. Table 1 shows the survey distribution and ret urns.Multiparameter statistical linear regression models were successfully developed for eachcategory of alumni, and for the combined effects of the three categories of engineeringalumni.Before the data were collected, detailed preliminary studies were carried out includingthe determination of the best statistical sampling methodology to be adopted for thiswork. Some aspects of the preliminary studies included studies of previous datacollections of other organizations.It can also be shown that (Ross S. M., 1997, Soboyejo A. B. O., 2001) the function Y is astochastic model, with linear inputs of the variables X is such that the transfer function isgiven by F ( X i ) = Yi - Yi -1 = ai
amongengineering students. As part of this effort, we will be closely examining how the academicpolicies of various institutions affect academic dishonesty. Finally, we want to compare theperceived differences between students and faculty in their definitions and attitudes towardscheating.References 1. McCabe, D. and Drinan, P., “Toward a Culture of Academic Integrity,” Chronicle of Higher Education, 1999, 46(8). 2. Bowers, W.J., Student Dishonesty and Its Control in College, New York: Bureau of Applied Social Research, Columbia University, 1964. 3. Maramark, S. and Maline, M.B., Issues in Education: Academic dishonesty among college students, Washington, D.C.: U.S. Department of Education, Office of Educational Research and
ofthe introductory physics sequence. Additional information is supplied as handouts by theinstructor. For general information about product development, teamwork skills,technical drawing, and design documentation, some sections have used the text by W. C.Oakes5 for last two years.Teamwork is an essential component of ENES 100, challenging for both students andinstructors. During the first few weeks, the necessity of teamwork in engineering designand attributes of a functional team are discussed in lectures. Whereas some studentsalways feel more comfortable in working individually or with preferred classmates,project teams of 4 – 6 members are formed by the instructor(s) based on criteria such asstudent skills, interests, mobility, residence
holistic approach to the student as learner, undergraduate researcher, peertutor, and mentor. At the University o f Texas-El Paso, the CircLES Program provides asupportive structure that expands the learning environment outside of the classroom whilestudents work in teams with professors and classmates. 3 This approach has already meritedsuccess in higher retention and grade point averages for students. AT Xavier University in New Orleans, the MIE Program has developed “Triple S - Page 7.961.3Standards with Sympathy in the Sciences”. Triple S is a coordinated effort by the mathematics “Proceedings of the 2002 American Society for
, 1999, p. 80.3. Brophy, S. P., “STAR:Legacy: Software Technology for Action and Reflection,” Page 7.283.11 http://peabody.vanderbilt.edu/ctrs/itc/brophys.legacy1.html. “Proceedings of the 2002 American Society for Engineering Education Annual Conference & Exposition Copyright Ó 2002, American Society for Engineering Education”4. Schwartz, D. L.; Biswas, G.; Bransford, J. B.; Bhuva, B.; Balac, T.; and Brophy S. Computer Tools That Link Assessment and Instruction: Investigating What Makes Electricity Hard to Learn, In Susan P. Lajoie ed., Computer as Cognitive Tools, Volume Two
/articles.nsf/4e809e481ad5f764862563ef0053261d/0d2718db14a41b2c8625646100613 b0c4) McHarg, B., Casper, T., Davis, S., Greenwood, D. (1999). Tools for remote collaboration on the DIII-D National Fusion Facility. Fusion Engineering and Design 43. p. 343-355.5) Krom, J. (1999) The evolution of control and data acquisition at JET. Fusion Engineering and Design 43. p. 265- 273.6) Nakasnishi, H., Kojima, M., Hidekuma, S. (1999). Distributed processing and network of data acquisition and diagnostics control for large helical device ( LHD). Fusion Engineering and Design 43. p. 293-300.Biographical InformationMcFARLANE, ROBERT M., B.S.M.E. This prototype for this project was completed as an undergraduate honors thesis by Mr
Session 1526 Development of a Curriculum for Mechanical Engineering Based upon Intelligent Systems and Automation S. Batill, S. Skaar, R. Nelson, B. Goodwine, J. Mason, and M. Sen University of Notre DameAbstractRealizing the need for mechanical engineering programs to adapt to an ever-diversifyingcompetitive world, the University of Notre Dame is developing a new curriculum that includesfocused educational experiences. This focus is based upon the opportunities provided by thesynergism between traditional discipline elements and embedded computing in all forms ofmechanical
class is usually best illustrated by building several versions of the robot.The final design is often quite different from the initial design (e.g. switching from wheels totracks or completely re-designing the demonstration objective). Evaluation techniques such asdecision trees are taught.Personal Creativity and Ethics – Ethics26 is a required element of the Introduction to Engineeringclass, and an ethics lecture is also included as a refresher in the advanced class. Examples ofdifficult ethical situations used in class include the Challenger accident, the Tacoma NarrowsBridge failure of the 1940’s, and the failure of the two Mars Surveyor 98 missions27. (The lastexample is from the author’s personal, bitter, experience.) Personal creativity
knowledge and fun in the classroom.Journal of Nursing Education, 49(6), 363-364.5 Browne, J. H. (2013). Effective use of humor in teaching college-level business courses: Assessing an instructor’shumor quotient. Journal of American Academy of Business, Cambridge, 18(2), 226-232.6 Thiagarajan, S., & Tagliati, T. (2011). Jolts! Activities to Wake Up and Engage Your Participants. John Wiley &Sons.7 Tamblyn, D., & Weiss, S. (2000). The big book of humorous training games. McGraw Hill Professional.8 Rhudy, M., & Nathan, R. (2016, June). Fluids Friday! A Method for Improving Student Attentiveness andLearning in the Classroom. In 2016 ASEE Annual Conference & Exposition.9 Rhudy, M. B. (2023). Mechanism of the week: An approach for
complexity in a community college studentproject. The learning assistant assignments on the reading and application of Science Educationarticles would meet the requirement of “becoming scholarly”, if not on the publication of a newdiscovery in the study of complexity.ConclusionsThe pedagogy of learning assistant trained with programming skills was found to be positive interms of the deliverables in the self-assessment rubrics. Using the study of complexity withapplications to MRI image and spectroscopy data analysis was found to generate a purpose toencourage “To remember” as a disposition in engineering literacy.AcknowledgmentsWe thank the authors sharing their works on the Internet open access information sites.References[1] E. Burkholder, S
. "Using personal learning environments before, during and after the pandemic: The case of “e-me”." Education Sciences 13, no. 1 (2023): 87.[5] Lester, J., Klein, C., Rangwala, H., & Johri, A. (2017). Learning analytics in higher education: ASHE Higher Education Report. John Wiley & Sons.[6] Romero, C., & Ventura, S. (2010). Educational data mining: a review of the state of the art. IEEE Transactions on Systems, Man, and Cybernetics, Part C (applications and reviews), 40(6), 601-618.[7] Markowska-Kaczmar, U., Kwasnicka, H., & Paradowski, M. (2010). Intelligent techniques in personalization of learning in e-learning systems. In Computational Intelligence for Technology Enhanced Learning (pp. 1-23). Berlin
2 Proceedings of the 2024 ASEE North Central Section Conference Copyright © 2024, American Society for Engineering Educationsome misunderstanding. Digital exchange using computer aided engineering tools such ascasting simulations are being utilized to bridge the agility gap and provide predictive analyticsfor process control. The adage “a picture paints a thousand words” is true with simulationtechnology.Impact of Casting SimulationCasting solidification simulation software emerged in academia in the 1980’s. Approximately tensimulation tools are currently being used in the United States to support the metal castingtechnology. Solidification simulation tools are becoming more common in the
and C. Galperti, “An adaptive system for optimal solar energy harvesting in wireless sensor networknodes,” IEEE Trans. Circuits Syst. I: Regular Papers, vol. 55, no. 6, pp. 1742–1750, Jul. 2008.10. V. Raghunathan, S. Ganeriwal, and M. Srivastava, “Emerging techniques for long lived wireless sensor Page 24.876.12networks,” IEEE Commun. Mag., vol. 44, no. 4, pp. 108–114, Apr. 2006.11. H. Yang, Wu, H.; He, Y.: Architecture of wireless sensor network for monitoring aquatic environment ofmarine shellfish. In Proceedings of the 7th IEEE Asian Control Conference, Hong Kong, August 2009, pp. 1147-1151.12. R.M. Felder, and R. Brent
. Agelidis, "The future of power electronics-power engineering education: challenges and opportunities", IEEE Workshop on Power Electronics Education, 2005, Mar Hotel Recife, Brazil, June 16-17, 2005, pp.1-8.3 M.D. Koretsky, D. Amatore, C. Barnes, S. Kimura, “Enhancement of Student Learning in Experimental Design Using a Virtual Laboratory", IEEE Transactions on Education , vol. 51, no.1, pp.76 – 85, Feb. 2008.4 W. Robbins, N. Mohan, P. Jose, T. Begalke, C. Henze, T. Undeland, “A building-block-based power electronics instructional laboratory," IEEE 33rd Annual Power Electronics Specialists Conference (PESC), 2002, Cairns, Queensland, Australia, June 24-27, 2005, pp.467 – 472.5 N. Mohan, W.P. Robbins, P. Imbertson, T.M
problem solving. No experiments wereperformed as part of the PBL. Student 1’s biggest complaint about the PBL was that “it’s nothands on.” Student 1 suggested adding a lab that would allow students to discover qualities ofdifferent types of biomass. “Instead of learning about the biomass on here, we could haveactually tested the different types and stuff and looked at it through that different way.” Student3 also echoed this sentiment and suggested combining the PBL with a lab test that “get[s] yourhands dirty doing it.” This is consistent with the Jones’ constructivist approach3. Studentsactually asked for tasks that would require additional effort if it meant they could discover orconstruct biomass information.Instructor Implications The
. Fasse, J. Gray, J. Holbrook, S. Puntambekar, and M. Ryan (2003). Problem-based Learning Meets Case-Based Reasoning in the Middle-School Science Classroom: Putting Learning by Design into Practice. The Journal of the Learning Sciences , 12(4), 495-54710: McCormick, M. and Hynes, M. (2012) Engineering in a Fictional World: Early Findings from Integrating Engineering and Literacy. Conference Proceedings, Collection: Proceedings from the American Society of Engineering Education Annual Conference, San Antonio, Texas. Bibliography: Conference Proceedings11. Ulrich, K. and S. Eppinger (2008) Product Design and Development, Fourth Edition, Boston: McGraw-Hill Higher Education12. Dym, C., and P. Little (2004) Engineering Design: A
/humanitarianengineering/23. Colorado school of Mines – Senior Design Program. http://cecs.mines.edu/25763-php24. Ohio State University – Senior Design Program . https://hecourse.engineering.osu.edu/HEsyllabus25. Massachusetts Institute of Technology – GEAR lab - 2.S999 Global Engineering http://stellar.mit.edu/S/course/2/fa13/2.S999/index.html26. Massachusetts Institute of Technology – TATA Center http://tatacenter.mit.edu/tata- center/about-us/27. Winters, A. (Massachusetts Institute of Technology). “2.S999 Global Engineering” Fall 2013. December 13, 201328. University of Maryland – GEMS Program http://www.gemstone.umd.edu/academics/curriculum.html29. Penn State – Humanitarian Engineering and Social Entrepreneurship Program http
serves as the framework on which to transformthe course. It forces each faculty member to take a broad and comprehensive view of the coursesthat they will address in the SFIP. At this stage there is no innovation. Setting the panoramicoutline as a prerequisite leaves more time for innovation, a lesson learned during the 2012 SFIPsession. Table 2: Template used to create a panoramic outline of 30 sessions of 1.5 hours each (a prerequisite to start the SFIP in June) Course: Professor: Session Topic(s) Instructional Objectives – By the end of this session students shall be Real-World
-‐1055, (1985). 2. Halloun, IA, & Hestenes, D., “Common-‐sense concepts about motion,” Am. J. Phys. 53, 1056-‐1065, (1985). 3. Tobias, S., Revitalizing Undergraduate Science; Why Some Things Work and Most Don’t, Tucson, AZ: Research Corporation, (1992). 4. Tobias, S., They’re Not Dumb, They’re Different: Stalking the Second Tier, Tucson, AZ: Research Corporation, (1990). 5. Laws, P., “Calculus-‐based physics without lectures,” Phys. Today 44(12), 24-‐31, (1991) 6. Laws, P., Workshop Physics, J. Wiley, (2004) 7. Mazur, E., Peer Instruction: A User’s Manual, Prentice Hall, (1997
. Krousgrill HigherEd 2.0: Web 2.0 in Higher Education, in Interactive Multimedia, I. Dellyannis, Editor. 2012, Rijeka, Croatia: InTech.[16] Halic, O., Lee, D., Paulus, T., and M. Spence, To Blog or Not to Blog: Student Perceptions of Blog Effectiveness for Learning in a College-Level Course. The Internet and Higher Education, 2010. 13(4): p. 206- 213.[17] Huang, T.-C., Huang, Y.-M., and F.-Y. Yu, Cooperative Weblog Learning in Higher Education: Its Facilitating: Effects on Social Interaction, Time Lag, and Cognitive Load. Educational Technology and Society, 2011. 14(1): p. 95-106.[18] Kerawalla, L., Minocha, S., Kirkup, G., and G. Conole, An Empirically Grounded Framework to Guide Blogging in Higher Education. Journal of Computer Assisted
the take-awayhas a new element the students can research.The transformation of the class proved successful. The major elements of the structure of theclass have been laid out and show significant positive results. However, further fine-tuning onthe minor elements mentioned above should be considered for future research.References:1. Azhar, S., Grau, D., Burt, R., and Gibson, G."State-of-the-Art Best Construction Practices Integration into Higher Education Curricula." Journal of Professional Issues in Engineering Education and Practice, 0(0), .2. Badger, W. and Robson, K. (2000) Raising Expectations in Construction Education. Construction Congress VI: pp. 1151-1164.3. Brint, S. Cantwell, A. Hanneman, R. (2008). The Two Cultures
the top lessons learned by the Dual-Use Ferry student teams. Atthe end of the design effort, a design solution was provided to the customer. The customer wasvery pleased with the resulting effort and stated that future marketplace design efforts would bewelcomed and supported.AcknowledgmentsWe thank the Department of Defense for financial support of the capstone marketplace projectand for technical and logistical support in providing mentors and sponsors. We thank the mentorsand sponsors of the Dual-Use Ferry project for their generous support and guidance. Finally, wethank the students at Stevens Institute and UAH for their hard work on this challenging project.Bibliography 1. B. McGrath, S. Lowes, A. Squires and C. Jurado, SE Capstone
). Technology education and other technically related programs. In G.E. Martin (Ed.), Foundations of technology education, 44thYearbook of the Council on Technology Teacher Education (pp. 25- 117). New York, NY: Glencoe McGraw-Hill.8. Johnson, S., Gostelow, J. P., & King, W.J. (2000). Engineering and Society, Upper Saddle River, NJ: Prentice Hall.9. Loendorf, W. R. (2004). A Course Investigating Technology in World Civilization. Proceedings of the American Society for Engineering Education (ASEE) Conference, Salt Lake City, Utah, June 20-23, 2004.10. Loendorf, W. R. (2010). The Social, Economic, and Political Impact of Technology: An Historical Perspective. Proceedings of the American Society for Engineering
Engineering Education Brigham Young University Randy C. Hurd Mechanical Engineering Brigham Young University Kip S. Hacking Electrical Engineering Brigham Young University Tadd Truscott Ph.D. Mechanical Engineering Brigham Young University Abstract: Over the past two years several professors from the technology education and mechanical
, M., Miller, R., Mitcham, C., Olds, B., and Wolfe, H. “Assessing engineering students’ abilities to resolve ethical dilemmas”, Proceedings from the ASEE/IEEE Frontiers in Education Conference, 2003. 5. Shuman, L, Besterfield-Sacre, M. and McGourty, J. “The ABET professional skills—can they be taught?”, Journal of Engineering Education, 94(1), 41-55. 6. Zhang M., Ater Kranov A., Pedrow P., Beyerlein S., McCormack J., and Schmeckpeper E. “A Direct Method for Teaching and Measuring Engineering Professional Skills: A Validity Study for the National Science Foundation’s Research in Evaluation of Engineering and Science Education”, Proceedings of the 2011 American Society for Engineering Education Conference
course is the radical change of theteaching style of the traditional course on EFW. Its main features are: (a) the hands-onexperience provided to students while carrying out seven lab experiments, (b) day-to-daymonitoring of students’ learning process by using Blackboard online system, and (c) assessmentof progress in learning through low-stake quizzes, homework problems, lab reports, and exams. Page 23.1125.12AcknowledgementThis research was supported by NSF Grant No. DUE-1140718.Bibliography1. N. Nirmalakhandan, C. Ricketts, J. McShannon, and S. Barrett, “Teaching tools to promote active learning: case study”, J. Prof. Issues Eng. Educ
. al., L. Springer-Verlag, 2012. pp. 189 -209.10. Woolley, A., . Gerbasi, M., Chabris, C., Kosslyn, S. and Hackman, J. Bringing in the Experts: How TeamComposition and Collaborative Planning Jointly Shape Analytic Effectiveness. Small Group Research 2008; 39;35211. Rentsch J.R., Delise L.A., Salas E., Letsky M.P., Facilitating Knowledge Building in Teams: Can a New TeamTraining Strategy Help? (2010) Small Group Research, 41 (5) , pp. 505-523.12. Woolley, A., Chabris, C., Pentland, A. Hashmi,N. and Malone T. , Evidence for a Collective Intelligence Factorin the Performance of Human Groups, Science, Vol 330, Oct 2010, pp. 686-688.13. DeVaan, M., Vedres, B., and Stark, D. Disruptive Diversity and Recurring Cohesion: Assembling CreativeTeams in
National Academies, “The Engineer of 2020: Visions of Engineeringin the New Century,” The National Academies Press. Washington, DC: 2004.2. Scott, G., L.E. Leritz, & M.D. Mumford, “The Effectiveness of Creativity Training: A Quantitative Review,”Creativity Research Journal, 16 (4), 2004, pp. 361-388.3. Kazerounian, K. & S. Foley, “Barriers to Creativity in Engineering Education: A Study of Instructors andStudents Perceptions,” Journal of Mechanical Design, 129, July 2007, pp. 761-768.4. Burgon, H., J.B. Elliott-Litchfield, & D.E. Goldberg, “The First-to-Fourth Flatline: Assessing UndergraduateStudents’ Creative Capacity,” Proceedings of the 2011 Annual Conference of the American Society for EngineeringEducation, Vancouver, BC, June
Page 23.1174.13Annual Conference, June 2010.29 Komerath, N.M., “Renovating an Ancient Low Speed Wind Tunnel: A Student Team Project Case Study”. Proceedings of the ASEE National Conference, Atlanta, GA, June 2013. 30 Komerath, N.M., Dessanti, B., Shah, S., A Gigawatt-‐level Solar Power Satellite Using Intensified Efficient Conversion Architecture