," Business Economics, pp. 53-55, 1999.[14] E. National
Paper ID #33908Exploring Student Academic Motivation and Perceptions of Teamwork andCommunicationMr. Hamidreza Taimoory, Virginia Polytechnic Institute and State University Hamid is currently a Ph.D. student in the Engineering Education program and a Master’s student in Man- agement Systems Engineering. He likes to utilize his quantitative and engineering knowledge to conduct research to encourage young people to pursue the engineering field.Dr. David B. Knight, Virginia Polytechnic Institute and State University David B. Knight is an Associate Professor in the Department of Engineering Education and Special As- sistant
soldering, we needed to use a lab room rather thanthe usual classroom. Such classroom change was announced in the previous class in person,posted on LMS, and via emails typically at the beginning of the week as a reminder.The instructor who showed up to the classroom might be one of the three instructors, but notnecessarily the home teacher all the time. The students did not need to change their plan when adifferent instructor showed up. The instructors just needed to explain how team-teaching worked.Given the limited room capacity during the COVID-19 pandemic, the students from each sessionwere partitioned into A and B groups. Depending on how much content needed to be delivered inperson, some classes were on the AB-Potion schedule, when A group
diagrams, II, III, and IV, are required for a complete internal force analysis over the full length of the beam.I-2 Free-Body Diagrams. Free-body diagrams are shown in Figure 2. Free-body diagram I is drawn to calculate the support reactions. The supports at A and D are smooth self-aligning bearings, which exert no bending or torsional couples. All unknown internal forces and couples have been assumed in their defined positive directions: normal force: tension, shear force: clockwise moment, and bending couples: positive curvature. Free-body diagrams II, III, and IV, define the internal force system within each of the three continuous loading regions, A-B, B-C, and C-D, respectively. Figure 2. Free
Introduction to Programmable ControllersCh. 22 Fundamental PLC ProgrammingCLICK Programming Software – Getting StartedAutomationDirect C0-USER-M User ManualAutomationDirect CLICK Programming Software Help FileEquipmentCLICK PLC TrainerProgramming CablePC with CLICK Programming SoftwareThumb Drive or Cloud StorageProcedureFor each part below, create a new project. Name your project files as “Lab3-.ckp”. ForPart 1, the project name will be “Lab3-1.ckp”.Create a PDF (print to PDF) of each ladder logic program named “Lab3-.pdf”. For Part 1,the PDF name will be “Lab3-1.pdf”.For Parts 1, 2, and the Bonus, use the nicknames defined in Table 1. The nicknames for Part 3are defined in that section. Address Nickname X101 A X103 B X105 C Y201
analyze theseindicators of student success, we consider student concept inventory performance, course lettergrades, and course percentage grades.Correlation to Student SuccessThe concept inventory covers topics that our students would have seen in both the prerequisiteStatics course and the Strength of Materials course. This makes a comparison between the pretestconcept inventory score and student Statics grades relevant (see Figure 1). Note that these gradesare listed numerically; 4.0 is an “A” grade, 3.5 is a “B” grade, and so forth to 2.0 as a “C” grade.Because the Strength of Materials course prerequisite requires that students pass Statics with a “C”grade, there are no grades lower than 2.0 on the horizontal axis of Figure 1
, developing, andmaintaining the online platform through which the Parsons Problems were offered to students.References[1] B. W. Char and T. T. Hewett, “A first year common course on computational problem solving and programming,” ASEE Annu. Conf. Expo. Conf. Proc., 2014.[2] R. Bualuan, “Teaching computer programming skills to first-year engineering students using fun animation in Matlab,” ASEE Annu. Conf. Expo. Conf. Proc., 2006.[3] D. Ronan and D. Cenk Erdil, “Impact on computing attitudes and career intentions in a rotation-based survey course,” ASEE Annu. Conf. Expo. Conf. Proc., vol. 2020-June, 2020.[4] Code.org, CSTA, and ECEP Alliance, “2020 State of Computer Science Education: Illuminating Disparities,” 2020.[5
theclass. The quantitative parameter identified to be the most closely related to this criterion was therate of success of students in the subsequent courses following statics (e.g., strength of materials,dynamics).Step 2: AnalysisA root-cause analysis was subsequently undertaken once the two quantitative criteria wereidentified. This analysis led to the following conclusions: 1. The high non-completion rate is likely linked to: a. The pace of the course, which may not correspond to the preparedness of the students entering the course. b. Inconsistencies in the grading practices of instructors teaching the course. c. Instructor-centric pedagogies. 2. The inadequacies of students’ statics knowledge and
course is to provide detail as to what is involved in pursuing an engineeringeducation as well as the subsequent career. The target audience is secondary students that areconsidering engineering as a major and career as well as anyone in the advisory role of suchstudents such as school counselors, teachers, parents, family, or other influencers.Following is the high-level instructional design hourly layout for the course [1]: 1. Explore industry sectors, highlighting various majors involved in each. a. Link to many platforms with existing engaging multimedia products. b. Identify key common foundations for engineering roles. c. Spotlight specific engineering actions in each sector. d. Acquire or create media of
differenttypes of digital manufacturing technology. El-Mounayri and Aw et al. [2] had developed a virtualmanufacturing laboratory of CNC milling. The laboratory environment provided the students: (a)access to a fully-functional virtual CNC milling machine, (b) training on the key operations of theCNC machine, (c) a lecture describing the components of the milling machine, and (d) a lecturedescribing the concepts of CNC milling. This virtual CNC machine was enabled by three softwaremodules: (1) a CNC Milling machine simulator, (2) a virtual-environment display engine, and (3)an intelligent-agent engine. The three modules was running on a single computer in a seamlessweb-based framework, which allowed students to access and run the virtual CNC machining
eight (10) classes, Person, Student, Professor, Admin, StudentLogIn,ProfessoryLogin, Course, Grading, StudentRegistration, Payment and the aggregate classStudentInfSys. While classes Student holds the information of each individual student profile (a) (b) (c) Figure 2. Some classes defined in UML (a) Class Student Login; (b) Class Professor Login; (c) Class Student Registration. © American Society for Engineering Education, 2021 2021 ASEE Conferencewhich includes person info, academic records, financial info, etc.. Class Professor carries theprofessor’s individual info, teaching assignment, and grading
Engineering at Penn State Erie, The Behrend College. He received the B.S. in Mechanical Engineering from West Virginia University in 1986. Mr. Jones also earned the M.S. in Mechanical Engineering from Case Western Reserve University in 1990. In addition, Mr. Jones graduated from the General Electric Advanced Course (A, B, and C courses) in Engineering as part of the Edison Engineering Program in 1989. Mr. Jones is a Licensed Professional Engineer, PE 054155E, in the Commonwealth of Pennsylvania. Mr. Jones began his engineering career in 1986 with General Electric Company in Erie, Pennsylvania. Subsequent to that time he worked for Morrison Knudsen Co. in Boise, ID, and Atchison Steel Castings Co. in Atchison, KS. He
students to actively interact in class/field/lab and participate in the assigned tasks. When teamwork is required, it is measured via anonymous peer evaluations. b. Project(s) Completion [30%]: The allocated percentage is for successful completion and generation of assigned 3D model(s). If teams were employed, 5 percent points of the total allocated points are used for peer-evaluation of team members assigned to the project. c. Completion of Assessment Documents [10%]: This requires the completion of quiz(zes) for direct assessment and survey(s) for indirect assessment of the acquired knowledge. d. Poster and/or Oral Presentation [10%]: In the course, a poster related to the assigned project is generally
packet, which can befound in the Appendix. The implementation of the design review process is described below: 1) Each team member will identify their “role” or “job” within the team. This role represents their engineering sub-discipline. Examples include Project Manager, Fabrication Specialist, Concrete Mix Design Engineer, etc. 2) Each member of the team will partner up with a teammate. Partner A will be Partner B’s reviewer and vice versa. 3) The partners will consider each other’s roles on the team. Partner A may ask themself, “What is Partner B working on? What should Partner B know about the project?” Partner A will then come up with a set of questions (at least 5) to ask Partner B that will provide them
for every unit increase collaboration) ● Are provided help by the TA (0.088 unit increase in confidence for every unit increase in TA help)Students place lower value in completing a DC when they: ● Perceive the task as difficult (0.042 unit decrease in confidence for every unit increase in TA help)Regression Analysis for ConfidenceTable 3. Regression model for confidence.Variable UnStandardized Standard Standardized t P F Degrees R2 Coefficient, Error Coefficient, of B β FreedomConfidence
persistence.Theoretical FrameworkStrayhorn [6], [7] built on Maslow’s [8] hierarchy of needs to argue why it is needed in collegeexperiences related to student learning outcomes. Pilcher [13] extended Strayhorn’s [6] sense ofbelonging work and applied it to a review of the literature in online learning spaces. Our paperexplores the intersections of Strayhorn’s sense of belonging and related concepts, online learningspaces, and STEM courses, specifically in engineering classes.Seven assumptions guide Strayhorn’s [6] theory of sense of belonging: 1. Sense of belonging is a basic human need. 2. Sense of belonging is a fundamental motive, sufficient to drive human behavior. 3. Sense of belonging takes on heightened importance (a) in certain contexts, (b) at
Paper ID #34498Infrastructure Education in Unprecedented Times: Strengthening aCommunity of PracticeDr. Kristen L. Sanford P.E., Lafayette College Dr. Kristen Sanford is an associate professor of Civil and Environmental Engineering at Lafayette College. Her expertise is in sustainable civil infrastructure management and transportation systems, and transporta- tion engineering and infrastructure education. She teaches a variety of courses related to transportation and civil infrastructure as well as engineering economics, and for the last ten years she chaired Lafayette’s interdisciplinary Engineering Studies
, we mean a set of nodes thatshare all possible pairwise connections; with the term (induced) star, we imply a set of nodes each with aconnection to a common center and no other edges between other pairs of nodes. To find the largestinduced clique that includes a certain node and the largest induced star that includes that node as a center,we solve the integer programs presented in (1) and (2), respectively. We also present pictorial examplesof cliques and stars in Figure 1 in (a), (b), (c) and (d), (e), (f), respectively.In both mathematical formulations, 𝑥𝑖 is a binary variable that is equal to 1 if and only if node 𝑖 is in theclique/star. Additionally, in the clique formulation, two nodes are not allowed to both be in the clique,unless
& Beilock, 2012). There is a lotof evidence that math anxiety robs individual’s working memory (Beilock & Willingham, 2014).The working memory's "space" or capacity is some fixed amount that varies from person toperson. It is used to solve problems and reason. If part of the working memory is occupied byanxiety, it is taking away from the fixed capacity that can be used to come up with a solution(Beilock, 2008). There is also neurological data that supports these findings (Young, Wu, &Menon, 2012).Attribution: How students attribute their failures and successes is also tightly linked to howstudents perform. A study looked at twelve factors to which most influenced success in acomputer programming course (B. C. Wilson & Shrock
/articles/it-isnt-a-new-era-for-productivity-yet-11620313683.3. Lichtenstein, G., Chen, H. L., Smith, K. A., & Maldonado, T. A. (2014). Retention and persistence of women and minorities along the engineering pathway in the United States. In Eds. B. Olds & A. Johri, Cambridge Handbook of Engineering Education Research. Cambridge University Press.4. Kirkpatrick, A. T., Danielson, S., Warrington, R. O., Smith, R. N., Thole, K. A., Kulacki, A., Wepfer, J., & Perry, T. (2011). Vision 2030: Creating the future of mechanical engineering education. Proceedings of the American Society for Engineering Education Annual Conference & Exposition, Vancouver, BC, June 26-29.5. Lattuca, L. R., Terenzini, P. T., &
they believe each engineering undergraduate degreeprogram should be able to cultivate in their students, including: (a) an ability to apply knowledgeof mathematics, science and engineering, (b) an ability to design and conduct experiments, aswell as to analyze and interpret data, (c) an ability to design a system, component, or process tomeet desired needs within realistic constraints such as economic, environmental, social, political,ethical, health and safety, manufacturability, and sustainability, (e) an ability to identify,formulate, and solve engineering problems, and (g) an ability to communicate effectively (ABETCriterion 3. Student Outcomes (a-k)). We argue that all of these skills are essential componentsof the argumentation process
throughput enhancement for 5g enabled uav swarm networking,” IEEE Journal on Miniaturization for Air and Space Systems, pp. 1–1, 2021.[11] X. Liu, H. Song, and A. Liu, “Intelligent uavs trajectory optimization from space-time for data collection in social networks,” IEEE Transactions on Network Science and Engineering, pp. 1–1, 2020.[12] C. Xu, B. Chen, Y. Liu, F. He, and H. Song, “Rf fingerprint measurement for detecting multiple amateur drones based on stft and feature reduction,” in 2020 Integrated Communications Navigation and Surveillance Conference (ICNS), 2020, pp. 4G1–1–4G1–7.[13] J. Eason, C. Xu, and H. Song, “Software define radio in realizing the intruding uas group behavior prediction,” in 2020 IEEE 39th International
content was added for the following topics to support students as theydesigned their mechanical puzzles: (a) overview of 2D subtractive manufacturing processes, likelaser cutting, with tips for basic design elements; (b) introduction to part tolerancing practices;and (c) start-up guides and demonstrations of creating laser-cut designs for both recommended2D software packages (Inkscape and SolidWorks). Figure 1. Example student work from PBL#1: Product Design, which was a 6-week team-based project that involved physical prototyping of a multi-part mechanical product. (Left) from the F2F version of the course, a 3D sketch of an automaton. (Right) from the online version of the course, a laser-cut
15th of each month, so itwould have two pay periods for each month.Payment Class: The payment class represents a payment from the company to a payable entity(either an employee or a vendor). The payment includes information about the payment amount,the date of the payment, and a reference to the recipient of the payment. (a) Payment class (b) PayPeriod class (c) PayableEntity class Figure 2. A selected class definition in UML Class model (a) Payment class (b) PayPeriod class (c) PayableEntity class.PayableEntity Class: An abstract class containing information about a potential payee, and theirpayment information. It
same lines, it can be seen from Table 1 that afew students have not taken advantage of Professor and/or Teaching Assistant Office Hours. Ifstudents are understanding the course material, they will have less need to ask additional questionsin office hours thereby reducing the number of students visiting office hours.Table 1: Key to On-Going Program Activities, and the Number of Respondents who Did NotParticipate in Each Activity Identifier Program Activity Number of Non-Participants A Faculty Mentoring 0 B Tutoring Center 7 C S-STEM Program
successfully print, and they produced only a PLAprototype. a b c d Figure 2. Designs of air water heat exchangers. (a) is a PLA prototype from a team that did not attempt a print using TC- poly filament. (b) is a PLA prototype whose TC-poly print warped and failed to print to completion. (c) and (d) are designs printed successfully using TC-poly ICE 9 Rigid filament.The transverse structures seemed to resist warpage as the part cooled on the 3D printer bed. Thisis similar to the experiences of Michna and Letcher who found that students used fins for supportrather than heat transfer [4]. Heat exchangers shown in Figure 2c and 2d were printed using a
software which allows storing the data which facilitates datasorting and analysis. Figure 7 shows an example of the data being plugged into a laptop while thecar under testing.Figure 5. Final revision of the 3D printed ground effect structure painted and installed on the scaled F1 car (a) side view and (b) rear view Figure 6. Model car tested inside the testing chamber with force sensors being installed underneath the car and behind it to measure the down and drag forces respectively Figure 7. Forces being recorded and saved into the laptopA total of 241 tests were conducted for each case. Samples of the recorded data for the down anddrag forces
enabling students (a) to identify the types, sizes,and movement of particles that are found in air, particularly those that are expelled during normalhuman activity, and (b) to characterize the material properties that influence the control of thesedifferent particles. A specific focus was placed on the use of face masks made from common textilematerials. The “Mask Effectiveness” project required the development of Excel-based animations andtools that encourage students to explore relationships between air pollutants and materials science.The tool was developed such that it provides a solution to the limitations of a student design projectfor online and hybrid courses. By engaging with the computer-based Excel tool, students are ableto
capable… I just think it logically follows to like have an intent to go out and be successful as part of like the workforce being an operating members society of these special skills and the special knowledge. It’s the whole reason you're there. Or at least pursuing like that specific degree.” – Dan Dan has framed success within the bounds of having an engineering position and being future-oriented. Kate similarly sees success as being future-oriented but also brings attention to the process of becoming successful. To Kate, “success is a state function.” A state function means the path taken from A to B is independent of the route taken. Therefore, there are many paths to being successful. While Kate notes grades