statisticalsignificance. This work will inform modifications to enhance the course in future semesters.Modifications to the course will be monitored and impact on performance and perception will bequantified. 1. Twigg, C.A., “Improving Learning and Reducing Costs: Redesigning Large-Enrollment Courses”, The Pew Learning and Technology Program, Troy, New York (1999). Available from Center for Academic Transformation, Rensselaer Polytechnic Institute http://www.center.rpi.edu. 2. U. S. Department of Education, Office of Planning, Evaluation, and Policy Development, Evaluation of Evidence-Based Practices in Online Learning: A Meta-Analysis and Review of Online Learning Studies, Washington, D.C., 2010. 3. WileyPLUS, http
general overview of productdevelopment process (see Table 3). Students form a start-up company and design a newproduct, develop a (rough) design of processes to manufacture this product, build acorresponding financial model and a business plan. This course is described in details in nextsection. Stage 2 is divided into two semesters: during the first semester lectures cover ProcessDesign and students are learning hands-on fundamentals of specialized software platform(s)for process modeling and simulation. Based on the knowledge and experience gained in the PPI class, in the following semesterstudent groups contact local companies, develop project proposals, and carry out projectsaccording to the joint agreement. Student teams offer services
. Lavelle, and Ted G. Eschenbach, “How Do Engineering Managers Teach Engineering Economy?” Proceedings of the 2008 ASEM National Conference, West Point, November 2008, CD.14. Newnan, Donald G., Jerome P. Lavelle, and Ted G. Eschenbach, Engineering Economic Analysis 10th, Oxford University Press, 2009.15. Newnan, Donald G., Ted G. Eschenbach, and Jerome P. Lavelle, Engineering Economic Analysis 11th, Oxford University Press, 2012 (in press).16. Park, Chan S. Contemporary Engineering Economic Analysis, 4th, Prentice Hall, 2007.17. Peterson, William R., “Spreadsheets as the Primary Means of Engineering Economy Education,” Proceedings of the 2009 IERC National Conference, Miami, June 2010, abstract on CD.18. Ross, Stephen A., Randolph W
: Student Survey Questions for Engineering Economics Course. Relevant Survey Questions 1. Which of the following economics courses did you take or are you currently taking? - Microeconomics - Macroeconomics 2. If you took one or both of the courses listed in the prior question, which of the following courses do you feel was more valuable for you? (Circle Only One) - Economics Course(s) - Engineering Economics Course 3. Do you feel as though every student (non-engineering and engineering) should take a course like engineering economics? (Circle Only One) - Yes - No 4. Do you feel as though a course like engineering economics would be a good course to offer as a General Education course available to all
. Assessment criteria can include: (a) Whether the problem was accurately defined (the Problem as State & Problem as Understood)? (b) Did the solution(s) solve the problem? (c) Did the student engage in critical thinking? (d) How is the solution going to be implemented? (identify concerns). (e) During student presentations: evaluate the use visuals, and presentation preparation & skills. (f) During group/team presentations: evaluate the quality of collaboration and initiatives undertaken by individual team members.(3) Student input should be part of the assessment process: Use class discussions to evaluate/critique PBL assignments/activities. Select
overall sitehits and time spent on the site with the final grade. Results are shown in Figures 8 and 9. Figure8 relates total site time in hours to final grade and showed a positive relationship (R2 = 0.1717) infigure 8 similar to Figure 6 (R2 = 0.182), final grade and number of chapter s with videosaccessed. Figure 9 relates final grade and the overall number of site log-ins and provided thebest relationship we found (R2 = 0.3123). In general, this may indicate that the level of overalluse of the various tools of the Blackboard site as represented by the total hits or log-ins docontribute to the final grade. The learning tools the course provided were sufficient to learn the materials (videos, respondus
S 14.6943 R-Sq 33.5% R-Sq(adj) 31.4% 90 Final Exam Grade 80 70 60 50 40 0 1 2 3 4 5 6 7 8 9 Cheat-Sheet ScoreFigure 5: Simple regression analysis for student grade and cheat-sheet quality score outcomesfrom the final
2012 American Society for Engineering Education Annual Conference & Exposition.[6] John Lamancusa, Jens Jorgensen, Jose Zayas-Castro, Julie Ratner, “THE LEARNING FACTORY – A new approach to integrating design and manufacturing into engineering curricula,” Proceedings of the 1995 American Society for Engineering Education Annual Conference & Exposition.[7] R.S. Sawhney, S. Maleki, J.H. Wilck, P. Hashemian, "Center for Productivity Innovation's Student Project with Industry Program at the University of Tennessee, Department of Industrial and Systems Engineering," INFORMS Transactions on Education, 13(2), 83-92, 2013.[8] Alan Dutson, Robert Todd, Spencer Magleby, Carl
. Guo, J. Kim, and R. Rubin, “How video production affects student engagement: An empirical study of MOOC videos,” in Proceedings of the first ACM Conference on Learning at Scale, Atlanta, GA, March 2014.6. Maryland Online, Inc., “Quality Matters Rubric Standards, Fifth Edition, 2014,” Maryland Online, Inc, Annapolis, MD, 2014.7. R.E. Mayer, Multimedia Learning, Cambridge University Press, New York, 2001.8. S. Veronikas, and M.F. Shaughnessy, “An interview with Richard Mayer,” Educational Psychology Review. vol. 17, no. 2, Jun 2005.9. J.A. Day, “Investigating Learning with Web Lectures,” Ph.D. Dissertation, Georgia Institute of Technology, May 2008
, 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
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