research are available indicating the importance of integrating various skillsfrom the job market into the engineering curriculum. Chikumba, S. et al. discusses the benefit ofintegrating hard technical skills and technologies with the soft skills required by IndustrialEngineers to satisfy the marketplace [3]. The University of Florida produced a study on the“talent paradox” in which students cannot find jobs because they do not possess the skillsrequired by companies and companies cannot find the right employees because of the lack ofskills in applicants [4]. One article outlines a course for engineering students in their lastsemester. This course aims to bridge the skills gap from school to real life situations [5],[6]. TheU.S. Department of
, T(r | p) T(p | p) for all r p andT(r* | p) T(p | p) when r* = p. [1-4] Many strictly proper scoring rules have been developed.Three of the most popular are given below.Quadratic (Q): Qi (r ) 2 ri r r [1,1] (2)Spherical (S): Si (r) ri / (r r)1/2 [0,1] (3)Logarithmic (L): L i (r ) ln( ri ) ( ,0] (4)The range of possible scores differs considerably. For example, logarithmic scoring holds thepossibility of an infinitely negative score. While this may seem like a defect, we will argue thatthis feature is a benefit of log scoring. Any linear
some are entirely out of our control from an instructional effectivenessstandpoint. Factors considered to be under our control are semester (SEM), lecture (LEC), andsession (SESSION), as these factors relate to the overall performance of the instructor(s) as awhole (assuming the nature of students in the course is consistent from year to year). Factorsthat are partially under our control are TA, experience (TAEXP), and degree (TADEG). While itis not always possible for the faculty to select each TA, some control is possible, and it is alsoattainable to improve the training and mentoring of TAs. Factors considered to be outside ourcontrol include major (MAJ) and lab attendance (LABATT), average lab score (LABSCORE),and homework score (HWSCORE
knowledge Acquisition of knowledge Time & resource Initiated by instructor but Instructor management have to be managed by student(s) Level of self-direction High Medium to high Level of collaboration and High Low to medium role differentiationLiterature on Simulation EducationSimulation has become one of the critical courses in IE curriculum especially after the 90s withthe increased computerization and computational power in business organizations and highereducation institutions. A wide spectrum of simulation software packages and languages are stillin-use at various institutions worldwide. Literature
] Total Cost Total Cost Scenario Device(s) Unit Price (40 students) (100 students)1 – preferred for upper Oculus Go $200 $8,000 $20,000level classes2* – preferred for lower Google Cardboard $15 $600 $1,500level classes3 Oculus Quest $400 $16,000 $40,0004 Google Daydream $99 $3,960 $9,9005*+ Samsung Gear $130 $5,200 $13,0006
on curriculum design," Journal of Engineering Education, vol. 82, pp. 203-211, 1993.[9] J. T. Klein, "Interdisciplinary Teamwork: The Dynamics of Collaboration and Integration," in Interdisciplinary Collaboration: An Emerging Cognitive Scienc, S. J. Derry, M. A. Gernsbacher, and C. D. Schunn, Eds., ed: Mahwah: Lawrence Erlbaum Associates, Inc., 2005, pp. 23-50.[10] W. C. Morse, M. Nielsen-Pincus, J. E. Force, and J. D. Wulfhorst, "Bridges and Barriers to Developing and Conducting Interdisciplinary Graduate-Student Team Research," Ecology and Society, vol. 12, 2007.[11] D. Richter and M. C. Paretti, "Identifying barriers to and outcomes of interdisciplinarity in the engineering classroom
Excel asthe second-best choice as explained by the participant in Figure 4 below. Figure 4. P1’s “overall” software choice for solving OR concepts (1)-(5).Changing the use of software package from Lingo to Matlab when linear programming changes to non-linearprogramming is an important outcome of this study; even though students learn multiple software packages tosolve a variety of problems, their ability to critically choose which program to be used when and how is avaluable experience for them. Participant P2 indicated Excel to be his/her favorite software to be used for ORapplications due to its ease of use, his/her choices to solve OR questions was a combination of Excel, Lingo andMatlab. A surprising aspect of P2’s response is
University of Hertfordshire, (b) LEED Building site with sample features, (c) PFNC Design for an $8,000 home using shipping containers for low income families in Mexico, and (d) Thinnest house in the world designed by Polish architect J. SzczensyStudents are then asked to consider the typical home designed in the 1950’s, such as the one inFigure 4. During this time, home designs have one bathroom for the use of the entire family.When this is placed in contrast to the number of bedrooms and baths in their Dream Home,students are asked, “Why do they need so many bathrooms?” given that people today are notdifferent physically from those in the 1950’s. Students quickly realize that the needs of theindividual have not
toengineering education because of the link between identity formation, critical for entry andretention into a discipline, and the lack of diversity in United States engineering: “undergraduateengineering education is dominated by [w]hite males. The majority of all bachelor degreesawarded in engineering are to [w]hite males”[4],[5]. Thinking about students’ meaningful writingexperiences as related to enagement may be a way to further examine engagement as a “precursorto persistence”[6].Defining meaningful writing is important to understand its distinction. In the Meaningful WritingProject, Eodice, Geller, & Lerner [3] define meaningful writing as Agentive: develop[s] a sense of agency about [students] as writers, learners, and thinkers
, 2003, v 23, n 17, pp 6748-53. 3. Kelly, S. W., Burton, A. M., Kato T., Akamatsu S., “Incidental Learning of Real-World Regularities,” Psychological Science, 2001, v 12, n 1, pp 86-89. 4. Kundrat, M. E. “Measurement and Methods Improvement for the Grand Valley State University STEPS Camp,” submitted to the STEPS Director, GVSU. 5. Greif, Michel. The Visual Factory. Productivity Press, Portland, OR: 1991.. 6. Weiss, W. H. “Human Engineering Goals, Minimum Injuries, Maximum Productivity,” Production Engineering. 1982. 7. Barnes, R. Motion and Time Study.. New York: Wiley, 1980. 8. Konz, S. Work Design.. Columbus, OH: Grid, 1979. [1990] 9. “Ergonomics:: The Scientific Approach to Making Work Human,” International
(1), 26-39. 3. Rugarcia, A., Felder, R. M., Woods, D. R., & Stice, J. E. (2000). The Future of Engineering Education: I. A Vision for a New Century. Chem. Engr. Education, 34(1), 16-25. Page 25.787.74. Wang, S. C. (2009). In K. Jusoff, S. S. Mahmoud, & R. Sivakumar (Eds.) University Instructor Perceptions of the Benefit of Technology Use in E-Learning. International Conference on Computer and Electrical Engineering (pp. 580-585). Los Alamitos, CA: IEEE Computer Society. Page 25.787.8
’s) as described in its income statement is as follows3 –Year 3/2008 3/2009 3/2010 3/2011Total Revenue $20,528 $23,372 $28,147 $31,197Cost of Sales $6272 $6250 $7923 $9372Research & $1487 $1218 $1121 $1269DevelopmentSelling, General, & $2158 $2177 $2414 $2474AdministrativeExpensesIncome Taxes $3892 $4644 $5917 $6330 (a) Based on the above data, calculate the present worth of the company. Use an interest rate of 4% per annum. NOTE: We
invaluable input. The author also thanks Dr. Paul Anderson, Director, Roger andJoyce Howe Center for Writing Excellence for his valuable guidance and encouragement Page 25.225.13References:Armstrong, Thomas. (1994). Multiple Intelligences in the Classroom. Alexandria, VA: Association forSupervision and Curriculum Development.Barrows, Howard S. (2000). Problem-Based Learning Applied to Medical Education. Springfield, IL: SIUSchool of Medicine.Barrows, H. S. (1996). “Problem-based learning in medicine and beyond: A brief overview.” In L.Wilkerson & W.H. Gijselaers (Eds.), Bringing problem-based learning to higher education: Theory and practice (pp. 3
. Journal of College Student Development, 43(5), 2002, pp. 7Ι2-7'393. Zheng, J. L., Saunders, K. P., Shelley II, M. C., & Whalen, D. F. (2002). Predictors of academic success for freshmen residence hall students. Journal of College Student Development, 43(2), 267-283.4. Takahira, S., Goodings, D., and Byrnes, B., “Retention and Performance of Male and Female Engineering Students: An Examination of Academic and Environmental Variables,” Journal of Engineering Education, Vol. 88, 1998, pp. 297-304.5. Ohland, Matthew W., Sharon A.Frillaman, Guili Zhang, Catherine E. Brawner, and Thomas K. Miller. “The Effect of an Entrepreneurship Program on GPA and Retention.” Journal of Engineering Education, Oct. 2004, pp. 293-301.6. French, B
engineeringnotebook can be used as a reference on their test(s). The notebooks are the common 9-3/4" x 7-1/2", 80 – 100 page composition books carried by office supply store chains for about $2.50.Students typically paste a subset of lecture slides, reference tables, classroom examples, andstudent-developed decision trees in the notebooks. An advantage of the journal entry format isthat students may take ownership of the format and express difficult concepts through alternatetypologies. Figure 5 above, for example, demonstrates a very linear or analytical format,whereas students display information from a more conceptual framework. In addition, the course incorporates on-line spreadsheet templates for normal probabilityplots; continuous variables
valuable design. People play a role by engaging in projects and tasksfocused on problem-solving and value creation.2.2 Curriculum Design ComponentsThis section provides an overview of the standardized, holistic approach for integrating theentrepreneurial mindset into existing courses across the disciplines using the four curriculumdesign components [1].#1: Curriculum Design for Entrepreneurial IntegrationFrom a macro perspective, a learning experience should provide the ability to discover, evaluate,and/or exploit opportunities. When working towards developing the most valuable design(s),opportunities that create the most value should be derived from customer desirability, technologyfeasibility, and business viability. From a theoretical lens
CURE section. For thisreason, we did not advertise or inform students about the planned difference between thesections. Out of a total of 134 students (40 in the CURE section, 94 in the traditional lecturesection), only two changed sections after the first day of class, and this was for schedulingreasons. We note that for this pilot semester, the CURE section started with 110 available seats,and the traditional section had 100 available seats. We think the large difference in studentsregistered was a function of schedules for the S’18 semester.Pilot Program: Research Activities & AssignmentsIn the CURE section of IE271, there are now four research experiences involving the followingtopics: time study and line balancing, ergonomic risk and
age where largeamounts of data are being collected with a growing need for those that can make “data-drivendecisions” [3]. McKinsey Global Institute, a business and economic research firm, claims thatwith the growth of digital data, the United States is going to need an additional 140,000 to190,000 analysts and more than 1.5 million managers capable of performing data analysis [4].Additional calls have been made for more statisticians in the federal system, working in placessuch as the Bureau of Labor Statistics or the United States Census Bureau [5].These pleas are not new, however; even in the early 1980’s authors were writing about the needto make the field of statistics as a separate discipline [6] and recognizing the growing need
Society for Engineering Education (ASEE) Conference, pp. 1-13, 2017. 6. Girard, C., Ecalle, J. and Magnan. A. (2013). Serious games as new educational tools: how effective are they? A meta‐analysis of recent studies. Journal of Computer Assisted Learning, 29(3), 207-219. 7. Kapp, K.M. (2012). The gamification of learning and instruction: game-based methods and strategies for training and education. John Wiley & Sons. 8. Truman, S., Rapp, N., Roth, D., and von Mammen, S. (2018). Rethinking real-time strategy games for virtual reality. Proceedings of the 13th International Conference on the Foundations of Digital Games. 9. Martel, E., Su, F., Gerroir, J., Hassan, A., Girouard, A., and Muldner, K. (2015). Diving
- Making Connections Table 3 Pre and Post Student Performance Comparison DOE-F17 DOE-S17 QA-F17 QA-F16 QA-F15 Item (S) (NS) (S) (S) (NS) Course Grade – Average (max. 100) 71.00 66.21 88.39 76.90 71.03 pts.) Grade – Median Course 69.94 62.79 88.92 79.39 71.10 Course Grade - Standard Deviation 9.37 19.00 8.59 12.86 22.03 Course Grade - Minimum 53.75 33.31 74.00 49.49 20.62 Sample Size (N) 28 30
classroomapproach in multiple setting would provide deeper insights into this area.ReferenceBrownell, S.E., Kloser, M.J., Fukami, T., and Shavelson, R.J. (2013). Context Matters: Volunteer Bias, Small Sample Size, and the Value of Comparison Groups in the Assessment of Research-Based Undergraduate Introductory Biology Lab Courses. J. Microbiol. Biol. Educ. 14, 176–182.Eagan, M.K., Hurtado, S., Chang, M.J., Garcia, G.A., Herrera, F.A., and Garibay, J.C. (2013). Making a Difference in Science Education: The Impact of Undergraduate Research Programs. Am. Educ. Res. J. 50, 683–713.Harrison M., et al. (2011). Classroom-based science research at the introductory level: changes in career choices and attitude. CBE-Life Sci. Educ. 10, 279-286
leadership of other healthcare organizations havesimilarly aided in the successful completion of student projects and implementation of theresults.Table1.PartialListofStudentProjectsProject Level of Effort Deliverable(s)Patient falls Two-semester senior Identification of major contributing factors,prevention/reduction design project recommendations, and training programPrevention of retained Two-semester senior Low-tech simulator and training programobjects during surgery design projectRedesign of existing Two-semester senior Customized software package thatperformance measuring design project consolidates
2015).4. Ruamsook, K. and Craighead, C. (2014), "A supply chain talent perfect storm?", Supply Chain Management Review, Vol. 18 No. 1, pp. 12-17.5. Knemeyer, A. M. and Murphy, P. R. (2004), "Promoting the value of logistics to future business leaders: An exploratory study using a principles of marketing experience", International Journal of Physical Distribution & Logistics Management, Vol. 34 No. 10, pp. 775-792.6. Ozment, J. and Keller, S. B. (2011), "The future of logistics education", Transportation Journal, Vol. 50 No. 1, pp. 65-83.7. Arnseth, L. (2015), "The logistics workfroce talent crisis", Inside Supply Management, Vol. 28 No. 6, pp. 20-23.8. Knemeyer, A. M. and Murphy, P. R. (2004
majority of lab experience in LU’s IE curriculum occursduring the first two years in chemistry and physics that is not part of the 2+2 online program.After the 2nd year, a single weekend lab is used for our material process lab where studentsmake a hammer in our machine shop. The Work Design lab is mostly observational studies thatcan be conducted offsite. Computer aid manufacturing and automation labs are software based.Another challenge is students having consecutive multi-semester internship, co-ops and full-timeemployment where they take classes part time that extends the average time to graduation andcomplicates reporting program effectiveness including NSF S-STEM grant effectiveness. Highperforming students tend to take longer than 4 years
, their workersare forced to adopt complex understanding and problem solving skills in technical areas.However, research pertaining to worker preparedness indicates that colleges and universities arenot adequately preparing graduates for this new work environment (Wieman, 2008)24.Manufacturing has become a field where global view and technical savvy are desirous qualitiesfor all persons involved. Since the 1980’s, manufacturing has undergone significant changes inoperational costs and product quality. The lean mangers of the 20th century are now retiring andthere are not enough new lean experts to lead US manufacturing into the next 20 years (Linford,2007)13.BackgroundResearch surrounding instructional design models has found that effective
on each step. Figure 1: Project Adaptation Framework Cyclea. Identifying Outreach DetailsBefore jumping into activity development, it is important to understand the details of the event.The desired objective(s), location, time frame, budget, number of participants, and participants’age range are all important pieces of information required to shape an effective and appropriateactivity.[13] Misunderstanding or misinterpreting any of these details could produce anineffective activity that squanders resources and provide an inadequate experience forparticipants. For example, 5th and 6th graders would need more explanation and completion timeto successfully complete a project that was designed for 7th and 8th grade
social development into engineering studies8 or using PBL inleadership development9.On the other hand, general frameworks have been used for the universities to improve theirprograms and operations. The main assumption is that the same framework used by an industryis adjustable for all kind of organization, including higher education institutions. An example isthe Baldrige Education Criteria for Performance Excellence explored and adapted for some USuniversities in the 90’s. The Criteria provides codified values and concepts of performanceexcellence from industry to education. Even though models developed outside education Page 26.86.3environments
DescriptionWe designed the VR simulation to mirror the physical simulation of the four-member teamproduction process. The VR simulation was built in the Unity game engine in the 2018 Long TermSupport release. The simulation worked both with the HTC Vive VR headset and the Oculus RiftS headset, the two most popular virtual reality platforms. For this section, we use "user" to referto a student or a participant using the VR simulation. The simulation was designed for thesimultaneous participation of four users, although two to three users would be able to participatewith some adaptation. Each user wore either an HTC Vive headset or an Oculus Rift S headset.The headsets could be mixed. Through the headset, each user was presented with a shared
social-cognitive perspective,” Theory into Practice, 43 (3), 189-196.[6]. Cohn, M., User Stories Applied: For Agile Software Development, Addison-Wesley Professional, 2004, Boston, MA 02116.[7]. Cooper, H., Lindsay, J. J., Nye, B., and Greathouse, S., (1998), “Relationships among attitudes about homework, amount of homework assigned and completed, and student achievement,” Journal of Educational Psychology, 90 (1), 70-83.[8]. Eren, O., and Henderson, D. J., (2011), “Are we wasting our children's time by giving them more homework?” Economics of Education Review, 30 (5), 950-961.[9]. Ferreira, J., Sharp, H., and Robinson, H., (2011), “User experience design and agile development: Managing
0.0613 0.0613 0.0077 Total 29 38.1737 S = 0.0875595 R-Sq = 99.84% R-Sq(adj) = 99.42% Figure 10. Analysis of Variance (ANOVA) summary for the response variable “Moment”7. Learning Analysis and AssessmentGiven that the two courses, Product Design and Work Design, are offered for junior levelstudents, the majority of students had taken to the Introduction to Engineering Design coursewhere students are taught the basics of engineering design processes, methods, and decisionmaking using team design projects. Moreover, several students in the Product Design and Workdesign classes had previous internship experiences. The knowledge and experiences of thestudents brought in different ways of thinking and