manufacturing. Students in Engineeringprograms have been very well versed in analysis, simulation, and abstract design. By themselveseach of these programs have strengths and weaknesses. However, when combining students fromboth of these program we develop teams that more closely reflect professional design teams. Theability to successfully implement complex design and build projects is enhanced.This paper outlines the design of a program at Western Carolina University (WCU) thatculminates with a senior capstone project for industry. Projects are done by teams of studentsmixed from the School disciplines of Electrical Engineering, Mechanical Engineering, Electricaland Computer Engineering Technology, and Applied Systems Engineering Technology. A
engineering departments themselves remain pri-marily concerned with how design directly impacts their teaching and interactions with students.As architects, engineers, and planners for more than a dozen collegiate engineering-departmentbuildings in the past decade, SmithGroupJJR has helped develop a series of best practices re-lated to facility design in this new era. While not the only firm to explore them, SmithGroupJJRhas organized these new best practices into five distinct trends that encourage active participa-tion, collaboration, and even spontaneity, reflecting an underlying ethic of student engagementfrom the freshman level up. We present them here, provide real-world examples from Smith-GroupJJR’s portfolio, and also propose methods of
students haveperformed assignments in which each aspect individually presented the same level of challenge.Table 2 also details other aspects of experimental complexity that increased the challenge level ofthe experiments. One aspect of scaffolding was initial use of a DAQ system to record a singlesignal of data and later using the same system with modifications to record multiple signals ofdata. Another aspect of scaffolding was that measurements in early experiments could be recordedwithout an overall plan for the order in which they should occur. Experiment 3 introduced therequirement that the order in which data was collected must be decided in advance as data collectedout of order would not reflect the desired impact of hysteresis. Experiment
or reflections regarding competitiveness in thejob-market for recent graduates. Table 6 indicates the comments from respondents. Table 6. Comments regarding experience contributing to job-market competitiveness From my experience, there are many qualified candidates for a single position. On paper, most candidates will look the same. The difference comes when you are at an in-person interview and you must acknowledge something about yourself that makes you completely different from the other candidates; generally, this quality is not even related to work or academic experience. Should be able to frame a problem. No matter the position, being able to communicate well is critical, GPA can be used to thin a stack of resumes but I
determined.ALEKS Discussion:Figure 1 reflects a scatter plot that shows the relationship of the students’ average grade earnedbetween Calculus I, Physics I, and Statics courses and the associated ALEKS score. A point onthe scatter plot is determined by grade average (y-axis coordinate) and the ALEKS score (x-axiscoordinate). The trend line shows the tendency of the ALEKS score with a certain gradeoutcome.When comparing the individual class grades with the ALEKS score received, the graph showed agradual upward trend from lower scores to higher scores in relation to class grades. This is truefor each of the three classes. The three class grades where then averaged together and comparedto the ALEKS score. This trend line showed the students having the lower
Harvard’s Gender-Science IAT and were required to submit a form reflecting on taking the IAT (students did not submit the results from taking the IAT) 3. Implicit bias presentation: a lecture was given to all classes revisiting implicit bias, discussing why students took the IAT, showing interviews with women from industry, and suggesting possible ways to address implicit bias; students shared their own stories during lecture and via online formAlong with these implicit bias activities, we wanted to know how our students’ perceptions ofstereotyped traits, learning environment, and perceived abilities changed over the course of thesemester. Student cohorts can change drastically even from semester-to-semester, so it
and abandoned properties, and building on a sense of pride of place among the residents. Two undergraduate anthropology students studied, ethnographically, the interactions of the interns (e.g. Bernard 2011). They spent all 10 weeks observing the interns’ daily activities, participating in group events, conducting interviews, and analyzing interns’ periodic reflections. Two anthropology faculty met regularly with them. This paper principally relies on their anthropological analysis. This paper highlights some of the successes and challenges involved when the number of
hands-oninstruction to students on a variety of topics. Each week the program followed a similar pattern,involving a warm-up discussion about a professional from a STEM field, a thematic mainactivity, and a closing portion that encouraged review and reflection. At select points in theprogram, a field trip was incorporated that allowed students to visit university labs, sciencemuseums, or engineering open houses.SEBA Project OutcomesOver the course of the project multiple measures were used to assess student attitudes,engagement, and the overall impact that teaching assistants, parents, and mentors had onstudents’ perspective of STEM. Feedback about the program design, implementation, content,and outcomes was obtained from school staff, parents
goal of creating a matrix that could determine the optimal reuse option for a vacant lot in the Southeast neighborhood remained. The Tech Team was able to provide formal feedback regarding their experience with the VLO matrix through final project documents where they detailed the chain of events that led to the concept of the matrix and continued through the project’s completion. Similarly, students involved in the VLO matrix’s redefinition and expansion process over Summer 2016 were able to provide feedback on their work through reflections and project progress reports. In both
, the voltage across the resistor R2 is calculated as: (100𝐾) ∗ (5𝑉) 𝑉2 = = 4.16 𝑉 120𝐾The measured value was 4.088 V, which is about 1.7 percent deviation from the calculated value.The students were asked to reflect on the differences between the measured voltage and thecalculated one, and to give reasons for the discrepancy between the measured and calculatedvoltage. The measurements made by the students allowed them to have a deeper understandingof the Voltage divider rule. (a) (b)Figure 4: (a) Resistive Circuit (b) Voltmeter Readings of the
along threedimensions: Process, Project, and Reflection.With regard to the process we anticipate students will be able to: ● Describe the “lens” of one’s disciplinary framework ● Find, read, and incorporate information from across multiple disciplines ● Communicate one’s perspective and decision-making process to colleagues from other disciplinesWith regard to the project we anticipate students will be able to: ● Design and build a quadcopter using open source technology ● Plan and implement projects in an interdisciplinary team environmentWith regard to the reflection component of the course, we anticipate students will be able to: ● Articulate in verbal and written form the importance of interdisciplinary teams ● Identify
effect oftheir efforts. Often a true demographic of these students is not understood, leaving organizerswith generalizations based upon activities and interactions in the informal setting. Manysuccesses have been recorded and discussed at length11,13, without a great deal of differentiationof students based on gender, age, or ethnicities. All of them have been proven to influencechoice of major and extracurricular interests.Demographics. Some assert that the demographics of different STEM groups have changed dueto these efforts inside and outside of the formal school setting. However, the demographics havenot changed in ways that reflect current demographics of the population at large14. It is unclear ifthis is due to targeted or convenient
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