detailed engineering drawings, animations, and photorealisticrenderings. Typically, each week (two class periods) consisted of the following: Period 1: o Instructor presented the lesson(s) overview PowerPoint to the students. o Students were assigned to complete the lesson(s). The instructor emphasized following the guide with great detail and accuracy. Period 2: o Class reviewed the previous lesson(s). Instructor displayed and discussed modeling practices/procedures for the corresponding models provided in the lesson(s). o Instructor administered an online quiz in regard to that weeks’ lesson(s) o Students were assigned to complete the lesson(s
class, did not have any work experience.These numbers are important to show why it is essential to design the class with a focus onpractical applications, and structure the assignments with this focus, which we will discuss inmore detail below. Table 1 Learning Outcomes Covered by Each Assignment/Activity Targeted Learning Assignment/Activity Description Outcome(s) Case studies, quantitative problems, conceptual short Homework
(CAM), and Computer Aided Engineering (CAE) [1]. The riseof digital manufacturing and the reliance on these technologies to reduce development timewhile improving product design and quality has been exponentially increasing over the past fewyear [2]. The reliance on digital manufacturing by industry has grown as high performancecomputing technology evolves. Recognizing the far reaching implications of this technology onresearch, several government programs in the 1980’s and 1990’s promoted the growth of highperformance computing. Today, programs such as XSEDE promote the use of high performancecomputing to conduct research in multiple fields such as engineering by supporting scholars andresearchers in using these computational resources [3
Teaching Innovation Professorship. The authors would like tothank the students for their feedback. This study complied with the University of Toronto’spolicies on research ethics.7.0 References[1] K. Barns , R. C. Marateo, and S. P. Ferris, “Teaching and Learning with the Net Generation,”Innovate: Journal of Online Education, vol. 3, no. 4, April 2007.[2] M. Prensky, “Digital Natives, Digital Immigrants,” On the Horizon, vol. 9, no. 5, pp. 67–85,Oct. 2001.[3] B. Mitra, J. Lewin-Jones, H. Barrett & S. Williamson, ‘The use of video to enable deeplearning”, Research in Post-compulsory Education, vol. 14, no. 4, pp. 405- 414, July 2010[4] A. Clifton, and C. Mann, “Can YouTube enhance student nurse learning”, Nurse EducationToday, vol. 31, no. 4
acknowledge the contributions of our USD colleagues to this workincluding Drs. Samantha Breslin, Michelle Camacho, Diana Chen, Austin Choi-Fitzpatrick,Odesma Dalrymple, Laura Gelles, Ming Huang, Gordon Hoople, Imane Khalil, Alex Mejia,Breanne Przestrzelski, and Elizabeth Reddy. We thank our Advisory Board members, Drs. AlanCheville, Donna Riley, and Linda Vanasupa, for helping us to reimagine what we can do throughthis grant. Finally, we thank the students who have engaged with these activities and providedhelpful feedback.This work is supported by the National Science Foundation’s Revolutionizing Engineering andComputer Science Departments (RED) program through Award #1519453.References1 R. Olson, S. Lord, M. Camacho, M. Huang, L. Perry, B
; advanced methods for improving hardware and physical network security; evolvable hardware; and evolutionary and recon- figurable computing. He is a senior member of the IEEE organization and several societies, a member of the ASEE and ACM organizations.H. Shelton Jacinto, Boise State University H S. Jacinto received his BS degree in electrical and computer engineering from Boise State University, Boise, Idaho, USA, in 2017, and is currently pursuing a PhD in electrical and computer engineering from Boise State University. From 2015 to 2017 he worked with Idaho National Labs conducting research on self-powered wireless sensor networks and their security. From 2016 he now works in the High Per- formance Reconfigurable
Dec. 9, 2017].[11] J. A. Fredricks and S. D. Simpkins, “Promoting positive youth development through organized after-school activities: Taking a closer look at participation of ethnic minority youth,” Child Development Perspectives, vol. 6, no. 3, pp. 280–287, Sep. 2012.[12] B. A. Danielak, A. Gupta, and A. Elby, “The marginalized identities of sense-makers: reframing engineering student retention,” in 2010 IEEE Frontiers in Education Conference (FIE), 2010, pp. S1H–1–S1H–6.[13] R.M. Marra, K.A. Rodgers, D. Shen, and B. Bogue, “Women engineering students and self-efficacy: A multi-year, multi-institution study of women engineering student self- efficacy,” Journal of Engineering Education, vol. 98, no
of prior studies of STEM identity. Asengineering identity frameworks are further refined we can start to investigate theongoing work of identity formation amongst individuals and groups, thus broadening ourunderstanding of what it means to be an engineer.AcknowledgementsThis research was funded by the National Science Foundation through grants #1636449and #1636404. The authors wish to thank department chairs, faculty members,instructors, and students who made the collection of this data possible. Any opinions,findings, and conclusions in this article are the authors’ and do not necessarily reflect theviews of the National Science Foundation.ReferencesBlake-Beard, S., Bayne, M. L., Crosby, F. J., & Muller, C. B. (2011). Matching by race
question was asked on homework in these offerings as well. The homework assignments were provided to the students in the current offering but not assigned for credit. “What major assumption(s) did you make in problem 2 [holding the shank of the leg in the air] to make the problem tractable (able to calculate the muscle force) and describe in one sentence why this is/these are valid?” Essentially the same question regarding simplifications (single muscle acting at a point, frictionless joint) was asked in the four previous offerings. “The way our bodies are structured, the forces in the muscles and bones are very high for relatively low external forces (e.g., the 5 lb. weight I held out at arm’s length in class resulted in tens of
-Seng Pang and Jerry Pack, ”Stress analysis of non-conventional composite pipes” Journal of Composite Structures, 79(1), 2006, pp. 125-132. 3. M.A. Wahab, M. S. Alam, M.J Painter and P.E. Stafford, ”Experimental and Numerical Simulation of Restraining Forces in Gas Metal Arc Welded Joint,” American Welding Journal (Research c American Society for Engineering Education, 2017 Paper ID #17950Supplement) 85(2), February, 2006. 4. M.S. Alam and M.A. Wahab, ”Modeling of Fatigue Crack Growthand Propagation Life of Joint of Two Elastic Materials Using Interface Elements,” International Journal ofPressure Vessel and
Directors, President’s Club, Nittany Lion Club, ASEE, ASME, AIAA, AKC, GRCA. He has been honored with a LMC/KAPL Leadership Award, GE Phillippe Award, PSEAS Outstanding service award, Jaycee International Senatorship, and an ESM Centennial Fellowship. c American Society for Engineering Education, 2018 Using a Systematic Review to Identify Leadership Competency Needs Across Engineering DisciplinesBackgroundSince ABET and industry began calling for leadership and professional skill development inengineering students in the early 2000’s, the literature involving engineering education andtraining has evolved to include a variety of studies and articles to address this gap in
in a chronological order so a comparison and tracking thegrowth of CT practice might be possible. Nevertheless, this study contributes to the teaching andintegration of CT in K-12 science and engineering education. From the perspectives of researchas well as practice, learning environments are important for fostering student CT practice asresults show that specific CT practices seem to relate to specific design and redesign tasks(Yang, Swanson, et al., 2018). Therefore, the design of a suitable environment is critical for theintegration and fostering CT in students. ReferencesAn, S. & Lee, Y. (2014). Development of pre-service teacher education program for computational thinking. In M
and its resulting variables (roughness and rAVGCIR) byinvestigating relationships between the new experimental values and values of known relevancesuch as grade point average.Such computer-based assessments will prove to provide a more fair and equitable assessment ofdiverse student populations and their respective demographic subgroups. A better understandingof the individual components that comprise a student, especially when presented in a simple andeasily digestible manner, is surely to improve the instruction and learning experiences for allstudents.AcknowledgementsThis work is supported by NSF IUSE/PFE:RED - #1623141and covered under University ofIllinois IRB #14864.References[1] C. Ricketts and S. Wilks, "Improving student
pre-college students will help meet the growingdemand for engineers.References[1] Project Lead the Way, “About Us.” [Online]. Available: https://www.pltw.org/about-us. [Accessed: 20-Jan-2019].[2] I. Miaoulis, “K-12 Engineering: The Missing Core Discipline,” in Engineering in Pre- College Settings, S. Purzer, J. Strobel, and M. Cardella, Eds. West Lafayette: Purdue University Press, 2014, pp. 21–33.[3] R. L. Carr, L. D. Bennett IV, and J. Strobel, “Engineering in the K-12 STEM Standards of the 50 U.S. States : An Analysis of Presence and Extent,” J. Eng. Educ., vol. 101, no. 3, pp. 539–564, 2012.[4] T. J. Moore, K. M. Tank, A. W. Glancy, J. A. Kersten, and F. D. Ntow, “The Status of Engineering
. Codes whichappeared in a greater number of interviews were determined to indicate more significantelements of the data, and representative quotes accompanying these codes were used as supportfor conclusions. The codebook used is shown in Table 2.Table 2. Code Book with Definitions and Associated Leadership Styles Code Definition Leadership Style Association(s) Active listening Showing empathy, care about country-cub management opinions of employees, etc. team management Hands-off approach Allowing employees to be impoverished management autonomous, reach goals on their middle-of-the
, andconclusions or recommendations expressed in this material are those of the author(s) and do notnecessarily reflect the views of the National Science Foundation. ReferencesBarr, V., & Stephenson, C. (2011). Bringing computational thinking to K-12: what is Involved and what is the role of the computer science education community? ACM Inroads, 2(1), 48-54.Brennan, K., & Resnick, M. (2012). New frameworks for studying and assessing the development of computational thinking. In Proceedings of the 2012 annual meeting of the American Educational Research Association, Vancouver, Canada.Computer Science Teacher Association (CSTA), & International Society for Technology in
learning, which may inturn increase STEM grades. Finally, we will also determine whether the scale has predictivevalidity over longer time periods on the psychological variables assessed in this study.We are optimistic about the potential to develop a reliable measure of STEM study strategies, aswell as explore whether intervening to change students’ study behaviors can improve importantSTEM outcomes.AcknowledgementsWe are grateful to the National Science Foundation (NSF-DUE #1565032) for funding thisstudy.References[1] Rach, S., & Heinze, A. (2011). Studying mathematics at the university: The influence of learning strategies. Presented at the 35th Conference of the International Group for the Psychology of Mathematics Education, Ankara
Support Hands-on Learning in the Teaching of Control and Systems Theory,” Engineering Education, vol. 9, no. 1, pp. 62–73, Jul. 2014.[5] P. S. Shiakolas and D. Piyabongkarn, “Development of a real-time digital control system with a hardware-in- the-loop magnetic levitation device for reinforcement of controls education,” IEEE Transactions on Education, vol. 46, no. 1, pp. 79–87, Feb. 2003.[6] R. M. Reck and R. S. Sreenivas, “Developing a new affordable DC motor laboratory kit for an existing undergraduate controls course,” in American Control Conference (ACC), 2015, 2015, pp. 2801–2806.[7] S. S. Nudehi, P. E. Johnson, and G. S. Duncan, “A control systems laboratory for undergraduate mechanical engineering
Paper ID #15618Collaboration between Seniors and Freshmen on Senior Capstone ProjectsProf. Anthony Butterfield, University of Utah Anthony Butterfield is an Assistant Professor (Lecturing) in the Chemical Engineering Department of the University of Utah. He received his B. S. and Ph. D. from the University of Utah and a M. S. from the University of California, San Diego. His teaching responsibilities include the senior unit operations laboratory and freshman design laboratory. His research interests focus on undergraduate education, targeted drug delivery, photobioreactor design, and instrumentation.Kyle Joe Branch
engineering librarians in thoseservices. The study involved the engineering librarians at all United States Class 15 (Very HighResearch Activity (RU/VH)) and Class 16 (High Research Activity (RU/H)) institutions per the2010 Basic Carnegie Classification of Institutions of Higher Education. The Classifications DataFile can be obtained at http://carnegieclassifications.iu.edu/2010/resources/. IRB clearance forthe survey was obtained from both [university A] and [university B]. The authors gathered the e-mail addresses of the engineering librarian(s) by inspection of the library website of eachinstitution. The survey was meant to elicit responses from a population that include theengineering librarians at all doctoral degree granting institutions
fair was used to make families aware of the manySTEM resources in Boston as well as to pique their interest in STEM. Engaging families is apriority of the LSA in order to encourage parents to advocate for STEM offerings in schools, aswell as to encourage the parents, who are often very young, to consider STEM education andcareer pathways for themselves.Another key feature of this event was the participation of NSF S-STEM electrical engineeringscholars from Suffolk University, who are graduates of Boston Public High Schools and who arepredominantly students of color themselves. These students engaged the fair participants inhands-on experiments about energy and electricity and served as role models for the participantsand their families
upon work supported by the National Science Foundation under Grant No.1262806. 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. Graduate students Mr. Andreas Febrian, Mr. Matthew Cromwell, Mr. Moe Tajvidi,Ms. Maria Manuela, and Mr. Ben Call are acknowledged for their efforts in assisting inmentoring REU students. The project external evaluator Dr. Margaret Lubke is alsoacknowledged for her efforts in conducting independent evaluation of this program.Bibliography[1] Russell, S. H., Hancock, M. P., and McCullough, M., 2007, “The Pipeline: Benefits of Undergraduate Research Experiences,” Science, Vol
“engineering intuition.”References1 Raskin, P. Decision-Making by Intuition--Part 1: Why You Should Trust Your Intuition. Chemical Engineering 95, 100 (1988).2 Gigerenzer, G. Short cuts to better decision making. (Penguin, 2007).3 Kahneman, D. Thinking, fast and slow. (Farrar, Strauss, and Giroux, 2011).4 Elms, D. G. & Brown, C. B. Intuitive decisions and heuristics–an alternative rationality. Civil Engineering and Environmental Systems 30, 274-284 (2013).5 Dreyfus, S. E. & Dreyfus, H. L. A Five-Stage Model of the Mental Activities Involved in Directed Skill Acquisition (A155480). (1980).6 Chen, J. C., Whittinghill, D. C. & Kadlowec, J. A. Classes that click: Fast, rich feedback to enhance
significant learningexperience not for the academic credits. Table 1 Senior Design Projects Completed at WIU School of Engineering Number of Number of Number of Senior Students in Experts Semester Senior Design Projects Sponsors Design Project Involved in Projects Team Project S'10 - F'10 Lincoln Electric Welder 1 1 8 John Deere F'10 - S'11 Transit Project 1
,execution, personal drive and teamwork – are essential competencies for any institutionproviding engineering leadership education.A more detailed literature review comparing the results from this study to other similar researchmay provide additional insight. Further research is also required in order to confirm the results,and a wider range of programs should be investigated to include in the analysis. As well, aproximity study of the competencies would assist in grouping them into program components. Page 26.634.9References[1] S. Kumar and J. K. Hsiao, “Engineers Learn ‘Soft Skills the Hard Way’: Planting a Seed of Leadership in Engineering
toreduce errors and to generally increase the effectiveness of the processes” 2. RFID systems canalso be utilized to track controlled substances in medical centers3. A. Gutierrez et al. 4 utilizedRFID technology for automatic identification, tracking and monitoring of blood products acrossthe blood banking spectrum within blood centers and medical centers. S.-J. Kim et al.5 developeda blood bag (unit) management system in hospitals to provide suitable blood transfusion topatients utilizing 13.5 MHz RFID system, active RFID tags together with a Sensor Network. This paper introduces a prototype system utilizing UHF RFID technology in real time formonitoring and tracking of blood units (bags) as they are transferred between the hospital bloodbank
studentlearning, student satisfaction, or both: in-class group problem solving[1], peer instruction[2], theuse of workbooks[3], physical demonstrations[4], interactive online textbooks[5], body-centeredtalk[6], inverted or flipped classrooms[7], etc. However, recommendations are scarce on how tobest combine these innovative activities into one class: how do we begin to assemble the partsinto a whole? In the 2000’s Steif and Dollár[8] suggested and then later showed[9] that thecombination of in-class conceptual questions and hands-on physical demonstrations in a Staticsclass resulted in high learning gains. Researchers later developed[10] and found[11] thatsupplemental web-based content was also beneficial to student learning. However, whileconceptual
) Strategic Thinking (S)Achiever Activator Adaptability AnalyticalArranger Command Developer ContextBelief Communication Connectedness FuturisticConsistency Competition Empathy IdeationDeliberative Maximizer Harmony InputDiscipline Self-Assurance Includer IntellectionFocus Significance Individualization LearnerResponsibility Woo Positivity StrategicRestorative RelatorResultsThe data collected for this study come from the online survey Clifton’s StrengthsFinder®. Thetop five
, but also to maintain pride in myself as my mother often encourages me to do.” Of important note, Scholar 1095’s mother passed away in November, 2014 and she currently has no family support structure or continued financial support. The program directors and directors of student support services are working closely with 1095 to ensure she receives strong support.” Scholar 1103 stated, “The price of college has put an increased financial burden on my family and me. With four younger siblings and my father being disabled with a lung condition these burdens are quite significant. I have coped with these financial pressures by striving to reduce costs, taking out loans when needed, and doing work on
tensormathematics, this approach prepares students for more advanced elasticity formulations andcomputational approaches to both solid and fluid mechanics. Page 26.1394.9 Skill #1 Formulate and solve beam deflection problems (outcome 3e). Superior 5 Identifies, explains and solves the equilibrium equation(s) and boundary conditions to determine the requisite deflection(s). Dimensions are consistent and correct. Good 4 Identifies (without explaining) and solves the equilibrium equation(s) and boundary