Telescope. Retrieved from Modeling Community Blog: https://blog.nomagic.com/thirty-meter-telescope-sysml-model/Pearce, P., & Friedenthal, S. (2013). A Practical Approach for Modelling Submarine Subsystem Architecture in SysML. Proceedings from the 2nd Submarine Institute of Australia (SIA) Submarine Science, Technology and Engineering Conference.Systems Architecture Guild. (n.d.). Retrieved from YouTube: http://tinyurl.com/showmethewowUniversity of Detroit Mercy. (2017, February 12). Master of Science in Product Development. Retrieved from Graduate Catalog: http://www.udmercy.edu/catalog/graduate2016- 2017/programs/eng-sci/product-development/index.htmUniversity of Detroit Mercy. (2017, February 12). MPD
. Select or design specific graded events as assessment artifacts that directly evaluate the student expectations defined by PC, minimizing artifacts of coarse granularity such as semester average or course grade(s). d. Conduct a review process to down-select candidate assessment artifacts to a manageable and ABET review-tenable subset that adequately evaluates the program student population. e. Ensure alignment among the new assessment artifacts, individual course learning objectives, learning experiences, revised PCs, and institutional and ABET outcomes. [9, pp. 39-53]4. Evaluation, Reporting, and Analysis: Revise or create a comprehensive evaluation
Engineering Education (ASEE) Annual Conf. & Exposition, Chicago, Illinois, June 18-21, 2006. [5] Burian, S., Teaching Sustainability and Sustainable Engineering Practice in the Civil Engineering Curriculum, Proceedings of the American Society for Engineering Education (ASEE) Annual Conf. & Exposition, Louisville, Kentucky, June 20-23, 2010. [6] Ogden, K., Ogden, G., Incorporation of Sustainability Concepts into Traditional Chemical Engineering Page 23.792.17 Education, Proceedings of the American Society for Engineering Education (ASEE) Annual Conf. & Exposition, Honolulu, Hawaii, June 24-27, 2007
assessment of their own learning. The application functions as part of a largerarchitecture we designed to allow a teacher to monitor learning during class and gain evendeeper insights during subsequent offline analysis. A pilot study revealed our architecture wasable to successfully record and support analysis of our students’ self-reported learningassessments. Notably, the architecture serves as a useful tool for spotting trends in studentlearning that, when combined with video of a class, can be a powerful critique.References1 Bloom, Benjamin S., Engelhart, M. D., Furst, Edward J., Hill, Walker H. and Krathwohl, David R. (1956) ‘Taxonomy of educational objectives: Handbook I: Cognitive domain’. New York: David McKay, 19, p. 56.2
, No. 1, pp.7-24, 2010.3. W.L. Johnson, N. Wang and S. Wu: “Experience with Serious Games for Learning Languages and Cultures”, Proceedings of SimTecT Conference, Australia, 2007.4. V. Brezinka and L. Hovestadt: “Serious games can support psychotherapy on children and adolescents”, Proceedings of the 3rd Human-computer interaction and usability engineering of the Austrian computer society conference on HCI and usability for medicine and health care, 2007.5. M. Mayo: “Games for Science and Engineering Education”, Communications of the ACM, Vol. 50, No. 7, pp. 31 – 35.6. R. Van Eck: “Digital Game-Based Learning: It’s just not the Digital Natives who are restless”, Educause Review, Vol. 41, No. 2, pp. 17 – 30.7. D. Charsky: “From
in 1975, and his master’s in civil engineering from UAA in 1999.Dr. Neal A. Lewis, University of Bridgeport Neal Lewis is an Associate Professor in the Department of Technology Management, School of Engineer- ing at the University of Bridgeport (Connecticut). He has more than 25 years of industrial experience, having worked for Procter & Gamble and Bayer. Along with coauthors, he has received the 2005 Ted Es- chenbach award for the best article in the Engineering Management Journal and the 2009 Grant Award for the best article in The Engineering Economist. Neal received his B.S. in Chemical Engineering from the University of Missouri, Rolla (now Missouri S&T) in 1974, M.B.A. from the University of New
engineering competency knowledge addressed in theirrecently completed online course(s). Responses were received from 100% of the instructors and25% of the students. The instructor survey requested instructors to select from a list of 37systems engineering competencies to identify which competencies were addressed in theircourse; and to select from six competency knowledge levels to identify what level of knowledgeproficiency the instructor expected successful students to achieve upon completing the course.Similarly, the student survey asked each student to select from the same list of 37 systemsengineering competencies to identify which competencies were addressed in the course; and toselect from the same six competency knowledge levels to identify
., and D. V. Watkins, “Beyond Leadership,” International Journal of Business and Social Science, Vol. 3, No. 4, 2012, pp. 22-30.20. Schindel, W.D., S.N. Peffers, J.H. Hanson, J. Ahmed, and W.A. Kline, “All Innovation is Innovation of Systems: An Integrated 3-D Model of Innovation Competencies,” Presented at American Society for Engineering Education Annual Conference and Exposition, Vancouver, Canada, 2011. Available online at: http://www.google.com/url?sa=t&rct=j&q=&esrc=s&frm=1&source=web&cd=1&ved=0CCkQFjAA&url= http%3A%2F%2Fwww.asee.org%2Fpublic%2Fconferences%2F1%2Fpapers%2F1370%2Fdownload&ei= 88C4UtKlIOKbygH2z4GgAw&usg=AFQjCNF0gIcZcdvgiM1n_hBbCUsxkYq9RQ&bvm=bv.58187178,d. aWc
of the attempt scores for each homework assignment. Thenumber of attempts and range of attempts were calculated after manipulating the submission dataexported from ANGEL to Microsoft Excel®. The homework submission variables describingthe students’ interaction with the online homework included the time between the first and lastattempt of the homework assignment and the time between the first attempt and the due date ofthe homework assignment. These variables show when students started the online homeworkassessment and how long they took to complete their homework attempt(s). These data werecalculated by using the submission time stamp data from ANGEL for the time of eachsubmission. A macro was written in Excel to transform submission time
clearlyimply a need for engineers to be competent in systems thinking and teamwork/communication,to understand the issues of sustainability, and to work effectively on cross-disciplinary problems.A selected set of (mostly non-technical) KSAs identified as important by a survey conducted atthe ASEE-NSF workshop9 and which stakeholder(s) must be responsible to teach them (inpercentages) are shown in Table 1. The numbers within parentheses next to each KSA indicateits priority in the list of 36 KSAs identified through the survey. The sample data presented belowshows the critical role engineering educators have in instilling these KSAs in the futureengineering workforce.While some of the KSAs identified can be integrated into existing courses through