working in Kansas rather than exporting themajority out-of-state. The results from Table 3 show that WSU does a better job of producingEngineering graduates who stay in Kansas, proportionally speaking. The second observation is that there was a change in the percentage of the graduates staying andworking in Kansas after about 2015. For WSU, more than 60% of their graduates stayed in Kansasbefore 2015 while they were in the mid- to lower 50%’s after 2015. Somewhat similar trends can beseen for K-State (typically above the 42% average value vs. below average), KU (upper 30%’s vs.lower 30%’s), and the overall results for the three universities (upper 40%’s vs. lower 40%’s). Such atrend suggests that something was happening overall in the Kansas
S. Africa S. Africa USA USA Source of funding Public Public Public Public Campus type College town Suburban College town Suburban Other details Historically Historically Space- Land-grant Afrikaans English grant research research research research university
are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation.Reference[1] F. Chance, J. Robinson, and J. Fowler, “Supporting manufacturing with simulation: modeldesign, development, and deployment”, Proceedings of the 1996 Winter Simulation Conference,December 8-11, 1996, San Diego, CA.[2] Imai, M., Kaizen-The key to Japan's competitive success, New York, N.Y., Random House,1986.[3] S. Barraza, M. R. González, F. Gabriel.. “Bringing Kaizen to the classroom: lessons learned inan Operations Management course”. Total Quality Management & Business Excellence. 26. 1-15,2015.10.1080/14783363.2015.1068594.[4] W. D. Kelton, R. P. Sadowski, and D. T. Sturrock, Simulation with Arena, 6e, McGraw Hill,2013.[5
engineering faculty and practicing engineers,” Engineering Studies, vol. 5, no. 2, pp. 137–159, 2013. [8] J. Walther, S. E. Miller, and N. W. Sochacka, “A model of empathy in engineering as a core skill, practice orientation, and professional way of being,” Journal of Engineering Education, vol. 106, no. 1, pp. 123–148, 2017. [9] J. Walther, M. A. Brewer, N. W. Sochacka, and S. E. Miller, “Empathy and engineering formation,” Journal of Engineering Education, vol. 109, no. 1, pp. 11–33, 2020.[10] M. Pantazidou and I. Nair, “Ethic of care: Guiding principles for engineering teaching & practice,” Journal of Engineering Education, vol. 88, no. 2, pp. 205–212, 1999. [Online]. Available: https://onlinelibrary.wiley.com/doi/abs
survey will also be performed to compare traditional methods of teachingthe concepts to the described interactive learning methods.References:1. Prince M. Does active learning work? A review of the research. J Eng Educ. 2004;93:223-231.2. Lawson TJ. Active-Learning Exercises for Consumer-Behavior Courses. Teach Psychol. 1995;22:200-202.3. Watson DL, Kessler DA, Kalla S, Kam CM and Ueki K. Active learning exercises are more motivating than quizzes for underachieving college students. Psychological Reports. 1996;78:131-134.4. Bullard L, Felder R and Raubenheimer D. AC 2008-521: EFFECTS OF ACTIVE LEARNING ON STUDENT PERFORMANCE AND RETENTION. age. 2008;13:1.5. Townsend MAR, Moore DW, Tuck BF and Wilton KM. Self‐concept and Anxiety in University
evaluations, andevaluation questions will be added to specifically assess student opinions about the online format.Efforts will be made to compare the evaluations to those of similar courses taught by more traditionalmeans. We will also investigate retention statistics for students with and without early technical skillscourses, with some focus on at-risk students.References[1] Shyamalee, M. M. G. V., W. M. V. S. K. Wickramasinghe, and S. Dissanayake. "Comparativestudy on employability skills of engineering graduates of different disciplines." International Journal ofEducation and Information Technologies 7.4 (2013): 170-177.[2] Halverson, E,R, and Sheridan, K (2014) The Maker Movement in Education. Harvard EducationalReview: December 2014, Vol. 84
for the students to conduct further researchpending feedback on their preliminary findings and solution suggestions from clinical mentors.Additionally, students will perform low-fidelity prototyping of possible solutions to aid in needsscreening and can perform testing in the Center for Simulation, Research, and Patient Safety atCarilion Clinic. The final lectures conclude with biodesign content [8], and the students areexpected to further prioritize the needs that they have identified according to the potentialmarket, reimbursement strategy, and regulatory pathway. The ultimate deliverables include aprocess book and presentation to faculty and clinical mentors detailing the students’ journeythrough the course and the need(s) that they have
and accepted solutions, integrateinformation from many sources to gain insight, connect content from multiple courses to solve aproblem and become aware of the need to assess and manage risk. Additionally, it is expected thatstudents will become more adept at identifying resources and become more effective problemsolvers through collaborative open-ended projects, allowing them to teach and learn from peers.To tap into student motivation, project(s) are designed to allow for creative freedom, while beingsufficiently self-contained to avoid overly complicating the grading structure for the instructors.Module 1 has been implemented twice, however, we did not collect data in the initial offering.Anecdotal evidence (as qualitatively assessed by
asystematic review of literature on the impact(s) of involving undergraduates in engineeringoutreach with a particular focus on studies that report on the impact on the undergraduatestudents. Supporting this effort is the NSF EArly-concept Grant for Exploratory Research(EAGER) program.Introduction In response to the need to increase interest and persistence in STEM careers, manyuniversities have created organized outreach initiatives. Engineering outreach by undergraduatestudents takes different forms but can include leading summer camps, teaching afterschoolprograms, conducting classroom presentations, and hosting engineering fairs and competitionson colleges campuses. The focus of evaluation efforts for K-12 outreach programs is typically
. Butterfield, "Linking leader anti-prototypes and prototypes to gender stereotypes," Gender in Management: An International Journal, vol. 32, no. 2, pp. 128-140, 2017.[3] E. Bonilla-Silva, "Rethinking racism: Toward a structural interpretation," American sociological review, pp. 465-480, 1997.[4] C. Seron, S. Silbey, E. Cech, and B. Rubineau, "“I am Not a Feminist, but...”: Hegemony of a Meritocratic Ideology and the Limits of Critique Among Women in Engineering," Work and Occupations, vol. 45, no. 2, pp. 131-167, 2018.[5] K. Crenshaw, "Demarginalizing the intersection of race and sex: A black feminist critique of antidiscrimination doctrine, feminist theory and antiracist politics," U. Chi. Legal F
significant differences in perceivedabilities at either the course outset or end of the course across the control and experimentalsections. In experimental sections, the majority of team tasks were broken down and assigned,whereas in the control sections this was left up to the team. It is possible that students in controlsections were more aware of each other’s work because task assignments required ongoingnegotiation throughout the quarter. Alternatively, control teams who divided tasks throughout thequarter according to teammates’ perceived strengths may have felt able to assess teammates’contributions by referencing the perceived quality of the deliverable(s) for which each teammatewas primarily responsible.To gain additional insight, we isolated
redesign, the final outcome showed that the device did show mixed success and was ableto finally perform within most of the prescribed specifications and consistently threw a 5lb.pumpkin 75 ft.References[1] S. Dodge, Mlive.com, 21 October, 2019[2] R. L. Rhoton, “Assessment of a Multi-Goal Mechanical Engineering Design/Fabrication Project Used as a Mission-Critical Exercise,” in Proceedings of the 2019 ASEE NCS Conference, Grand Rapids, MI, March 2019.[3] B. S. Bloom, M. D. Engelhart, E. J. Furst, W. H. Hill and D. R. Krathwohl, axonomy of educational objectives: The classification of educational goals. Handbook I: Cognitive domain., New York: David McKay Company, 1956.[4] L. W. Anderson and L. A. Sosniak, Bloom's taxonomy, vol. 36
presented at 2007 Annual Conference & Exposition, Honolulu, Hawaii. https://peer.asee.org/23514. Krish, S. A practical generative design method. Computer-Aided Design, 43(1), 88–100. https://doi.org/10.1016/J.CAD.2010.09.009. 2011.5. Dogan, K. M., Suzuki, H., Gunpinar, E., & Kim, M.-S. A generative sampling system for profile designs with shape constraints and user evaluation. Computer-Aided Design, 111, 93– 112. https://doi.org/10.1016/j.cad.2019.02.002, 2019. 6
was interactive and engaging and they also reported the issues ofthe platform not being accessible all the time and the web service being slow.Survey 2 – Student experience with FPGA platformIn a second survey, students were asked to evaluate the 16 statements specifically on theirexperience with FPGA as in Table 2 using ratings R from 1 to 5. The ideally expected rating Rand score S values are also included for each statement in the table. A simple normalizationequation as follows brings the score S into the interval of [-1,1]. [𝑅(𝑛) − 3] 𝑆(𝑛) = , 𝑛 = 1,2, ⋯ ,16 2Table 2. Survey 2 statements regarding FPGA
., vol. 94, no. 1, pp. 121–130, Jan. 2005, doi: 10.1002/j.2168-9830.2005.tb00833.x.[2] “Criteria for Accrediting Engineering Programs, 2020 – 2021 | ABET.” [Online]. Available: https://www.abet.org/accreditation/accreditation-criteria/criteria-for-accrediting-engineering-program s-2020-2021/. [Accessed: 30-Jan-2020].[3] “College Factual,” College Factual, 20-Feb-2013. [Online]. Available: https://www.collegefactual.com/. [Accessed: 31-Jan-2020].[4] A. Yazidi, H. Henao, G.-A. Capolino, F. Betin, and F. Filippetti, “A Web-Based Remote Laboratory for Monitoring and Diagnosis of AC Electrical Machines,” IEEE Trans. Ind. Electron., vol. 58, no. 10, pp. 4950–4959, Oct. 2011, doi: 10.1109/TIE.2011.2109331.[5] R. M. Reck and R. S
. Nora Honken, University of Cincinnati Nora is an Assistant Professor in the Engineering Education Department at The University of Cincin- nati. She holds a PhD in Educational Leadership and Organizational Development for the University of Louisville, a MS in Industrial Engineering from Arizona State University and a BS in Industrial Engineer- ing from Virginia Tech. She also has extensive industrial experience.Dr. Patricia A Ralston, University of Louisville Dr. Patricia A. S. Ralston is Professor and Chair of the Department of Engineering Fundamentals at the University of Louisville. She received her B.S., MEng, and PhD degrees in chemical engineering from the University of Louisville. Dr. Ralston teaches
. Schott, “Engineering Technology Undergraduate Students a Survey of Demographics and Mentoring,” in ASEE Annual Conference, Tampa, FL, 2019.[3] A. M. Lucietto, “Identity of an Engineering Technology Graduate,,” in 123rd ASEE Annual Conference & Exposition, New Orleans, LA, 2016.[4] C. A. Malgwi, M. A. Howe, and P. A. Burnaby, “Influences on students' choice of college major,” Journal of Education for Business, vol. 80, no. 5, pp. 275-282, 2005.[5] J. S. Rolston, and E. Cox, "Engineering for the real world: Diversity, innovation and hands-on learning," International perspectives on engineering education, pp. 261-278: Springer, 2015.[6] A. Lucietto, M. Taleyarkhan, and E. Schott, “Engineering
://www.nestgenscience.org/. [Accessed: 09-Jan-2018].[2] “PLTW Engineering (9-12),” 2016. [Online]. Available: https://www.pltw.org/our- programs/pltw-engineering-curriculum. [Accessed: 22-Nov-2019].[3]Davis, D. C., Beyerlein, S. W. and I. T. Davis, Development and use of an engineer profile, Proc. American Society for Engineering Education Conf., Portland, OR, June 2005.[4] Ennis Jr., C. W., and Gyeszly, S. W. (1991). Protocol analysis of the engineering systems. Res. Engineering Design, 3, 15–22.[5] Mintzberg, H., Raisinghani, D., and Theoret, A. (1976). The structure of ‘unstructured’ decision processes. Admin. Sci. Quart., 21, 246–275.[6] Volkema, R. J. (1983). Problem formulation in planning and design. Management Science
Proceedings Frontiers in Education 35th Annual Conference, 2005, pp. F2E-8.[5] E. A.-L. Lee and K. W. Wong, "Learning with desktop virtual reality," Comput. Educ., vol. 79, pp. 49-58, 2014.[6] Z. Merchant, E. T. Goetz, L. Cifuentes, W. Keeney-Kennicutt, and T. J. Davis, "Effectiveness of virtual reality-based instruction on students' learning outcomes in K-12 and higher education: A meta-analysis," Computers & Education, vol. 70, pp. 29-40, 2014/01/01/ 2014.[7] V. S Pantelidis, Reasons to Use Virtual Reality in Education and Training Courses and a Model to Determine When to Use Virtual Reality vol. 2, 2009.[8] R. J. Stone, Haptic feedback: A brief history from telepresence to virtual reality, 2001.[9] K. C
increased bonding with team members and with the community andenhanced communication skills in the process [16]. This program sometimes included non-technical students in the team. Fruchter and Emery [17] defined the learning of students in cross-disciplinary teams in four phases: island of knowledge, awareness, appreciation, andunderstanding. Ilgen et al. [18] proposed three similar stages in team learning: forming,functioning, and finishing. Diverse and complex perspectives of team members at the beginningconverged to commonly agreed perspectives in a team learning environment. In addition,learning from the most knowledgeable and well-performing member(s) in the team increasedwith the difficulty level of assigned tasks. The literature on the
, and S. Vanderby, “ENGINEERING ECONOMICS TASK FORCE - FINAL REPORT,” 2015.[4] V. Clinton and S. Khan, “Efficacy of Open Textbook Adoption on Learning Performance and Course Withdrawal Rates: A Meta-Analysis,” AERA Open, vol. 5, no. 3, pp. 1–20, 2019.
. The biennial NSF digest “Women,Minorities, and Persons with Disabilities in Science and Engineering” gives a definition ofURM. The report states: “Women, persons with disabilities, and underrepresented minority groups—blacks or African Americans, Hispanics or Latinos, and American Indians or Alaska Natives—are underrepresented in science and engineering (S&E). That is, their representation in S&E education and S&E employment is smaller than their representation in the U.S. population” [4].Persons with disabilities are not included in the scope of this study. The survey instructions givenwere, “For the purposes of this study, we consider underrepresented minorities (URM) to beblacks or African
exploreaccelerations, angular velocities, and position in real-time with relative ease makes them aperfect in-class demonstration. The system is easy to use in class, and the students seem toengage better than with traditional in-class examples. PocketLabs promises to be a powerful toolfor teaching dynamics.References[1] A. C. Estes, R. W. Welch, and S. J. Ressler, “The ExCEEd Teaching Model,” Journal of Professional Issues in Engineering Education and Practice, vol. 131, no. 4, pp. 218–222, Oct. 2005, doi: 10.1061/(ASCE)1052-3928(2005)131:4(218).[2] A. A. Ferri and B. H. Ferri, “Blended Learning in a Rigid-Body Dynamics Course Using On- Line Lectures and Hands-On Experiments,” presented at the 2016 ASEE Annual Conference & Exposition, Jun
during the Summer 2020 semester. These sessions will consist of at least3 spaced training sessions before the scheduled session class (traditional). The periodic trainingwill be one training session per week for the “experimental” section, and it will be comparedwith the “control” section. The student's feedback pointed out that more training sessions couldhelp to improve the approach to achieve the targeted tolerance dimensions. Therefore, a feedbacksurvey will be implemented for the Summer 2020 cohort.Bibliography[1] Y. Weinstein, C. R. Madan, and M. A. Sumeracki, “Teaching the science of learning.,” Cogn. Res. Princ. Implic., vol. 3, no. 1, p. 2, 2018.[2] S. H. K. Kang, “Spaced Repetition Promotes Efficient and Effective Learning
actuators and programthe car in order to accomplish the following tasks upon execution of the program: 1. The desired speed of the car is taken from the user in m/s unit. Once the user enters the speed, the car starts moving. 2. The car follows a 2.5cm-wide black line on a white surface. 3. If there is an obstacle on the way, the car stops, goes around the obstacle, and continues its path.In addition to these features, students should be able to control the car manually from their phoneor their computer. Figure 1: Osoyoo Robot CarIII. A. HardwareThe main components in our robot car project are as follows: i. Line follower sensors ii. Ultrasonic sensor iii. Camera iv. DC motors v
by promoting the use of authenticliteracy practices while engaging in the solution process of a complex engineering problem.AcknowledgementsSupport for this work is provided by the National Science Foundation under Award No. EEC1664228. Any opinions, findings, conclusions, or recommendations expressed in this materialare those of the author(s) and do not necessarily reflect the views of the National ScienceFoundation. Some of this material is based on work accomplished while serving at the NationalScience Foundation.References[1] R. Schoenbach, C. Greenleaf, and L. Murphy, Reading for understanding: How reading apprenticeship improves disciplinary learning in secondary and college classrooms, 2nd ed. San Francisco, CA: WestEd
other words, the experience of relationality and ethical concern are ontologically priorto defining engineering’s role in a given moment. Returning to one of our recent publications [1],I would argue that we first feel and experience what is going on before we can reflectively thinkabout such experience. We feel and experience relationships with all that we encounter in a givenevent, and we are affected by those encounters. Responsibilities, obligations, and valuations arisetherefrom. In being affected by the multiplicity within an encounter, there is significant potentialfor conflict and difficulties associated with assigning/identifying value(s). Once the experienceoccurs, we objectify it, mine it for information, and seek to address it
Paper ID #29505Exploring the Educational Experiences of Women Who Persisted inEngineering: A Qualitative Case StudyCourtney Green P.E., Courtney S. Green, P.E. is a lecturer and academic advisor for the Office of Student Success and Develop- ment within Williams States Lee College of Engineering at the University of North Carolina at Charlotte. She holds a Master of Science in Engineering with a structural engineering concentration from University of North Carolina at Charlotte in 2008. She graduated Magna Cum Laude with a Bachelor of Science in Mathematics at Marshall University in 2004. Prior to her role at University