National Institutes of Health under Award NumberR25EB012963. The content is solely the responsibility of the authors and does not necessarilyrepresent the official views of the National Institutes of Health.References1 S. Purzer, N. Fila and K. Nataraja, "Evaluation of Current Assessment Methods in EngineeringEntrepreneurship Education", Advances in Engineering Education, vol. 5, no. 1, 2016.2 B. Przestrzelski and J. DesJardins, "The DeFINE Program: A Clinical Immersion forBiomedical Needs Identification", in American Society for Engineering Education ConferenceProceedings 2015, Seattle, 2015.3 B. Moyer, "Collaborative Efforts to Encourage Entrepreneurial Mindsets", in American Societyfor Engineering Education Conference Proceedings 2016, New
Paper ID #25890Teaching and Learning of Electrical and Computer Engineering Courses withHigh Mathematical ContentsDr. S. ”Hossein” Mousavinezhad P.E., Idaho State University Dr. Mousavinezhad, P.E., was the principal investigator of the National Science Foundation’s research grant, National Wireless Research Collaboration Symposium 2014; he has published a book (with Dr. Hu of University of North Dakota) on mobile computing in 2013. Professor Mousavinezhad is an active member of IEEE and ASEE Fellow having chaired sessions in national and regional conferences. He has been an ABET Program Evaluator for Electrical
, June 14-17, 2015, Seattle, WA5. J. Duke and D. Morris, 2002, “Assessing Undergraduate Mechanics Courses”, Proceedings of the 2002 ASEE Annual Conference and Exposition, June 16-19, 2002, Montreal, Canada6. D. Meyer,2006, “Strategies for Assessing Course Specific Outcomes”, Proceedings of the 2006 ASEE Annual Conference and Exposition, June 18-21, 2006, Chicago, IL7. M. Sanders, M. Thompson, M. El-Sayed, L. King, and M. Lindquist, 2006, “Assessing Interdisciplinary Engineering Capstone Project” Proceedings of the 2006 ASEE Annual Conference and Exposition, June 18-21, 2006, Chicago, IL8. S. Beyerlein, D. Davis, P. Thompson, M. Trevisian, and O. Harrison, 2006, “Assessment Framework for Capstone Design Courses”, Proceedings of
, A. Gupta, S. Hasanov, A. Nasirov, A. Elliott, F. Alifui-Segbaya, and N.Nanami, “The Trends and Challenges of Fiber Reinforced Additive Manufacturing,” TheInternational Journal of Advanced Manufacturing Technology, pp. 1-18, 2019,https://doi.org/10.1007/s00170-018-03269-7.[7] A. Imeri, N. Russell, J. Rust, S. Sahin, and I. Fidan, “MAKER: 3D Pen Utilization in 3DPrinting Practices,” Proceedings of the 2017 ASEE Annual Conference, ASEE 2017, Columbus,OH, USA, June 24-28, 2017, [Online]. Available: https://peer.asee.org/27723, [Accessed March12, 2019].[8] A. Imeri, N. Russell, J. Rust, S. Sahin, and I. Fidan, “MAKER: 3D Printing as an Alternativeto Fabricate the Motorsports Parts,” Proceedings of the 2017 ASEE Annual Conference, ASEE2017
significant fraction of the students fromexcessive dependence on solution manuals. Reference[1] Harris Cooper, Jorgianne C. Robinson, Erika A. Patall, “Does homework improve academicachievement? A synthesis of research, 1987–2003”, Review of Educational Research, 76(1), pp.1–62 (2006).[2] Autar Kaw, “Does Collecting Homework Improve Examination Performance?”, Proceedingsof 117th ASEE Annual Conference, Louisville, Kentucky, June 20 - 23, 2010.[3] Kathy S. Jackson, Mark D. Maughmer, “Promoting Student Success: Goodbye to GradedHomework and Hello to Homework Quizzes”, Proceedings of 124th ASEE Annual Conference,Columbus, Ohio, June 25 - 28, 2017.[4] Gilbert C. Brunnhoeffer III, “Homework Is So 20th Century
autoethnographic study of the comprehensive exam process,” Int. J. Dr. Stud., vol. 9, pp. 347–360, 2014.[4] J. A. Schafer and M. J. Giblin, “Doctoral comprehensive exams: Standardization, customization, and everywhere in between,” J. Crim. Justice Educ., vol. 19, no. 2, pp. 275–289, 2008.[5] M. S. Anderson and J. P. Swazey, “Reflections on the graduate Student experience: An overview,” In M. S. Anderson (Ed), The experience of being in graduate school: An exploration. New Directions for Teaching and Learning, No. 101. Jossey-Bass, San Francisco, 1998.[6] H. Estrem and B. E. Lucas, “Embedded traditions, uneven reform: The place of the comprehensive exam in composition and rhetoric PhD programs,” Rhetor. Rev., vol
UnabridgedMerriam-Webster Inc. Springfield Massachusetts, USA. 2002.[5] Shekoyan, V., Dehipawala, S., Tremberger Jr., G., Cheung, T., Improving Fluid IntelligenceCritical Thinking Via Special Reasoning Ability in Community College Pre-Engineering PhysicsClasses. 2017 ASEE Mid Atlantic Spring Conference.[6] Rotante, T., Brem, S., Hubele, N., Runger, G., Kennedy, K., Case Based Reasoning forEngineering Statistics, 2003 ASEE Annual Conference, NSF Grantees Poster Session.[7] Papadopoulos, C., Rahman, A, Bostwick, J., 2007 ASEE Annual Conference and Exposition.[8] Golanbari, M., Garlikov, R., Employing Socratic Pedagogy To Improve Students’ CriticalReasoning Skills, Teaching by Asking Instead of Telling, 2008 ASEE Annual Conference andExposition.[9] Liu, A
industry-supplied materials. Modeling software is used, with the actualCAD model being provided to the students (Figure 4), with enough information formodification(s) to be done by students.Figure 3. Powerpoint shot for Module 1. Figure 4. Solid model for relief valve (M2).The analysis material is based on SolidWorks Simulation; at the component level, the objective isto get students exposed to numerical analysis techniques to obtain performance information(Figure 5). Most of the calculations are CFD simulation for pressure drops (e.g., efficiency) as afunction of operational conditions. Tutorial on software use have been developed, and basiccomponents like valves, pipes, and gear pumps are used in this module. Students work
be slightly altered to reinforce the principles of diversity andinclusion as a consistent theme throughout the workshop. Finally, every seminar andevery piece of training literature should be reviewed with the specific awareness ofconsidering people of all races, genders and background.Clearly, this is not the final solution to a field that continues to evolve very quickly, but itrepresents a good start. Hopefully these steps will provide lessons learned and productivefeedback that will lead to even better changes in the future.Bibliography1 Estes, A.C., Ressler, S.J., Saviz, C.M., Barry, B.E., Considine, C. L., Coward, D., Dennis, N. D.,Hamilton, S. R., Hurwitz, D. S., Kunberger, T., Lenox, T. A., Nilsson, T. L., Nolen, L., O'Brien, J. J
Makerspaces, 1 being not at all and 7 being very much.ACKNOWLEDGEMENTS: This material is based upon work supported by the NationalScience Foundation under Grant No. EEC 1531375. Any opinions, findings, and conclusions orrecommendations expressed in this material are those of the author(s) and do not necessarilyreflect the views of the National Science Foundation.REFERENCES:[1] D. N. Beede, T. A. Julian, D. Langdon, G. McKittrick, B. Khan and M. E. Doms, "Women in STEM: A Gender Gap to Innovation," Economics and Statistics Administration Issue Brief, vol. 04, no. 11, 2011.[2] R. M. Marra, K. A. Rodgers, D. Shen and B. Bogue, "Women Engineering Students and Self- Efficacy: A Multi-Year, Multi-Instituion Study of Women Engineering Student Self
(0)#define b (1)#define c (2)#define d (3)#define e (4)#define f (5)#define g (6)#define h (7)#define i (8)#define j (9)#define k (10)#define l (11)#define m (12)#define n (13)#define o (14)#define p (15)#define q (16)#define r (17)#define s (18)#define t (19)#define u (20)#define v (21)#define w (22) #define x (23) #define y (24) #define z (25) void printVR(uint8_t *buf) { Serial.println("VR Index\tGroup\tRecordNum\tSignature"); Serial.print(buf[2], DEC); Serial.print("\t\t");if(buf[0] == 0xFF){ Serial.print("NONE"); }else if(buf[0]&0x80){ Serial.print("UG "); Serial.print(buf[0]&(~0x80), DEC); }else{ Serial.print("SG "); Serial.print(buf[0], DEC); } Serial.print("\t"); Serial.print(buf[1], DEC); Serial.print("\t\t
using an automated system to grade AutoCAD files that focusedon 2D drawings [7]. In this method, students email homework solutions to a dedicated emailaddress. The automated system then reads the emails and evaluates the 2D drawing(s) submitted.The advantage of this system is that students could receive quick feedback, although the gradingmethod’s generalization to 3D CAD is not apparent.Ingale et al. developed a tool in Matlab which would evaluate section views submitted as picturefiles by the students. Their tool had the advantage of being CAD software independent since itonly used image files and image recognition techniques. However, the submitted picture fileshad no dimensions shown, and the tool could not process other common views like
common goal of increasing the number of female professionals in the STEMfields.After completing Girl Scouts STEM Day grogram, students reflected that the workshops wereinteresting and they enjoyed STEM fields. Our future direction would be to track the number ofstudents who enroll in STEM fields for college after they finish Girl Scouts STEM activies.References:[1] Sahin, A., Ayar, M. C., and Adiguzel, T., "STEM Related After-School Program Activities and AssociatedOutcomes on Student Learning", Educational Sciences: Theory and Practice, 14(1), 309-322, 2014.[2] Ma, G., and Ma, L., "Retaining Female Students in a Robotics Program", Proceedings of the 2017 AmericanSociety for Engineering Education conference and exposition, 2017.[3] Crowe, S
, gender and ethnicity issues, transfers, and matriculation models with MIDFIELD as well as student veterans in engi- neering. Her evaluation work includes evaluating teamwork models, broadening participation initiatives, and S-STEM and LSAMP programs.Prof. Michelle M. Camacho, University of San Diego Michelle M. Camacho is Professor of Sociology at the University of San Diego. She began her career at UC San Diego in 1999 as a postdoctoral fellow at the Center for US Mexican Studies, and later as a UC Faculty Fellow in Ethnic Studies. In 2015-16, she returned to UC San Diego as a fellow of the American c American Society for Engineering Education, 2019
, all variables were retained.Demographics were then inserted into simple linear regression models to understand how theydid or did not predict the five separate engagement variables (behavioral attention, effort, andparticipation; positive and negative emotional engagement). All demographic variables in theregression models were effect coded as summarized in Table 3. Table 3: Effect Coding of Independent Variables for Linear Regression Models Characteristic Variable Effect Coding Name(s) Race White White = -1; Asian = 1 Asian Asian
veterans currently comprise 4% of Americancollege students [6]. ACE credit recommendations have changed to reflect these shifts inmilitary training and academic content. This paper discusses the extent to which changes inmilitary training, specifically that provided by the United States Army, have affected ACE’scredit recommendations at the undergraduate level.IntroductionThe American Council on Education (ACE) is based in Washington, DC. A contractor for theDepartment of Defense, ACE oversees academic evaluation of military courses. According totheir website: “ACE has provided a critical link between the U. S. Department of Defense and higher education and in this role helps our nation’s military members and veterans gain access
, 2017.[3] NGSS Lead States. (2013). Next generation science standards: For states, by states. Washington, DC: The National Academies Press.[4] J. Ravitz, “Beyond Changing Culture in Small High Schools: Reform Models and Changing Instruction With Project-based Learning,” Peabody Journal of Education, vol. 85, pp. 290-312, 2010.[5] Ignite (formerly Industry Initiatives for Science and Math Education [IISME]). Retrieved from http://www.igniteducation.org/about/impact/ on October 27, 2017.[6] J. Dubner, S. Silverstein, N. Carey, J. Frechtling, T. Busch-Johnsen, J. Han, G. Ordway, N. Hutchison, J. Lanza, J. Winter, J. Miller, P. Ohme, J. Rayford, K. Weisbaum, K. Storm, and E. Zounar, “Evaluating Science
as static method or instance 1. Define method header based on problem method 2. Define return statement at the end a. If static, use the class name 3. Define method body/logic b. If instance, must have or create an instance a. Determine types of logic (expression, selection, 2. Write (instance / class) dot method name and ( ) loop, etc.) 3. Determine whether parameter(s) are appropriate b. Define internal variables a. Number of parameters passed must match method c. Write statements declaration b. Data types of parameters passed must match method declaration (or
this endeavor, common engineering tools can be used to streamline thedevelopment, design, and evolution of these student-focused programs.This project illustrations the adaptation of one engineering technique used in human-centereddesign, the creation of personas, to help in the design and evolution of a need-based scholarshipprogram with professional development requirements.BackgroundCampbell University’s School of Engineering is able to offer students need-based scholarshipsthrough an NSF S-STEM grant. As part of this program, students are expected to take part in avariety of professional development activities including mentoring, industry tours, tutoring, andinternship preparation assistance. These activities were chosen as they are noted
consider quantitative accreditationstandards. In an era when a majority of engineering schools did not yet have extensive offeringsin engineering science, quantitative standards were the quickest way of getting U.S. engineeringschools to accommodate the perceived curricular needs of the Cold War era [23].EC 2000’s OriginsThe Cold War consensus favoring the engineering sciences generally held into the 1970s.Nevertheless, as concerns about U.S. manufacturing productivity and national competitivenessgrew during the 1970s and 1980s, there emerged a sense that the U.S. was winning one front ofthe Cold War, only to be falling behind on the other. While not all U.S. colleges and universitiesembraced the engineering sciences as strongly as others, there
valuable in managing the teams and their learning experience during thecourse and later for reflecting on the efficacy of the learning activities and determiningwhere improvements may be needed. This method requires at least one member of aninstructional team or a single instructor to teach and evaluate the same course(s) for morethan a single iteration. A modified version could be employed if a researcher were engagedin the course observations and evaluations over time with different instructors. The efficacyof the latter model has not been tested.Both qualitative and quantitative data are collected while teaching the design courses,managing the teams, and their projects. The primary purpose of the data collected is studentlearning activities and
, R. V. Kenyon, and J. C. Hart, “The CAVE: audio visual experience automatic virtual environment,” Commun. ACM, vol. 35, no. 6, pp. 64–73, 1992.[6] H. Ohtani and R. Horiuchi, “Scientific visualization of magnetic reconnection simulation data by the CAVE virtual reality system,” Plasma Fusion Res., vol. 3, pp. 054–054, 2008.[7] S. K. Tang et al., “How to Simulate and Realise a Disappeared City and City Life?-A VR Cave Simulation,” 2002.[8] D. A. Bowman, D. Koller, and L. F. Hodges, “Travel in immersive virtual environments: An evaluation of viewpoint motion control techniques,” in Virtual Reality Annual International Symposium, 1997., IEEE 1997, 1997, pp. 45–52.[9] G. Robertson, M. Czerwinski, and M. Van Dantzich
Paper ID #24810Utility of Reading Assignments in Environmental Engineering Education forEffective Learning and Greater Student Engagement in an Era of InnovativePedagogy and Emerging TechnologiesDr. Sanjay Tewari, Missouri University of Science & Technology Dr. Tewari is Assistant Teaching Professor of Civil Engineering at the Missouri University of Science & Technology, Rolla, MO. Prior to joining Missouri S&T, he worked as Assistant Professor at Louisiana Tech University. He earned his Bachelor of Engineering (Civil Engineering) and Master of Technology (Chemical Engineering) in India. He later joined Texas A
= −2.0 log ( + ) (1) √𝑓 3.7𝐷 𝑅𝑒 √𝑓where 𝜖 represents the roughness in (𝑚), 𝐷 is diameter (𝑚), and 𝑅𝑒 is the Reynolds number: 𝜌𝑉𝐷 𝑅𝑒 = (2) 𝜇where 𝜌 is the fluid’s density (kg/m3), 𝑉 is the fluid’s velocity (m/s), and 𝜇 is the dynamic viscosity(N.s/m2). It should be mentioned that Eq. (1) is valid only for 𝑅𝑒 > 4000, which serves as thecriterion for turbulent flow. This is an implicit equation for 𝑓, which means we cannot find
based on where you are (e.g., academia, industry, national lab, or other places). 3. How does a student's ability to think interdisciplinarily within the ePortfolio influence ote. Provide the response based on where their competitiveness for future positions? N you are (e.g., academia, industry, national lab, or other places).For each student’s ePortfolio, employers were invited to point out the strength(s) and areas ofimprovement(s). Inputs for the following two survey questions answered RQ3 (i.e., what areemployers’ suggestions on developing an ePortfolio?). 4. What are the strengths of this student’s ePortfolio? Note. Provide the response based on where you are (e.g
learning readiness and project-based learning outcomes: the case of international Masters students in an engineering management course,” European Journal of Engineering Education, vol. 32, no. 4, pp. 453–465, Aug. 2007.[3] G. Zavala, M. E. Truyol, and A. Dominguez, “Professional development program on active learning for engineering faculty in Chile: First stage,” in ASEE Annual Conference and Exposition, Conference Proceedings, 2017, vol. 2017.[4] M. Marques, S. F. Ochoa, M. C. Bastarrica, and F. J. Gutierrez, “Enhancing the Student Learning Experience in Software Engineering Project Courses,” IEEE Transactions on Education, vol. 61, no. 1, pp. 63–73, Feb. 2018.[5] L. F. Capretz, “Bringing the human factor to software
curriculum. Following this there was a surgein publications regarding ethics education at the annual conferences for the American Society forEngineering Education (ASEE). A common concern which kept surfacing were questionsregarding how to measure the effectiveness of new curricular efforts geared towards ethics. Asnoted by a team at Purdue [4], one of the only reliable scales for measuring ethical reasoningmechanisms was the current version of the Defining Issues Test (DIT2). The team noted that,although the DIT2 was a validated measure for the general population, it may not be sufficient tomeasure engineering-specific aspects of moral judgment [5]. In response to this criticism of theDIT2’s appropriateness within engineering education, they
performance betweenmodalities. Future research should also include this element of analysis.References[1] Galanek, J. D., Gierdowski, D. C., & Brooks, D. C. (2018). “ECAR Study of Undergraduate Students and Information.” Educause Center for Analysis and Research.[2] Pilgrim, J., Bledsoe, C., & Reily, S. (2012). “New technologies in the classroom.” Delta Kappa Gamma Bulletin, 78(4).[3] JBKnowledge. (2017). The 6th Annual Construction Technology Report, accessed on 1/6/2019: https://jbknowledge.com/2018-construction-technology-report-survey[4] Kim, J. (2018) "A Study to Investigate Using Mobile Devices in the Construction Management Classroom as Rationalized by the Needs of Industry", 2018 Creative
aseries of one or more rounds, each approximately one hour in total duration, with individualsections for introduction, design, build, disassembly, and debriefing. The 20-minute live playsession shown in Figure 5 is a subset of the one-hour round.The introduction addresses background information specific to the learning objectives andexplains the roles, rules, objectives, and constraints for the simulation activity. Participants splitinto teams and pick a unique team name to establish a common identity.The 10-20-minute design period focuses on the LEGO vehicle(s) to be assembled. Based on theapplication, teams either review the master/blueprint or create a new vehicle design usingsupport tools such as cost models or customer. In addition to
. Robertson, A Guide to Faculty Development, Second Edition. San Francisco, CA: Jossey-Bass, 2010.[2] National Organization for Research Development Professionals. (n.d.) http://www.nordp.org/ [Accessed June 1, 2017].[3] A. Kezar and S. Gehrke “Communities of Transformation and their work scaling STEM reform.” Pullias Center for Higher Education, Rossier School of Education, University of Southern California, 2015. Available: https://pullias.usc.edu/download/communities-of-transformation-and-their-work-scaling- stem-reform/ [Accessed Feb. 4, 2019][4] Stanford University D. School, “The inspiration walk.” Available: https://dschool.stanford.edu/resources/the-inspiration-walk. [Accessed Feb. 4, 2019][5