the fall semester, 2017. The goal we have for this paper is toeconomically describe at the 10,000-foot level (a) our reasons for the systemic changes weestablished, (b) the core architecture of our revised FYEP, (c) a selected subset of ourpreliminary findings and observations regarding our revised FYEP, (d) a special observationconcerning the ease of transition from face-to-face operation over to complete internet operationof FYEP while maintaining the integrity of our revised operational model all in the context of aglobal pandemic (coronavirus), and (e) a thumbnail description of our plans for the future.Introduction: Framing of the Goals for an Enhanced First-Year Engineering Program.The common first-year engineering program at MTU was
audioexplanation of the lecture was embedded in the corresponding slides. In the PowerPoint withannotation videos, the instructor used a tablet and screen casting software (Camtasia) to writedirectly on the PowerPoints while audio and the screen annotations were recorded and captured.Figure 3 shows examples of each of the created video types. Figure 3: Examples of the different video types created by the instructor for the online content of the mixed-mode class, (a) Lightboard video, (b) Voiceover PowerPoint
steady, cruising flight at various altitudes3-4. According to Figure 1(a), as altitudeincreases so does the thrust required for a given wing loading. Keeping in mind that lower altitudesare more ideal for planetary exploration, an altitude of 5km was chosen for further analysis. Figure1(b) presents the constraint analysis and solution space of the system at an altitude of 5 km. Thesolution space in Figure 1(b) provides the wing loading necessary for flight to be 30N/m2. Throughanalysis of the weight distributions of various gliders with similar flight capabilities trying to beachieved such as the AAI RQ-7 Shadow [3], the estimated total weight of the drone is 30 N, with astructural, equipment, and fuel weight of 135 N, 67.5 N, and 67.5 N
X X b Abstract/Deconstruct a problem into solvable chunks X c Troubleshoot X X X X d Exercise engineering intuition X X X e Investigate cause and effect X f Systematically follow prescribed procedures and protocols X X X g Identify, Interpret and specify realistic constraints X X
initial shapeschosen for this pilot, a whale and a lion, are shown in Figure 1. These parts were taken from theLego™ Classic Blue Creativity Box 10706 and Classic Orange Creativity Box 10709,respectively. a) b) Figure 1: First implementation of Lego™ Assembly Test with a) Whale and b) LionDuring the term, the students completed spatial visualization training which taught them how tosketch orthographic and isometric assignments using the Spatial Vis™ mobile sketching app(https://egrove.education). The app provided automatic grading and hint feedback to helpstudents when they were stuck. At the end of the course, the PSVT:R test was repeated for allstudents. The Lego™ Assembly
group involve designing polymeric, degradable therapeutic pulmonary aerosols for immune engineering and creating 3D-printed lung replicas to advance in vitro deposition testing. c American Society for Engineering Education, 2020 Putting Course Design Principles to Practice: Creation of an Elective on Vaccines and ImmunoengineeringAbstractAt our university, most assistant professors are expected to develop and deliver a newsenior/graduate-level elective course related to their research. We present here a collaborationbetween a non-tenure-track, teaching-focused associate professor (Professor A) and a newtenure-track assistant professor (Professor B) to design a course using principles
. Retrieved from Washington, DC:Brubaker, E. R., Kohn, M., & Sheppard, S. (2019). Comparing outcomes of introductory makerspaces courses: The role of reflection and multi-age communities of practice. Paper presented at the International Symposium on Academic Makerspaces, New Haven, CT.Carbonell, R. M., & Andrews, M. E., & Boklage, A., & Borrego, M. J. (2019, June), Innovation, Design, and Self-Efficacy: The Impact of Makerspaces Paper presented at 2019 ASEE Annual Conference & Exposition, Tampa, Florida. https://peer.asee.org/32965Charmaz, K. (2006). Constructing grounded theory: A practical guide through qualitative analysis. Thousand Oaks, CA: Pine Forge Press.Fasso, W., & Knight, B. A. (2019
midterm exam was held in week 7. Question 7, shown in Appendix C, has parts b) and c)which tested the students on moments in three dimensions and about an axis. Question 8, theentire question of which tested the students on simplification to a wrench resultant, is shown inAppendix D. Note that some parts of the questions ask the students to prove intermediate results,which may also be used to solve subsequent parts even if the proof is not obtained. Question 8part c) offers the student either method of solving the wrench resultant, after which in part d) thecontinuation of the chosen method is expected. The marking scheme is also included in theaforementioned appendices. For consistency, the same TA marked a particular question. Theyare also told
offered suggestions for implementing suchanalyses to forecast potential issues brought about by curricular change and other extensions tothe technique to simulate student movement through the curriculum. AcknowledgmentsThis material is based upon work supported by the National Science Foundation under Grant No.EEC-1623067. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the authors and do not necessarily reflect the views of the National ScienceFoundation. References [1] Main, J. B., & Xu, X. R., & Dukes, A. M. (2018), Board 94: A Conceptual Model for Engineering Major Choice Paper presented at 2018
of the exam wrapper assignment. Additionally, to be eligible for participation inthe current study, students needed to complete all formal exams or assessments linked to theexam wrapper activities. These qualifications provided us with a total sample of 54 students, or71.05%, from the second cohort, compared to 78 students, or 85.71%, from the first cohort.Data CollectionThe specific pieces of student data collected for this study include all components of the examwrapper activity. These materials include several assignments associated with the first round ofexams (Exam Wrapper After-Action Review #1 Stage 1 [Appendix B], Stage 2 [Appendix C],and Stage 3&4 [Appendix D]), as well as the assignment associated with the second round ofexams
world in andbeyond the student’s educational journey, enhancing student’s affinity to the program, College,and University, and enabling a greater persistence toward graduation goals [6]–[8]. Due to theprevalence and diversity of formal and informal mentoring programs and practices atpostsecondary institutions, relevant theories and frameworks for effective mentoring have beendeveloped and tested over the years. Crisp, Baker, Griffin, et al. [9] provide an updated synthesisof the undergraduate mentoring scholarship to address four specific questions: a) to identify andunderstand how empirical knowledge and theory have advanced; b) to identify and provideclarity about the characteristics that serve to meaningfully distinguish mentoring
inproximity and relationship. The paper will seek to answer one main guiding research questionand two sub-questions: 1. Does the proximity and relationship with the community partner affect the manifestation of empathy in students on service-learning design projects? a. How is empathy manifesting on service-learning projects? b. What factors contribute to the manifestation of empathy in students working on service-learning design projects?ContextThe EPICS program engages students in long-term partnerships with local, regional and globalcommunity partners [6]. Undergraduate students from all engineering disciplines and othermajors across the university earn academic credit within their respective plans of study
. c American Society for Engineering Education, 2020Introducing junto: a Web Tool to Build Project Teams based on a Bidding StrategyAbstractThis work presents a web application created to help instructors assign students to group projects,with an algorithm that optimizes student satisfaction, gives students the opportunity to select ateam member, and reduces time needed for an instructor to create teams. Our approach focuses ontwo main aspects: (a) it gives the student the ability to apply weights to their project choices(instead of just ranking them) and (b) it provides students with the opportunity to select aclassmate to be partnered with. We implemented a genetic algorithm that assigns students toprojects in
aerospace manufacturing sector, change wasidentified as an expectation, with one being “…ready to go to Plan B if Plan A is not available,and then move on to consider Plans C and D, and perhaps Plan E if circumstances dictate”[64]. In terms of Big Data and automation technologies in aircraft the need for the humans toadapt more fluidly are significant in the sense of changing and working through times of suddendisorder and uncertainty [65], [66]. Traditionally structured views of “the round peg goes intothe round hole… that there is only one answer to a question… these structures are moremalleable in modern operations. than we may want admit…ultimately the big data messinessconcept requires the human being to change in order to tap into and harness
2017 ASEE Gulf-Southwest Section Annual Conference A Comparative Analysis of Underrepresented Minority Groups Taking a New First Year Engineering Course (Extended Abstract) 1 David J. Ewing – The University of Texas at ArlingtonAbstractThe University of Texas at Arlington (UTA) enjoys a culturally diverse and rich student bodythat includes many underrepresented minorities and the university has been designated as aHispanic Serving Institute (HSI). As part of its mission, UTA has been seeking strategies toincrease retention of their engineering student population. A new first year engineering coursewas created at UTA in order to address this
Communication Skills in Engineering Students Paper presented at 2014 ASEE Annual Conference & Exposition, Indianapolis, Indiana. https://peer.asee.org/200603. Erdil, N. O., & Harichandran, R. S., & Collura, M. A., & Nocito-Gobel, J., & Adams, D. J., & Simson, A. (2016, June), Preliminary Assessment of and Lessons Learned in PITCH: an Integrated Approach to Developing Technical Communication Skills in Engineers Paper presented at 2016 ASEE Annual Conference & Exposition, New Orleans, Louisiana. 10.18260/p.259444. Randi, J., & Harichandran, R. S., & Levert, J. A., & Karimi, B. (2018, June), Improving Senior Design Proposals Through Revision by Responding to Reviewer Comments Paper presented at 2018
, Padova, Italy, p. 27-34.6. Amy, E. (2014) “Educational robotics theories and practice: Tips for how to do it right,” in Robotics: Concepts, Methodologies, Tools, and Applications, IGI Global: Hershey, PA, p. 193- 223.7. Mehul, B. (2014) “Reasoning about space, actions, and change: A paradigm for applications of spatial reasoning,” in Robotics: Concepts, Methodologies, Tools, and Applications, IGI Global: Hershey, PA, p. 315-349.8. Ortiz, A.M., et al., (2015) “The power of educational robotics as an integrated STEM learning experience in teacher preparation programs,” Journal of College Science Teaching, 44(5): p. 42- 47.9. Bers, M.U. and M. Portsmore, (2005) “Teaching partnerships: Early childhood and
1 A Study of the Impact of a NSF Internship and Conference Participation Program on Student Success Kristine Denman, Joel Robinson New Mexico Statistical Analysis Center University of New Mexico Tariq Khraishi Mechanical Engineering Department University of New Mexico AbstractA NSF program supporting internships and conference participations for undergraduateengineering/computer science students was performed at the
Congress & Exposition (IMECE), Tampa, FL.5. Carey*, R., Carroll*, A., and Kuttolamadom, M. A., 2019, "Design Space Exploration of Parameters for Selective Laser Melting of WC-Co," 2019 Engineering Undergraduate Research Symposium, Texas A&M University.6 Richardson*, L., and Kuttolamadom, M. A., 2019, "Thermal Efffects on Selective Laser Sintering of Pharmaceuticals," 2019 Engineering Undergraduate Research Symposium, Texas A&M University.7. Dugas*, B., and Kuttolamadom, M. A., 2019, "Fabrication of a Direct Energy Deposition 3D Printer for Pharmaceuticals," 2019 Engineering Undergraduate Research Symposium, Texas A&M University.8. Huang, J., Miscles, E., Mellor, T., Kuttolamadom
] M. A. Supiano, J. T. Fitzgerald, K. E. Hall, and J. B. Halter, "A vertically integrated geriatric curriculum improves medical student knowledge and clinical skills," Journal of the American Geriatrics Society, vol. 55, no. 10, pp. 1650-1655, Oct. 2007.[6] M. Wijnen-Meijer, O. ten Cate, M. van der Schaaf, and S. Harendza, "Graduates from vertically integrated curricula," The Clinical Teacher, vol. 10, no. 3, pp. 155-159, Jun. 2013.[7] J. L. Schiano, "A Four-year Vertically Integrated Design Sequence in Electrical Engineering," presented at the 2012 ASEE Conference and Exposition, San Antonio, TX, Jun., 2012.[8] D. Kmiec, "Teaching Engineering Communication: A Novel Vertically-Integrated and Discipline
and F. Pearson, "Women's Perceptions of the Climate in Engineering Technology Programs," Journal of Engineering Education, vol. 89, pp. 309-314, 2013.[11] J. D. Burns, R. J. Budreau, G. L. Harding, W. M. Pace, M. E. Prygoski and J. A. Piller, "A Redesigned Engagement and Recruitment Strategy for Engineering Technology Programs at a Regional Campus," in ASEE IL-IN Section Conference, West Lafayette, 2018.[12] R. L. Mott, G. P. Neff, M. J. Stratton and D. C. Summers, "Future directions for mechanical, manufacturing, and industrial engineering technology programs," Journal of Engineering Technology, vol. 19, no. 1, pp. 8-15, 2002.[13] S. Zakani, B. Frank, R. Turner and J. Kaupp, "Framework for the Transferability Between
Fall 2016 and Fall 2018 are presented below infigures 5a and 5b respectively. (a) Before Scaffolding (b) After Scaffolding Figure 4: Histogram of on-time submission ratios before and after scaffoldingWhen comparing the histograms in figure 5, the histogram shifts to the left, indicating a sharpdecrease in missing submissions after scaffolding. We also observe that over 70% of students hadmissed less than 10% of all submissions after scaffolding (Fall 2018).For in-depth analysis, we performed a test of the hypothesis (t-test) as well as Cohen’s effect size. (a) Before Scaffolding (b) After Scaffolding Figure 5: Histogram of missing submission
in the learning process, collaboration, and inductiveapproaches during class sessions. Highlighting applications at the start of class in connectionwith new topics being introduced can engage students and raise questions. For Circuits I, someexamples include showing (e.g., on a PowerPoint graphic or otherwise): a) different kinds ofpower sources and batteries used for industrial and consumer applications, motivating the need tomodel them with the help of an ideal electric source, b) a cutaway view of DC and/or AC motorsto do mechanical work that can elicit a question about the key electrical component(s) before asection on inductors, c) a professional audio mixer and circuitry that suggests a familiar audioapplication before analyzing op amp
statics concept inventory,” Proc. 2004 Am. Soc. Eng. Educ. Conf. Expo., 2004.[9] G. Gray, F. Costanzo, and D. Evans, “The dynamics concept inventory assessment test: A progress report and some results,” Am. Soc. Eng. Educ., 2005.[10] N. Jorion, B. D. Gane, K. James, L. Schroeder, L. V. Dibello, and J. W. Pellegrino, “An Analytic Framework for Evaluating the Validity of Concept Inventory Claims,” J. Eng. Educ., vol. 104, no. 4, pp. 454–496, 2015.[11] N. Stites et al., “Analyzing an abbreviated dynamics concept inventory and its role as an instrument for assessing emergent learning pedagogies,” ASEE Annu. Conf. Expo. Conf. Proc., vol. 2016-June, 2016.[12] R. Averill, S. Roccabianca, and G
. Student 5 I enjoyed the drone project. I think it was the best feature of the course. Student 6 A great overall project as it teaches students the hands-on/ designing portion of engineering, unlike any other courses.Graphs in Figure 6 divulge that the majority of students agreed (or strongly agreed) that thedrone project improved their creativity and ability to innovate (61% agreement), and helped themgain hands-on experience on designing and creating models (81% agreement) (subgraphs a & b).Furthermore, most of the students believed that it is important to introduce 3D modelingsoftware to first-year students (79% agreement) (subgraph d) and that the drone project was agood way to introduce the 3D modeling concept/software
1 Session ETDA Novel Augmented Reality Application For A Mobile Renewable Trailer As An Emergency Response Ulan Dakeev, Reg Pecen, Faruk Yildiz, Ali Aljaroudi PhD Engineering Technology Department Sam Houston State University AbstractThe number of hurricanes and storms in the last decade have steadily increased in Texas leavingresidents without water, electricity, and medical care. Electricity needed for emergency medicalequipment is crucial to save victims
’ mothers and 48% of their fathers have not earned a collegedegree.Figure 1 summarizes some of the demographics and academic characteristics of an averagechemical engineering graduate from our program. Graduates from our program are more likelyto have a high university GPA, transfer many science, math, and non-STEM credit requirementsfrom other colleges or universities, have an ACT score around the 78% percentile, attended apublic high school with an average B to B+ rating [13], and be a first generation college studentin their family.Figure 1: Characteristics of chemical engineering students who have graduated or will soongraduate with chemical engineering degrees from our program, examined among the cohort of2014 and 2015 first year chemical
NSF Advance-PLAN projectdesigned to address gender equity through policy change on a statewide level. The project isbased on the model of change that identifies effective change as a top-down policy drivenapproach through a central authority, in this case, a statewide board of regents that oversees allpublic universities. The model for top-down change is particularly suited to a small, rural statewhere a) n-values for gender related statistics at any institution may not be statisticallysignificant b) institutional relations allow for cross-state cooperation and c) size of theinstitutions allows for timely implementation and assessment of policies. In addition,intercollegiate cooperation allows for provosts of all six institutions to serve as
an offer to the selected candidate.For summers 2014-2019, we received an average of 200 completed applications per year. Wereceived fewer - 66 - in 2013, likely due to the compressed recruitment timeframe in the firstyear of our first REU Site award. Figure 1 shows selected demographics for our applicant poolsand participating students.Figure 1. Percentage of applicants (black bars) and participants (gray bars) who self-identified as(a) female or (b) underrepresented minority (African American/Black, Native American/NativeAlaskan, Pacific Islander/Native Hawaiian, Hispanx/Latinx/Chicanx, and/or mixed raceincluding one or more of these demographics).Across all years, the applicant pools (means ± standard deviation) included 62.1% ± 2.7
Paper ID #29357Development of a MATLAB/ROS Interface to a Low-cost Robot ArmProf. Robert L. Avanzato, Pennsylvania State University, Abington Robert Avanzato is an associate professor of engineering at the Penn State Abington campus where he teaches courses in electrical and computer engineering, computer science, and robotics. His research interests are mobile robotics, computer vision, intelligent systems, collaborative virtual environments and innovative education. c American Society for Engineering Education, 2020 Development of a MATLAB/ROS Interface to a Low-cost Robot