October12, 2020].[4] “Homework? What homework? Students seem to be spending less time studying than theyused to,” The Chronicle of Higher Education. Chronicle.com/weekly/ v49/ i15a03501.htm.[5] H. Bembenutty, M.C. White, “Academic performance and satisfaction with homeworkcompletion among college students,” Learning and Individual Differences. vol. 24, pp. 83-88.Elsevier Publishers, 2013.[6] H. Cooper, J.C. Robinson and E.A. Patall, “Does homework improve academic achievement?A synthesis of research, 1987 – 2003,” Review of Educational Research, Vol. 76(1), pp.1-62.,2006.[7] J. McTighe, K. O’Connor, “Seven practices for effective learning,” Educational Leadership,Vol. 63, No.3, spring 2005.[8] M. B. Eberly, S.E. Newton and R. Wiggins, “The syllabus
answer choice Problem levels Primarily intermediate (type B) Fundamental (type A) Process • Learning objectives • Learning objectives differences implicit (similar to implicit (similar to • Learning objectives (LOs) existing textbook existing textbook explicitly developed prior problems) problems) to problems • Students each worked on • Students worked on the • Students worked on the different topics same topics together same LOs, but on different
, determine an expression for the skydiver’s acceleration x ¨.(b) After falling for awhile, the skydiver will approach terminal velocity: the velocity at which they areno longer accelerating. Starting with the expression from part (a), determine this terminal velocity x˙ ⇤ .Exercise 2After free-falling near an initial terminal velocity x˙ ⇤0 , the skydiver deploys a parachute which increases theirdrag coefficient Cd . Determine the distance travelled s until the skydiver is within 10% of the new terminalvelocity x⇤ due to the parachute. Assume that x˙ ⇤0 = 55 m/s, Cd = 40 kg/s, and that the skydiver has yourmass.Exercise 3Express the di↵erential equation for the
Paper ID #34650Cheating and Chegg: a RetrospectiveMr. Eli Broemer, Michigan State University PhD student focused on soft tissue biomechanics.Dr. Geoffrey Recktenwald, Michigan State University Geoff Recktenwald is a member of the teaching faculty in the Department of Mechanical Engineering at Michigan State University. Geoff holds a PhD in Theoretical and Applied Mechanics from Cornell University and Bachelor degrees in Mechanical Engineering and Physics from Cedarville University. His research interests are focused on best practices for student learning and student success. He is currently developing and researching
0 0 A B C D F Grade 2019BeforeCurving 2019 2020 Figure 3: Student performance in Automatic Controls, as measured by a concept inventory. Figure 3 shows student performance in Fall 2020 vs Fall 2019 in five equally spaced tiers.The concept-inventory part of the exam is directly based on the portion of learning levelscovered by category 1 homework. In Fall 2019, there was no pre-test, whereas in Fall 2020there was both a pre
thinking required forproblem-solving.[4] However, empathy can diffuse emotions.[5]Barrett-Lennard describes a cyclical process of how empathy unfolds or builds between twoindividuals, “A” and “B”, that consists of 5 steps and 3 phases.[6] Barret-Lennard’s empathy cycleis summarized in table 1. In the first step, A is actively attending to B’s expression of experience(and hoping/trusting A will be receptive). B’s experience becomes known to A in a second step. Step Description Phase 1 A attends to B’s expression Conditions for of experience empathic process 2 A reads or resonates to B such Phase 1: empathic resonation
machine costs about $16,000, including the motioncontroller, software licenses and a PC. The total cost of the project, including salaries ofresearchers, students, indirect costs, parts, etc. was about $250K. Some of the costs were offset bydonations from industry.Although the lab stations are different machines, they share common features so that generalskills such as jogging axes, I/O mapping, user interface mapping, motion profile programming,etc. are all the same regardless of the machine. Hence, students can use any machine when they (a) Bottle filling (b) Gantry pick-and-place machine(c) Material handling with conveyor (d) Logo stamping on golf balls(e) Winding machine for fishing line
) answered prompts in front of the entire class and were surveyedcomprehensively in the beginning, middle, and end of the semester. This course was held inSpring 2020, where students started the course fully in-person and shifted to synchronous virtualinstruction shortly after the mid-semester survey. The course was at the introductory level, and itwas the first major-specific course in the curriculum. The course is typically taken in the springsemester of the second year, so students may know each other and have some experience withcollege level instruction.The other cohort (Cohort B) started the course in Fall 2020 with synchronous virtual instructionwith plans for partial in-person instruction. Cohort B students completed a one-question
project. The students were instructed to do a video recording and upload it to the serverand share it with the class for them to watch the built prototype, and it’s working principle with azoom presentation to follow. B. Hybrid/blended format in Fall 2020/Spring 2021: In Fall 2020, new challenges were introduced. Since the students' survey indicated their in-person instruction preferences, the instruction delivery moved to a blended model of zoom lectureand in-person LABs. The major challenge was to meet the 6-feet requirement for social distancingduring the LAB setup. Our LABS are generally equipped with 24 workstations for each student.During Fall 2020 and continuing in Spring 2021, the class was divided into two groups, and
35% and 65% chord length at a high angle of attack and compared to the baseline airfoil andpreviously done semi-circular geometry. The results are summarized in Table 3. It appears therectangular geometry placed at 35% chord length outperformed the competing geometriessignificantly; however, when the varying dimple geometries were placed at 65% chord length,the percent increase in L/D did not vary significantly from geometry to geometry. (a) (b) (c) Figure 15: Dimple with (a) rectangular geometry; (b) triangular geometry; (c) trapezoidal geometryTable 3: Percent increase in L/D
Paper ID #32492Transition from the F2F to the Online Teaching Method During EmergencyStatus (Engineering Emergency Remote Learning)Dr. Bahaa Ansaf, Colorado State University - Pueblo B. Ansaf received a B.S. degree in mechanical engineering /Aerospace and M.S. and Ph.D. degrees in me- chanical engineering from the University of Baghdad in 1996 and 1999, respectively. From 2001 to 2014, he has been an Assistant Professor and then Professor with the Mechatronics Engineering Department, Baghdad University. During 2008 he has been a Visiting Associate professor at Mechanical Engineering Department, MIT. During 2010 he has
perceive a deficiency to develop their abilities to communicate andfunction on a team in a virtual instruction environment.Figure 1: Weighted average data of student feedback of seven ABET student learning outcomes(SLOs) for (a) lower-division lecture, (b) upper-division lecture, (c) lower-division laboratory, and (d) upper-division laboratory courses.To further compare the student experience in the in-person and virtual environments in terms ofstudent learning outcomes, the difference in the SLO weighted averages for the in-person andvirtual environments was taken for each type of course. As the virtual instruction was rated lowerfor every course type, the value of this difference was always positive. For each course
the fatigue experiments are destructive since weneed to apply cyclic loading until the failure of the structure. Also, fatigue experiments may takea long time since, in some cases, we need to apply a very large number of cycles in order tocause a fracture in the specimen. Both of these issues (i.e., cost and time) are not an issue in VLssince a) it is free for students to run as many experiments as they desire and b) theaforementioned “fast-forwarding” button allows students to conduct all experiments within amatter of seconds. Thus, in the case of the fatigue lab, we can easily plot the S-N curve based onthe VL results, whereas doing so based on the hands-on experiments alone is difficult.6. Conclusions and Future WorkIn this project, we
. Ronghui Ma, University of Maryland Baltimore County A. Professional Preparation: Zhejiang University, Hangzhou, China Mechanical Engineering B.E. 1991 Southeast University, Nanjing, China Mechanical Engineering M.S. 1994 Stony Brook University, Me- chanical Engineering Ph.D. 2003 Ph.D. Thesis: Modeling and Design of PVT Growth of Silicon Carbide Crystals Ph.D. Advisors: Professors Hui Zhang and Vish Prasad B. Appointments 1998-2003 Research Assistant, State University of New York at Stony Brook 2003-2004 Post-doctoral Fellow, University of Pennsylvania 2004- 2010 Assistant Professor, University of Maryland Baltimore County 2010- Associate Professor, University of Maryland Baltimore CountyDr. Deepa Madan, University of
Phase II: Insights from Tomorrow's Engineers," Washington, DC., 2017.[2] D. Melton and D. E. Rae, "Developing an entrepreneurial mindset in US engineering education: an international view of the KEEN project," The Journal of Engineering Entrepreneurship, vol. 7, no. 3, 2017.[3] P. Ramsden, Learning to teach in higher education, 2nd ed., London, England: Routledge, 2003.[4] L. Michaelsen and B. Richards, "Drawing conclusions from the team-learning literature in health sciences education: A commentary", Teaching and Learning in Medicine, vol. 17, no. 1, pp. 85-88, 2005.[5] "Jamboard for Education," Google, [Online]. Available: https://edu.google.com/products/jamboard/.[6] "Mural for Education," Mural, [Online]. Available: https
with Technology,” 118th ASEE Annual Conference, Vancouver, BC, Canada, 26-29June 2011.[12] J.C. Crepeau, B. Willis, S. Quallen, S. Beyerlein, D. Cordon, T. Soule, P.K. Northcutt, T.Gaffney, J. Kimberling, A. Shears, and A. Miller, “Generation-Z Learning Approaches toImprove Performance in the Fundamentals of Engineering Exam,” 2020 ASEE VirtualConference, Paper #28606
Paper ID #33048Gaining Industry Experience Exposure During a PandemicDr. Wm. Michael Butler, Virginia Polytechnic Institute and State University Wm. Michael Butler is an Associate Professor of Practice in the Department of Engineering Education at Virginia Tech. He is a 23 year aerospace industry design professional with B.S. and M.S. in Aerospace Engineering from Virginia Tech and a PhD. in Engineering Education also from Virginia Tech. His engineering education research is focused on the use of design tools and live simulation in engineering design education as a means to better prepare students for industry. He is a
Paper ID #33210Science Diplomacy: Results From a Three-Year PilotDr. Daniel B. Oerther, Missouri University of Science and Technology Professor Daniel B. Oerther, PhD, PE joined the faculty of the Missouri University of Science and Tech- nology in 2010 as the John A. and Susan Mathes Chair of Civil Engineering after serving ten years on the faculty of the University of Cincinnati where he was Head of the Department of Civil and Environmental Engineering. Oerther earned his Ph.D. (2002) from the University of Illinois, Urbana-Champaign. Dan’s professional registrations include: PE, BCEE, BCES, CEng, CEnv, CEHS, and DAAS
Paper ID #34457Work in Progress: Using Systems Thinking to Advance Faculty Development:A Student Success in Engineering ExampleDr. Amy B. Chan Hilton, University of Southern Indiana Amy B. Chan Hilton, Ph.D., P.E., F.EWRI serves as the Director of the Center for Excellence in Teaching and Learning and is a Professor of Engineering at the University of Southern Indiana. Her work focuses on motivating and supporting faculty in instruction transformation to improve student outcomes, devel- oping frameworks and systematic strategies to cultivate faculty and administrative buy-in for change, and increasing the understanding of
full of variety with the salient point being a passion for teaching and helping all individuals overcome common communication challenges.Mr. Michael Alley, Pennsylvania State University Michael Alley is a professor of teaching for engineering communications at Pennsylvania State Univer- sity. He is the author of The Craft of Scientific Writing (Springer, 2018) and The Craft of Scientific Presentations (Springer-Verlag, 2013). He is also founder of the popular websites Writing as an Engineer or Scientist (www.craftofscientificwriting.com) and the Assertion-Evidence Approach (www.assertion- evidence.com).Lori B. Miraldi, Pennsylvania State University Director of the Engineering Ambassadors Program College of
University Carol B. Muller most recently served as Executive Director for Wise Ventures, an initiative in the Of- fice of Faculty Development, Diversity and Engagement at Stanford University, a role which included support and direction for Stanford’s Faculty Women’s Forum, Gabilan Fellows programs, the Inclu- sion@Stanford cross-campus community of practice, Wise Research Roundtables, and faculty mentor- ing and advising initiatives (2012-21). She also serves as adjunct lecturer in Mechanical Engineering, where she co-developed the course ”Expanding Engineering Limits: Culture, Diversity, and Equity.. A American c Society for Engineering Education, 2021
Grades A B C, D, F, W Total Fall 2020-Section 1 8 2 3 13 Fall 2019 10 7 6 23 p-value = 0.51, the results are not statistically differentSection-2 had more than half of class total capacity. So, this section was taught in a hybrid modewith theory lectures taught as synchronous online sessions and lab classes were conducted in-person with half the class present at a time. Online lectures were conducted on Zoom platform.Pre-pandemic students used to perform laboratory experiments in groups of two. However,during pandemic students performed experiments
others on campus, theuniversity implemented an academic calendar that split the Fall 2020 semester into two blocks (abouteight weeks in length), with courses finished in these units of time. The intention of the blockscheduling was to, (a) reduce the level of traffic on campus as only half of the courses were offered ineach block; and (b) if one a block was able to finish with face-to-face instruction without beinginterrupted by a return to fully online instruction, the quality of that part of schoolwork would beprotected. While this consideration was well-intended, it required teaching plans to be completelyreworked, with the worry that instruction would be rushed without allowing students sufficient time todigest and absorb the content.Even
model accuracy. Additionally, using a larger sample size and a morediverse population, further evaluation can broaden the application of these results. The presentresults should be considered exploratory and interpreted within the context of study limitations.A manuscript is in development with more detailed information related to the theoreticalunderpinnings of the variables, suggestions for the specific use of the information, and furtherdetail into the methods used. Details are limited in this format and this paper is meant tointroduce a larger project to this audience. This material is based upon work supported by the National Science Foundation underGrant No. 1900348.References[1] B. Christe & C. Feldhaus., “Exploring Engineering
EducationalPsychology, vol. 101, no. 4, pp. 817–835, Nov. 2009[2] D. L. Shea, D. Lubinski, and C. P. Benbow, “Importance of assessing spatial ability inintellectually talented young adolescents: A 20-year longitudinal study.” Journal of EducationalPsychology, vol. 93, no. 3, pp. 604–614, 2001[3] S. A. Sorby, “Educational Research in Developing 3‐D Spatial Skills for EngineeringStudents,” International Journal of Science Education, vol. 31, no. 3, pp. 459–480, Feb. 2009[4] H. Wauck, B. S. Woodard, Z. Xiao, T. W. Li, and B. P. Bailey, “A Data-Driven,Player-Centric Approach to Evaluating Spatial Skill Training Games,” in Proceedings of theAnnual Symposium on Computer-Human Interaction in Play, Virtual Event Canada, Nov. 2020,pp. 349–361[5] Z. Xiao et al., “A
the29 students attending that remote lab. The feedback from the students provided in the remarkssection showed a ubiquitous complaint from most students about the remote instruction, more thanany other aspect of the remote lab. This proved the previous inference that the teaching assistantsneeded more detailed training to apply remote learning techniques. (a) Students satisfaction (b) Students preferences Would have Preferred Satisfied deferred remote Unsatisfied Both are
-regulation tactics on sales performance: A longitudinal field test," Journal of Applied Psychology, vol. 84, no. 2, p. 249, 1999.[7] M. Basadur, G. B. Graen, and S. G. Green, "Training in creative problem solving: Effects on ideation and problem finding and solving in an industrial research organization," Organizational Behavior and Human Performance, vol. 30, no. 1, pp. 41-70, 1982.[8] W. G. Hunter, "Some ideas about teaching design of experiments, with 25 examples of experiments conducted by students," The American Statistician, vol. 31, no. 1, pp. 12-17, 1977.[9] J. R. Mohrig, "The problem with organic chemistry labs," Journal of Chemical Education, vol. 81, no. 8, p. 1083, 2004.[10] J. R. Flora and
Paper ID #34304WIP: Impact of COVID-19 Pandemic on a First-Year Engineering CohortRanging From Learning Methods, Personal Decisions and UniversityExperienceDr. Monica B. Setien, North Carolina Agricultural and Technical State University Monica Setien-Grafals is a postdoctoral fellow at North Carolina Agricultural and Technical University under the Revolutionizing engineering and computer science departments (RED) NSF grant. Her research interests include student learning, flipped classroom, engineering design, neural engineering and optoge- netics. She received her BS in BME from Syracuse University and her Ph.D. in Biomedical
Paper ID #34117Accessible Playground Design: A Community-Connected ElementaryEngineering Unit Focused on Designing Accessible Playground EquipmentDr. Tejaswini S. Dalvi, University of Massachusetts, Boston Tej is an Assistant Professor of Science Education and is affiliated with Department of Curriculum and Instruction and Center Of Science and Math In Context. She has a PhD in theoretical physics and has active research in field of elementary science and engineering education.Dr. Kristen B. Wendell, Tufts University Kristen Wendell is Associate Professor of Mechanical Engineering and Adjunct Associate Professor of
Paper ID #34639Course Strategy: Low Stakes Assessment Approach to Engineering Economyinstruction using Revised Bloom TaxonomyMr. Michael B. O’Connor P.E., New York University Michael O’Connor, Retired Professional Civil Engineer (Maryland and California), M.ASCE, is a mem- ber of the ASCE Committee on Developing Leaders, History and Heritage, Civil Engineering Body of Knowledge (CEBoK), and Engineering Grades. Michael has been a practicing Civil Engineer with over 50 years of engineering, construction, and project management experience split equally between the pub- lic and private sectors. Programs ranged from the San