Characterize Differences Between Engineering Majors. Proceedings of the ASEE/IEEE Frontiers in Education Conference, Oklahoma City, OK. 13. Faber, C., Grigg, S., Kirn, A., Chasmar, J. and Benson, L. (2014). Engineering Student Motivation and Perceived Metacognition in Learning Communities. Proceedings of the 2014 ASEE Annual Conference, Indianapolis, IN. 14. Kirn, A. and Benson, L. (2015). Engineering Students’ Perceptions of the Future: Exploratory Instrument Development, Proceedings of the ASEE 2015 Annual Conference, Seattle, WA.15. Benson, L. and Borrego, M. (2015). Guest Editorial: The Role of Replication in Engineering Education Research. Journal of Engineering Education, 104(4):388–392.16
Should Know About Flipped Classrooms, " EDUCAUSE Learning Initiative, 2012. Web. 20 May 2013. [4] Bachnak, R., and Maldonado, S. A., “A Flipped Classroom Experience: Approach and Lessons Learned”, Proceedings of the 121st ASEE Annual Conference & Exposition, Indianapolis, June 2015.[5] Mason, G., Shuman, T. R., and Cook, K. E., “Inverting (Flipping) Classrooms – Advantages and Challenges”, Proceedings of the 120th ASEE Annual Conference & Exposition, Atlanta, June 2013.[6] Margulieux, L. E., Bujak, K. R., McCraken, W., M., and Majerich, D., “Hybrid, Blended, Flipped, and Inverted: Defining Terms in a Two Dimensional Taxonomy”, 12th Annual Hawaiian International Conference on Education, January 2014[7
2012 American Society for Engineering Education Annual Conference. San Antonio, TX.: American Society for Engineering Education.5 Triola, M. (2010). Elementary Statistics. 11th Ed. San Francisco, CA.: Addison-Wesley.6 College of Technology (2012). 2012 MS Student Handbook. West Lafayette, IN.: Graduate Office, College of Technology.7 Dyrenfurth, M., Newton, K., Schuver, M. & Elliott, S. (2009). ROI: Return on Investment as a Factor in Designing Graduate Research Projects for Mutual Benefit. In Proceedings of the 2009 American Society for Engineering Education Annual Conference. Austin, TX.: American Society for Engineering Education.8 Springer, M. L., Bertoline, G. R., & Schuver, M. T. (2013
persistence.Journal of Engineering Education. 2005; 94(4); 419-425.2. Besterfield-Sacre M, Atman C, Shuman L. Characteristics of freshman engineering students: models fordetermining student attrition in engineering. Journal of Engineering Education. 1997; 86; 139-149.3. Chemers M, Hu L, Garcia B. Academic self-efficacy and first-year college student performance and adjustment.Journal of Educational Psychology. 2001; 93(1); 55-64.4. Huang S, Fang N. Prediction of student academic performance in an engineering dynamics course: developmentand validation of multivariate regression models. International Journal of Engineering Education. 2010; 26(4);1008-1017.5. Huang S, Fang N. Predicting student academic performance in an engineering dynamics course: a
variability compared to the control group which was inferred fromthe test group low standard deviation. This supported the underlying hypothesis that the proposedmodel can improve student performance and provide an effective learning environment insidethe classroom. 0.06 Group Mean StDev N Con trol 2.273 9.234 6 Tes t 12.71 6.680 10 0.05 0.04 De n s i t y 0.03 0.02 0.01 0.00
Tool, in Pedagogical Applications and Social Effects of Mobile Technology Integration, Keengwe, S., Ed (2013)7. Connor, K., Meehan, K., Ferri, B., Walter, D., Astatke, Y, Chouikha, M., Collaborative Research: Center for Mobile Hands-On STEM, ASEE Annual Conference, Indianapolis, IN, June 20148. Connor, K., Newman, D., Morris-Deyoe, M., Flipping a Classroom: A Continual Process of Refinement, ASEE Annual Conference, Indianapolis, IN, June, 20149. Connor, K., Meehan, K., Ferri, B., Walter, D., Astatke, Y,, Collaborative Research: Center for Mobile Hands-On STEM, ASEE Annual Conference, Seattle, WA, June 201510. Connor, K., Newman, D., Morris-Deyoe, M., Lamendola, J., Transition to New Personal Instrumentation in a Flipped
Using a Flipped Classroom Model ASEE Annual Conference and Exposition, Seattle, WA. 10.18260/p.24811[5] Swift, T. M. and B. Jean Wilkins (2014). A Partial Flip, A Whole Transformation: Redesigning Sophomore Circuits. ASEE Annual Conference and Exposition. Indianapolis, IN, ASEE.[6] Clemens, B. M., C. Nivargi, et al. (2013). "Adventures with a Flipped Classroom and a Materials Science and Engineering MOOC : “Fools Go Where Angels Fear to Tread”." Materials Research Society Symposium Proceedings 1583.[7] Marks, J., K. J. Ketchman, et al. (2014). Understanding the Benefits of the Flipped Classroom in the Context of Sustainable Engineering. ASEE Annual Conference and Exposition. Indianapolis, IN, ASEE.[8] Mason, G. S., T. R
: Visions of Engineering in the New Century. (The National Academies Press, 2004).7. Grover, S. & Pea, R. Computational Thinking in K–12 A Review of the State of the Field. EDUCATIONAL RESEARCHER 42, 38–43 (2013).8. Partovih, H. Transforming US education with computer science. in 45th ACM Technical Symposium on Computer Science Education, SIGCSE 2014, March 5, 2014 - March 8, 2014 5 (Association for Computing Machinery, 2014). doi:10.1145/2538862.25547939. Nikou, S. A. & Economides, A. A. Measuring student motivation during ‘The Hour of Code’ activities. in 14th IEEE International Conference on Advanced Learning Technologies, ICALT 2014, July 7, 2014 - July 9, 2014 744–745 (Institute of Electrical and Electronics Engineers
joining SDL he worked for EDS as the Western US Regional Lead Application Engineer and prior to EDS he worked for 3D Systems, promoting rapid prototyping and rapid tooling technologies visiting 100’s of leading design and manufacturing companies around the world. He holds 3 patents developing the product from concept to market, selling the patent rights to independent investors. John enjoys writing and has published multiple articles in BYU Studies. In an earlier life he played full time as a circuit guitarist in Australia. c American Society for Engineering Education, 2016 Creativity Enhancement via Engineering Graphics: Conceptual Design Blending
R. J. Puerzer, “The Smaller Engineering School and its Industrial Advisory Board; An Effective Partnership?,” in ASEE /IEEE Frontiers in Education Conference, Boston, MA, 2002.[3] R. Greenlaw, “Setting Up and Maintaining A Strong Industrial Advisory,” Journal of Scientific and Practical Computing, vol. 3, no. 2, pp. 23-34, 2009.[4] S. R. Genheimer, “The Effectiveness of Industry Advisory Boards in Engineering Education,” University of Oklahoma Graduate College (PhD Thesis), Oklahoma, 2007.[5] D. J. Bremner, “Analysing the IoT Ecosystem: the Barriers to Commercial Traction,” in Embedded World 2016, Nurenberg, 2016.[6] M. E. Porter, “The Five Competitive Forces that Shape Strategy,” Harvard Business Review, vol. 86
and skills. Finally, the students gave qualitative feedback on the way in which the EWB Challenge was taughtat Colorado State University, picking up on some of the same failings in implementation due to the pilotnature of the program but also providing ideas for improvement for future course offerings. A graphicrepresentation of their feedback shown in Figure 8 below, illustrates the feedback in collated form, withthe most repeated words being the largest. It is interesting to see that design, culture, ideas, group,problem(s), learning and working were common themes rather than the technical aspects of the designproblems themselves, reflecting on the engagement with professional skills (ASEE, 2013) the instructorshoped would be focused on
, by states. Washington D.C.: National Academies Press. 2. National Research Council. (2012). A framework for K-12 science education: Practices, crosscutting concepts, and core ideas. Washington, DC.: The National Academy Press. 3. National Research Council. (2004). Engaging schools: Fostering high school students' motivation to learn. Washington, DC: National Academies Press. 4. Roehrig, G. H., Moore, T. J., Wang, H. H., & Park, M. S. (2012). Is Adding the E Enough? Investigating the Impact of K‐12 Engineering Standards on the Implementation of STEM Integration. School Science and Mathematics, 112(1), 31-44. 5. http://www.eie.org/eie-curriculum/curriculum-units/water-water-everywhere-designing-water
develop hybrid educational modules linked to engineering grandchallenges to improve science and math concepts in k-12 curriculum.References 1. Ward, J. S., & Fontecchio, A. (2012, October). Work in progress: The NAE Grand Challenges, high school curricula and Graduate student research. In Frontiers in Education Conference (FIE), 2012 (pp. 1-2). IEEE. 2. Davis, V., Raju, P. K., Lakin, J., Davis, E. (2016). Nanotechnology Solutions to Engineering Grand Challenges. American Society of Engineering Education Annual Conference. 3. Mote Jr, C. D., Dowling, D. A., & Zhou, J. (2016). The Power of an Idea: The International Impacts of the Grand Challenges for Engineering. Engineering, 2(1), 4-7 4. Thomas, J. W. (2000). A
engineering texts on classical controls, linear systems, and multivariable control. Dr. Rodriguez has given over 70 invited presentations - 13 plenary - at international and national forums, conferences and corporations. Since 1994, he has directed an extensive engineering mentoring-research academic success and professional development (ASAP) program that has served over 500 students. These efforts have been supported by NSF STEP, S-STEM, and CSEM grants as well as industry. Dr. Rodriguez’ research inter- ests include: control of nonlinear distributed parameter, and sampled-data systems; modeling, simulation, animation, and real-time control (MoSART) of Flexible Autonomous Machines operating in an uncertain Environment
surveyed said they would consider implementing laptopcomputers, 68.7% said they would consider implementing tablets, and 56.7% said they wouldconsider implementing iPod or iPod touch to deliver digital instructional materials. According toApp Store Metrics, the iTunes App StoreSM currently has over 90,000 education apps10.Consequently, M-Learning continues to be a major technology trend as we move in future.Currently, for the remote laboratory applications development, more and more remote laboratorysoftware systems have selected web services technology and Service Oriented Architecture (SOA)to implement the Browser-Server (B/S) architecture remote laboratory11,12. To integrate theremote laboratory application to mobile devices (e.g., PDAs
Simulation of Construction Works, Virtual Simulation of Construction Works, Prof. Jae-Jin Kim (Ed.), ISBN: 978-953-307-518-1, InTech.9. C. L. Johnston and D. Whatley, (2006), Pulse!! - A virtual learning space project. Studies in health technology, and informatics (MMVR14), 119:240–242, 2006.10. Creem-Regehr, S. H., Willemsen, P., Gooch, A. A., Thompson, W. B., (2005), The Influence of Restricted Viewing Conditions on Egocentric Distance Perception: Implications for Real and Virtual Environments. Perception 34, 2,191–204.11. Lee,C.H., Liu, A., Del Castillo, S., Bowyer, M., Alverson, D., Muniz, G., Caudell, T.P., (2007), Towards an immersive virtual environment for medical team training, Stud Health Technol Inform.,125:274-9.
Mechanical Engineering, 2012.13. Rao, R. V., & Padmanabhan, K. K. (2007). Rapid prototyping process selection using graph theory and matrix approach. Journal of Materials Processing Technology, 194(1), 81-88.14. Mahesh, M., Wong, Y. S., Fuh, J. Y. H., & Loh, H. T. (2004). Benchmarking for comparative evaluation of RP systems and processes. Rapid Prototyping Journal, 10(2), 123-135.15. Masood, S. H., & Soo, A. (2002). A rule based expert system for rapid prototyping system selection. Robotics and Computer-Integrated Manufacturing, 18(3), 267-274.16. Brown, R., & Stier, K. W. (2002). Selecting rapid prototyping systems. Journal of Industrial Technology, 18(1), 2.17. Microsoft Expression Web 4.0: https
is Professor of Education in the College of Education and Human Develop- ment at George Mason University, USA. She is an educational researcher and pedagogical scholar with signature work in self-study research methodology including co-editor of Polyvocal Professional Learn- ing through Self-Study Research (2015) and author of Self-Study Teacher Research (2011) and lead editor of Learning Communities In Practice (2008). She is recipient of the Dissertation Research Award, Uni- versity of Virginia, the Outstanding Scholar Award, University of Maryland, a Fulbright Scholar, and a Visiting Self-study Scholar. She served as chair of S-STEP from 2013-2015 and is a current Co-PI of two National Science Foundation (NSF
goal-settingexercises. In general, academic institutes do not use the human resource management practicesthat organizational behavior experts prescribe. Many administrators end up declaring a faculty‘pass’ or ‘fail’ and do not think that they can and must optimize their performances. In fact, theyhave to play a major role in optimizing performances of their faculty to increase chances ofsuccess of their organization.AcknowledgementsWe thank all the faculty colleagues who participated in the exercise. We also thank Mr. AbhayJoshi who improved the language of the paper and anonymous reviewers who reviewed andappreciated the paper.References1 L. Johnson, Adams Becker, S., Estrada, V., and Freeman, A, 'The Nmc Horizon Report: 2015 K-12
refine the systemspecifications. Table 1 shows the finalized PVEPS system requirements. Table 1 PV emergency power system requirements ID Requirements 1 Power generated by solar panel(s) shall be stored in lead-acid AGM batteries 2 The batteries shall be able to power the following devices for two consecutive days: 1. Two White LED lights (continuous) 2. The suction machine (used 3 hrs. each day) 3. Two “car-charging sockets” for charging 12VDC appliances (used 3 hrs. each day) 4. One 5V DC USB charger for charging cell phones and tablets 3 The system shall contain on/off switches to individually control each appliance
ProgramReview- Enrollment, http://osra.georgiasouthern.edu/sra/CPRenrl/index1.cfm, Last Accessed January,2016.[2] May, Gary S.; Chubin, Daryl E.; A Retrospective on Undergraduate Engineering Success forUnderrepresented Minority Students, Journal of Engineering Education, Vol. 92, Issue 1, pp 27-39,January 2003.[3] Lent, Robert W.; Lopez, Frederick G.; Sheu, Hung-Bin; Lopez Jr., Antonio M.; Social cognitivepredictors of the interests and choices of computing majors: Applicability to underrepresented students,Journal of Vocational Behavior, Vol. 78, Issue 2, pp 184-192, April 2011[4] Hernandez, Paul R.; Schultz, P. Wesley; Estrada, Mica; Woodcock, Anna; Chance, Randie C.,Sustaining optimal motivation: A longitudinal analysis of interventions to broaden
. 28, Issue 4 (Summer 2008), pp. 43-50.[5] Laursen, S., et al. Undergraduate Research in the Sciences: Engaging Students in Real Science. San Francisco: Jossey-Bass, 2010[6] Lopatto, D. Science in Solution: The Impact of Undergraduate Research on Student Learning. Tucson, AZ: Research Corporation for Science Advancement, 2009.[7] Taraban, R., and Blanton, R.L., Eds. Creating Effective Undergraduate Research Programs in Science: The Transformation from Student to Scientist. New York: Teachers College Press, 2008.[8] Russell, S.H., Hancock, M.P. and McCullough, J. "Benefits of Undergraduate Research Experiences" Science, Vol. 316, No. 5824 (27 April 2007), pp. 548-549.[9] Zydney, A.L., Bennett, J.S., Shahid, A. and Bauer, K.W
advisable to stock upon enough parts to allow time for a transition should it be necessary.Before The BitBoard, we were using IDL-800 Digital Lab instruments to support the gate-levelexperiments and the DE1 for the FPGA experiments. The IDL-800’s had served us well formany years but were showing wear and tear. Replacement costs for the IDL-800’s exceed $400per unit. So finding a lower cost option was one motivation for developing The BitBoard whichcost about $60 each for parts and assembly.Another motivation was to develop a take-home lab kit enabling students to work on theirexperiments and projects at home and at their convenience. Previously, students were given anIDL-800 solderless breadboard to take home for wiring circuits prior to coming to
engineers and non-engineers. Engineering faculty needto push for inclusion in the liberal arts core of their universities. Exposing those from otherfields of study to engineering broadens their knowledge base. The grand challenges facingengineering are going to require collaboration with those from other fields to solve. Engineeringas a liberal arts exposes others to the principles of engineering and well enable the types ofcollaborations needed to solve these problems.Bibliography[1] Abelson, Paul. The seven liberal arts: a study in mediæval culture. Vol. 11. Teachers' College, ColumbiaUniversity, 1906.[2]Adner, R., & Kapoor, R. “Innovation ecosystems and the pace of substitution: Re‐examining technology S‐curves.” Strategic Management Journal
Peer Interaction and Learning in the Classroom through Reciprocal Questioning. American Educational Research Journal. 27 (4): 664–87. 1990.7. Springer, L., M. E. Stanne, and S. S. Donovan. Effects of Small-Group Learning on Undergraduates in Science, Mathematics, Engineering, and Technology: A Meta-Analysis. Review of Educational Research. 69 (1): 21–51. 1999
students with positive team experiences see greatergains in self-efficacy than students with poor team dynamics and cohesion?Using a modified version of Carberry et al.’s senior design self-efficacy tool,6 we examinedpotential correlations between self-efficacy, team dynamics/cohesion, and team performance.Students were given three self-efficacy surveys, one early in the term, one mid-term, and one latein the term, corresponding to times where they were working on an individual project only, bothon an individual project and group project, and just on a group project.Because we have had low participation in past studies, we were hesitant to use the full Carberryinstrument that contains 36 items (nine items in the context of four self-concepts: self
, I’ll be like,alright, I’m never doing this again. Like I try it, I mess up, and you know what, forget it, I quit.But like I just learned to just stick with something all the way through, try a little harder. Itshows result[s].”Cyrus’s claim here is that the experience helped to develop persistence, broadly. He elaboratedon this by giving an example from school, where he persisted on a difficult presentationassignment that normally would have prompted to quit:“I was doing it, I kept getting stuck, you know. So I just took a break really fast because mybrain was fried from irritation and stress. And you know, I finished it, and I’m glad I did, and atfirst I was like, ‘Look, dude [to his partner], you’re going to have to do it.’ But you know
Paper ID #16398Analogy Methods to Address Warping and Plasticity in TorsionProf. Somnath Chattopadhyay, University at Buffalo, SUNY Dr. Somnath Chattopadhyay teaches mechanics, materials, manufacturing and design at University at Buffalo He has authored a text on Pressure Vessel s and till recently was an Associate Editor of the ASME Journal of Pressure Vessel Technology. His research interests are in the areas of fatigue and fracture of metals, carbon nanotubes, multi-scale material modeling and engineering education. He had a very successful industrial career with Westinghouse Electric where he directed and performed
questionscores, average scores and normalized gain values were generated for each student’sperformance for each question overall score. Results indicate that students had more incorrectpreconceptions regarding bandwidth than with resource reservation, network utilization andefficiency. This study will expand the breadth of knowledge about student preconceptions inSTEM by including the subject of QoS in the telecommunications discipline, identify thepreconception(s), statistically analyze the effects of these preconceptions and offer instructionalinsights than can ameliorate or eliminate negative effects on student learning related to theseconcepts.ConceptsThe following explanations of each of the paired concepts are provided for readers not familiarwith
curriculum are involved in course-embeddedassessment. The choice of courses is guided by the followingprinciples: • Each Student Outcome will be assessed with student work in a course(s) termed “benchmark course(s).” • Required courses in the program curriculum will be selected as benchmark courses. We chose this approach because all students take the required courses. • Although a benchmark course will likely address multiple Student Outcomes, typically one or two of its learning outcomes will be designated for course-embedded assessment. • Because Student Outcomes are assessed in two groups on a rotating schedule, the benchmark courses are organized and assessed in two alternating