Job Readiness through Multidisciplinary Integrated Systems Capstone Courses Lucy King, Mohamed El-Sayed, Matthew S. Sanders, & Jacqueline El-Sayed Kettering University Flint, MI 48504AbstractIndustry wants job-ready engineers from day one. A panel of industry partners pointed out sixqualities expected of recent graduates. These engineers need to adopt an enterprise-wideintegrated systems approach from product conceptualization to realization. They need to workclosely with engineers from different disciplines while maintaining their own technical expertise.Leadership, conflict resolution and inter
innovative undergraduate classes whichinvolve active learning laboratories for the students in each of their freshman, sophomore, junior andsenior years. This program received the 1999 Boeing Outstanding Educator Award, in recognitionof its quality and effectiveness in providing a well-rounded engineering design education.The program objectives were developed in response to the call by industry for baccalaureateengineers to possess a broader set of skills beyond their analytical and computer skills. This call wasstrengthened by the Engineering faculty’s observation of the students’ experiences in senior capstonedesign during the late 1980’s and 1990’s. These students, who had had no prior experience with adesign process, struggled with the issues of
notoccur, the REU program may fail or will succeed at great personal cost to the PI and mentorsinvolved. Assessment of all stakeholders is important for program improvement. When welladministered, regularly assessed, and subject to continuous improvement, REU programs are anasset to the research community, allowing students who may not seriously consider a future inresearch to experience and examine research as a viable and desirable pursuit.BibliographyBlock, P. (2000) Flawless Consulting, 2nd Ed., Jossey-Bass/Pfeiffer, 372 pages.Booth, W.; Colomb, G.; and Williams, J. (2003) The Craft of Research, 2nd Ed., The University of Chicago Press,329 pages.Covey, S. (1989) The Seven Habits of Highly Successful People, Free Press, 360 pages.Eisenman, S
1999). pp. 60-81. Pascarella, Ernest T. and Terenzini, Patrick T. (1991) How College Affects Students. San Francisco: Jossey-Bass Publishers, 1991. pp. 484-485. Strange, Amy A. and Brandt, Tamara S. (1999) “Authorative parenting and college students’ academic adjustment and success.” Journal of Educational Psychology. Vol. 91, No. 1 (March 1999). Pp. 146- 156.9. Marano, Hara Estrorr. (2004) “A Nation of Wimps.” Psychology Today. Vol. 37, No. 6 (November/ December 2004). Pp. 58-70, 103.10. Daniel, Bonnie V. and Scott, B. Ross. (2001) “Understanding Family Involvement in the College Experience today.” op. cit. pp. 3-13. Horn, Laura and Bobbitt, Larry. (2000) Mapping the Road to College: First-Generation
room.After Foundation Engineering was over, and the final course grade was out, a “questionnaire”was sent to those who enrolled in the class seeking their opinions, evaluations, and anycomment(s) they may wish to offer. Twenty six out of a total of 30 students returned the“questionnaire” on time! The opinions expressed and comments made were, by and large,positive to say the least. After regrouping, and rephrasing to correct the English language; someof the comments offered by the ex- students, could be summarized as follows: The adjunct was easy to approach every time and every where, and was always helpful, His input into the course has dramatically improved students’ understanding of the material, enlivened the
Page 10.1041.5is supplying water to the Jordanians and the Palestinians. Unfortunately, since the 1960's theirfresh water has been exploited to its utmost. The region's water supply depends on fluctuations in Proceedings of the 2005 American Society for Engineering Education Annual Conference & Exposition Copyright © 2005, American Society for Engineering Educationrainfall, which is in short supply. The countries in the region also suffer from lack of storagecapacity, to regulate the water supply and to bridge over drought and dry cycles 11.Barriers associated with desalinationIt is a fact of humanity that there is no man made operation that is completely without flaw. Theart of desalination is no exception
would have included the tapes from Linda Tripp,William Kennedy III, and Bernard Nussbaum, the last two of whom were involved in Filegate[9]. Michael Lyle, director of the White House Office of Administration, said that there was noplan to do so, though it might have been “discussed” at a meeting about what to do with them.They were in a vault with highly secure locks, he added. U. S. District Judge Royce Lamberthordered that they not be destroyed [2, 15].However, most of those who testified at the Congressional hearing did not believe that the WhiteHouse actually caused e-mail to be lost, nor did anyone claim that the White House told them todestroy e-mail [3, 7]. “We didn’t know enough about what was going on to say that the WhiteHouse was
or oralcommunication across the curriculum5,6,7. This latter approach was recommended forcommunication skills as well as for the other contextual and process abilities 1. Regardless of themethod, it is believed that development of effective communication skills in students requiresthat they exercise these skills frequently and receive constructive feedback.In the mid 1990’s a major effort was taken to redesign the undergraduate mechanical engineeringcurriculum at Union College. A mission statement was developed along with program objectivesand specified student outcomes. In the fall of 1996 a significantly new curriculum wasintroduced. This curriculum maintains a strong emphasis on fundamentals and is reinforced bysignificant laboratory
Session 3430 An Empirical Study of Student Interaction with CD-based Multimedia Courseware W. Burleson, W. Cooper, J. Kurose, S. Thampuran, K. Watts Department of Computer Science / Department of Electrical and Computer Engineering University of Massachusetts AmherstAbstractThe CD-MANIC project is developing a multimedia courseware system that combines the use ofCDs for bandwidth-intensive content with periodic Internet connections for updates, logging,assessment and access to Internet resources. Class materials distributed by CD include asemester's worth of lectures (recorded
n S = i =1 (2) n −1Where Xi is the property value of the ith address. The (1-α) 100% confidence interval is given by[14] S X ± tα (3) 2 , n −1 nWhere tα/2,n-1 is the α/2 upper percent point of the t distribution with a degree of freedom n-1.The property value assessment data for this sample of 19 households is
Beach, Fall2000. USA Group, Iowa City (2001).9. O’Shaughnessy, E .J. Insights on gender inclusion based on the G.I.S. Unpublished manuscript (2001).10. Pettigrew, T. & Martin J. Shaping the Organizational Context for Black American Inclusion. Journal of SocialIssues, 43, 41-78 (1987).11. Rendon, L., Jalomo, E. , &. Nora, A. Theoretical considerations in the study of minority student retention inhigher education. In J. Braxton (Ed.), Reworking the student departure puzzle. Nashville: Vanderbilt UniversityPress (2000).12. Sax, L. J. , Austin, A. W. , Korn, W. S. , & Mahoney, K. M. The American freshman: National norms for2000. Los Angeles: Higher Education Research Institute, UCLA (2000).13. Takahira, S., Goodings, D. J., & Byrnes
to protect the health, safety, property, and welfare of the public in the practice of their profession. The public as used in this section and other rules is defined as any individual(s), client(s), business or public entities, or any member of the general population whose normal course of life might reasonably include an interaction of any sort with the engineering work of the license holder. (c) Engineers shall notify involved parties or the board of any engineering decisions or practices that might endanger the health, safety, property or welfare of the public. When, in an engineer’s judgment, any risk to the public remains unresolved, that engineer shall report any fraud
. Washington, DC: National Institute of Education, 1980.5. Cotton, K., and Savard, W.G. TIME FACTORS IN LEARNING. Portland, OR: Northwest Regional Educational Laboratory, 1981. (ED 214 706).6. Derevensky, J.L.; Hart, S.; and Farrell, M. "An Examination of Achievement-Related Behavior of High- and Low-Achieving Inner-City Pupils." PSYCHOLOGY IN THE SCHOOLS 20 (1983): 328-336.7. Fisher, C.W., and Berliner, D.C., eds. PERSPECTIVES ON INSTRUCTIONAL TIME. New York: Longman, 1985.8. Good, T.L., and Beckerman, T.M. "Time on Task: A Naturalistic Study in Sixth-Grade Classrooms." THE ELEMENTARY SCHOOL JOURNAL 78 (1978): 193-201.9. Guskey, T.R., and Gates, S.L. "Synthesis of Research on the Effects of Mastery Learning in
Laboratory Work from Extinction?" Research and Development in Higher Education, vol. 15, pp. 420-425.10. Komerath, N., "Experimental Curriculum in Diagnostics and Control of Unsteady Flows", ASEE Journal of Engineering Education, July 1996, pp. 263-268.11. Ertugal, N., "New Era in Engineering Experiments: An Integrated and Interactive Teaching/Learning Approach, and Real-Time Visualization." International Journal of Engineering Education, vol. 14, 1998, pp. 344-355.12. Livshitz, V. and Sandler, B., "Teaching Mechatronics in a Mechanical Engineering Department", European Journal of Engineering Education, vol. 23, 1998, pp. 353-364.13. Magin, D. and Kanapathipillai, S., "Engineering Students' Understanding the Role of
aspects (e.g. group setting or solo), and environmental aspects (e.g.preferred characteristics of study area). A survey and in-class writing assignments wereemployed to investigate a variety of learning preferences in this study. These instruments, thetargeted learning preference(s), and the analysis of their results are discussed below.SurveyA survey was constructed and administered to the class on October 29. Students were asked toperform the survey on their own time, and hand in their responses by November 5. Thirty-ninesurveys were returned. A copy of the survey is provided in Appendix A. Due to the short leadtime available prior to this study, the survey was not formally validated.The authors intended the survey to provide some preliminary
. 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