evaluating projected cash flows against a Minimum Attractive Rate of Return (MARR), we bring up the issue of whether profitable plants should be closed if their rate of return is not sufficient. Closing the plant would put hundreds of people out of work, and decimate the local economy. A decision on whether to outsource a labor intensive activity to an overseas plant may need to account for qualitative factors such as local labor practices and how they might reflect on the company reputation, as occurred with NikeThese kinds of issues, that are quite real, require students to have an awareness of the biggerpicture, and a well developed value system.A number of approaches to improve the engineering economics course
from “totally agree” to “totally disagree”. The facilitator would then invite sharing ofperspectives along the spectrum, to engage the group in social knowledge construction. Students could beasked to breakout into small groups and craft pitches on portable whiteboards, and a facilitator wouldinvite a few groups to pitch the audience on their ideas for startups.As the Harvard education strategist Tony Wagner writes “The world doesn’t care what you know, it caresabout what you can do with what you know”[15]. There is clear opportunity for university libraries toform partnerships to develop a new layer of experiences focused on entrepreneurship that go beyondcontent delivery. The work herein reflects a collaborative partnership between two
situations needs significant purification. However, water purification units are expensive and not easy to obtain. Therefore, you are tasked to design an inexpensive, easy to use, easy to assemble, durable, and low maintenance water purification system using low cost, readily available materials to quickly remove contaminants from water. You will focus on reducing the turbidity of a sample of water. Testing Performance Turbidity is a measure of the lack of clarity (cloudiness) of water and is a key test of water quality. Turbidity is apparent when light reflects off of particles in the water. Some sources of turbidity include soil erosion, waste discharge, urban runoff, and algal growth. In addition to creating an unappealing
foreach user’s account (Figure 2). Although this is an imperfect metric since students often watchvideos together and this is logged only in one student’s account, students who benefit from theability to re-watch lecture material would presumably have a large number of video watchesand/or a large cumulative duration of video watching. Figure 2 shows that contrary to ourhypothesis, students who spend the most time watching videos do not perform better thanstudents who watch the assigned videos only once (59 videos, 17.6 hours). It is, however,important to note that the number of videos watched probably only reflects video loads, andwould not capture multiple watches of the same segment, so there could still be a hiddencorrelation, but this data
-curricular support: A multi-case study of engineering student support centers,” Virgnia Polytechnic Institute and State University, 2015.[16] J. Nosoff, “Minority Engineering Student Organizations,” in Handbook on Improving the Retention and Graduation of Minorities in Engineering, National Action Council for Minorities in Engineering, Inc, 1985.[17] G. Young, D. B. Knight, and D. R. Simmons, “Co-curricular experiences link to nontechnical skill development for African-American engineers: Communication, teamwork, professionalism, lifelong learning, and reflective behavior skills,” in Frontiers in Education Conference (FIE), 2014.[18] W. C. Lee and H. M. Matusovich, “A Model of Co-Curricular Support for
collected from the participants’ teacher for a response rate of over 50%.Upon confirmation that both the participant and the participants’ parents had signed the letter ofconsent, the letter was removed from the responses to anonymize the data.Data AnalysisDespite underrepresentation of females in the survey population, over 50% of the participantsidentified as female. This was ideal for studying gendered perceptions, but may reflect somegendered perceptions of the importance of this area of research.In this work two questions of the survey will be analysed, those where students were asked torate the skill set of a typical engineer, and then rate themselves in those same skills. The 13 skillsevaluated are found in Table 2. Of the 27 respondents two
for a sample assessment question).Students completed self-assessments of each competency in which they rated their currentstanding on a nine-point scale, with a score of nine reflecting expert status. An open-endedquestion was posed for each competency in which justifications for the rating were solicited.Additionally, advisors completed assessments rating their graduate students on each competency.Individual feedback reports were generated for each student based on the assessment results (SeeAppendix A for a sample feedback report).Following the assessment phase, each student and his or her advisor were presented with anindividualized feedback report. A member of the research team then met with each student-advisor pair to review the
university with a private charter located on the eastcoast. Data were collected via a faculty climate survey in spring 2014. The survey was developedusing faculty climate surveys tested and implemented at the University of Wisconsin-Madisonand at the Rochester Institute of Technology. Some questions were taken directly from Bilimoria,et al.’s survey to reproduce their work with a high degree of fidelity. Finally, questions wereadded and refined to reflect the specific climate and history at our institution.The original sample consisted of 644 full-time faculty members on and off the tenure track.Because the professional experiences of faculty off the tenure track vary considerably withcollege and workload assignment, we limited our final sample to
engineering bachelor’s degrees. However, while women receive over halfof bachelor’s degrees awarded in the biological sciences, they receive far fewer in the computersciences (17.9%) and engineering (19.3%). This trend reflects upon the workplace in these fieldswith women making up only 29% of the science and engineering workforce, with relatively lowshares in engineering, around 15%. The need for more educational opportunities for femalestudents in fields of Science, Technology, Engineering and Mathematics (STEM) is present andthere is a need for programs to help correct this trend8.There are currently some STEM outreach programs in place within the United States. The UnitedStates Naval Academy (USNA) is the host of a STEM Summer Camp program. The
Design for an Integrated ProjectDelivery Studio. Proceedings of the 46th ASC International Conference. Omaha, Nebraska, 2011.8 Vanasupa, L., K.E. McCormick, C.J. Stefanco, C. J., R.J. Herter, & M. McDonald. Challenges in Transdisciplinary,Integrated Projects: Reflections on the Case of Faculty Members’ Failure to Collaborate. Journal of InnovativeHigher Education. 37/3, 2011.9 Estes, A.C. and Baltimore, C. “Using K’nex to Teach Large Scale Structures to Architects and ConstructionStudents.” Paper 2014-9826. 2014 ASEE Annual Conference and Exposition Proceedings, ASEE, Indianapolis,2014.10 ARCE Magazine, “K’nex Connection: Students Play with Toys, Learn About Structures.” Department ofArchitectural Engineering, California Polytechnic
paper authors willpresent the impact of utilizing the “adaptive follow-up” modules in Pearson MasteringEngineering, as well as a reflection on the different methods used over the study period.As in previous years, assessment of the efficacy of homework assignments will be based onobservation of students’ performance on exams, and a survey of students’ perceptions relative tohistorical norms. Institutional review of research protocol determined that full board review ofthe study and informed consent was not required.IntroductionOver the past 3 years the authors have been collecting and reporting data on homework, quiz,and exam performance, as well as survey data on students’ perceptions of learning and opinionson the methods used in the course
participation the faculty at ASU who are members of the affinity groups.Finally, we thank the The Polytechnic School at ASU and the evaluation team for supportingdata collection and participation in this research. This work is supported by the National ScienceFoundation Grant 1519339. Any opinions, findings, and conclusions or recommendationsexpressed in this material are those of the author(s) and do not necessarily reflect the views ofthe National Science Foundation.ReferencesBolman, L. G., & Deal, T. E. (1991). Leadership and management effectiveness: A multi-frame, multi-sector analysis. Human Resource Management1, 30(4), 509–34.Borrego, M. & Henderson, C. (2014). Increasing the use of evidence-based teaching in STEM education: A
second. There are also differences between causes of attrition in the firstyear versus in the long-term. Students who continue into the second year of engineering school aremuch less likely to leave engineering, despite any difficult courses they may face. Both retentionand repetition are therefore important when reviewing student progress through a multiple-semester math sequence to get reflections on the engineering program as a whole. This analysiscan identify problem areas to address more specifically. At this engineering school, attrition is a particularly high during and after the secondsemester. This is the same for the students who start on-track in the math sequence, takingEngineering Analysis I, and for those who must take the
. Anecdotally, the instructor notesthat during the lab activities, the students would attempt to complete the instructions as quicklyas possible, spending little time analyzing and reflecting on the unit operation or the meaning oftheir own actions. For the demonstrations, students merely watched a TA point out importantparts of the equipment. The equipment was not always even turned on. In these situations, thestudents did not interact personally with the equipment in any way.The course revisions utilized a more project-based learning approach. For each of three unitoperations, students were given a semi-ambiguous set of goals (e.g., find the column efficiencyrelative to flowrates) and three four-hour lab sessions with which to find the necessary data
working for Delphi. She completed her postdoctoral studies in engineering education at the University of Pittsburgh. c American Society for Engineering Education, 2017Improving Student Capstone Experience by Early Exposure and Engagement David E. Schmidt and Renee M. ClarkAbstractMany mechanical engineering students entering the capstone course struggle with the open-ended natureof the experience. While students are eager to apply their technical skills in a design environment,proficiency with professional skills can represent the greatest barrier to success. While freshman andsophomores are exposed to these skills, they must be applied and reflected upon in a
skillsand primarily the practice of exemplary leadership. It started with a self-refection where eachstudent was given a list of behaviors and actions to reflect if in leadership positions, they preformthem or not. The workshop then went into the five practices of exemplary leadership and how touse them. At the end of the presentation the ambassadors split into groups to create a skit basedon a given scenario and the material covered. The second workshop focused on team building.The workshop started with defining a team and the difference between a group of people and ateam. Then the ambassadors were divided into groups and given a task. After the task wascompleted and presented the group thought back to the first workshop on leadership. Each
proper measurement that we can make required changes to anexisting process in order to increase either efficiency or effectiveness. Proper measurementrequires that we identify sufficient measurement points throughout our process, and, that thesemeasurement points are reflective of how the process is running.One can also choose too many measurement points. Too many points can lead to excessivemeasurement so that all that is accomplished is taking measurements.Defining the Distance Education ProcessDistance education as a process, among other activities, includes an experiential understandingand continuing market-based exploration of target-rich environments, distance deliverymediums, adaptive learning, the use of predictive analytics and
manufacturing experience. The course exists as aproblem based learning (PBL) environment, and as such it focuses on the five primarycharacteristics of such an environment: Problem-focused, student-centered, self-directed,self-reflective and having a facilitator instructor [1]. This environment is intentional to allowthe students to synthesize what is actually required within the context of their project.Schwering supports this methodology and defines the act of providing an open-ended projectbased project as one of the hallmarks of a superior capstone experience [2].Students enrolled in the capstone course divided into groups of five or six members. Theclass typically has between four and six of these groups. One of the group member will takethe role
topic.Overall, students were observed to place more care in their experiments than they had in the past.This was especially evident in the final projects, where students took great care to minimizefluctuations in their system’s outputs. Accordingly, average final project scores were a half-letter grade higher than in past semesters (28 students each term; same instructor), reflecting thisincreased care and professionalism. For example, a group optimizing a paper airplane designselected heavy paper as it was found to lead to less fluttering; another group carefully designedtheir “bottle flip” experiment to minimize the human error; another meticulously determined arepeatable condition to test soap bubble lifetime. It is believed the new randomization
set to 1, the secondpoint is now selected as the nearest. Theincorrect selection of the data point causedthe error in the estimates seen in the validationdata set. During the Detailed DesignReview faculty and students determined Figure 4: An illustration of deficiencies foundthat sufficient prototyping was performed during prototyping. 2 dimensional example ofby the team. Issues with the preliminary measurement space. (top) Projection of that samedesign had been identified and a sufficient plan space onto 1 dimensional space. (bottom)existed to address those deficiencies. The teamupdated all documents to reflect the necessarychanges and maintained sufficient focus on the problem identified in the Concept
location • Feedback and discussion with peers from outside the institutionWhile the benefit of dedicated time was highlighted above, we found that having this workshopaway from campus was helpful. There is a growing body of literature pointing to the need forgroups to have so-called “other places”, particularly when working on innovative projects thatmay be counter to the prevailing culture of an organization.24,25 While we do not claim that thisactivity strictly follows the models that have been reported around corporate intrapreneurship,we do believe some of the benefits seen by groups working in these other places similarly helpedour time of reflection and planning. Lastly, it helped to get input from peers from otherinstitutions. Just as
. Student were asked to reflect on how intellectually stimulating the MatLab projects were,with a rating of 1 being “not very stimulating”, a rating of 3 being “just right” and 5 being “toomuch”. The overall results were mediocre, with an average score of 3.10 ± 0.71. We believe thisis because students equate intellectual stimulation with difficulty. Intellectual stimulation isdefined as being encouraged to innovate and be creative, as well as encouraged to critical thinkand problem-solve. Intellectual stimulation involves arousing students’ thoughts and imagination[8]. However students tend to think that more thought means more work and thus an increasedlevel of difficulty. When comparing the results of asking students about the difficulty level
rigorous, time-consuming endeavor. The intimateinvolvement of both instructors and mentors is absolutely essential during this phase to reassurestudents of their capabilities, to assuage worries about grading versus learning, and to encouragepersistence. Thus the vital role of healthy-functioning teams is clearly evidenced in promotingstudent success.Managing Large EnrollmentsOur chemical engineering undergraduate enrollment has continued to grow unrelentingly from alow of 175 in 2005 to repeated historic records each of the past five years with a currentenrollment of almost 450 undergraduates. This growth has expectedly been reflected in a surgein freshman enrollment (from 30-40 students in 2005) to an enrollment of 175 in the fall 2015semester
indicates that the cart was traveling at a speed of 0.017 cm/µs. Most groups will use theraw data as reported in centimeters and microseconds. When asked, students are satisfied with thesmall number that they determine for the speed. It is considered as a reasonable result until it is Figure 3: The header comment to the starter sketch controlling the Vernier Motion Detector.converted to 170 m/s, or half the speed of sound used in the sketch. The fact the 90% of labgroups report this result without reservation initially reflects student willingness to accept theresults that the computer reports with little critical evaluation. This leads to a discussion abouthow to modify the program to report the time that the cart is at each position and not the
temperatures. In addition, the antenna setup should be carefullyselected for temperature. For example, at room temperature, if the RFID antenna is required 2ftof antenna to antenna distance, the best distance between tag and the antenna is 3ft for the bestdetection rate. At the higher temperature, T = 130°F, if the tag is located 4ft away from thereading antenna, 4ft of antenna distance or DCA = 2ft is the best for the maximum reading rate.There are couple of limitations. First, the environmental temperature is simulated using smallbox and only the tag is inside of the box while the antennas are outside. This implies that onlythe tag is affected by the temperature, while the reflected signal from the passive tag is partiallyaffected. In other word
noted, students in the orbitalmechanics class are from two different tracks (aeronautics or astronautics) as well as differentclass years (juniors and seniors). While these students have shared aspects of their curricularexperiences, they have not taken all of the same core technical courses together. The separationscourse, on the other hand, is a class of chemical engineering juniors who have shared their entiredisciplinary coursework. Thus, the variability in their experiences with respect to instructor andchemical engineering curriculum is negligible. This may reflect why the chemical engineeringcourse showed no statistically significant results, and the relatively small variability in answersobserved. In fact, all students in the
engineering education from Texas A&M University. Her research areas of focus are faculty perspectives and growth through curriculum design and redesign, interdisciplinary teaching and learning, reflective eportfolios and professional development of graduate students related to teaching.Dr. Nate Poling, Texas A&M University As an educator and faculty developer, Nate is interested in leveraging the power of popular culture and multimedia to help facilitate effective learning. In a teaching career that has ranged from the K12 to the Ph.D. levels, he has always stressed the importance of using relevant material in motivating and engag- ing students in the learning process. At the Center for Teaching Excellence at Texas A
carwas only able to see one wall of the hallway, it did not always steer correctly back to the centerof the hallway, as it would detect both lane boundary lines on the same wall as shown in Figure 5below. Other times, the car would stop before reaching the end of the hallway due to notdetecting any lane boundary lines. Figure 5. Example of detecting both lane boundary lines on the same wall.Issues that need to be solved include (1) failure to detect lane boundaries due to the gradientbetween the baseboard and its reflection on the floor being below the detection threshold; (2)incorrect steering actions when only one lane boundary is detected; and (3) S pattern or zig-zagsteering actions when the PlayStation Eye camera is off-center or
GROUP LEADER’S REPORT (Confidential) Today's Date: This report is to be turned in to the TA personally the day the report for the experiment is due. All the information in this report must be completed as accurately as possible, failure to do so will reflect on the Group Leader's performance and appraisal. Group Number: Experiment Number: Title: Lab Session No.: Group Leader's Name: Teaching Associate's Name: I. Time Report Group Members Time in Laboratory Time in Calculations If absent from lab or
problem-solving and the skills necessary to useprogramming to solve real-world problems. We believe that learning a second language helps toaccomplish this goal, as it demonstrates to students that the connection between programmingand problem-solving is not language dependent, but rather that it revolves around a core set ofskills. Additionally, students are exposed to the idea that they can apply these skills to newprogramming languages. As the final exam was undertaken in MATLAB, the students in AIDEgroups could not observe a direct link between the project and preparing for the final. Thisobservation may reflect perceptions on behalf of the students that the course is a “MATLAB”course, rather than a more general programming course. In the