variety of problems inresearch, production and process development, design, manufacturing as well as in domains suchas computational chemistry, biology, genomics, business forecasting, economic modeling, etc.Computational modeling and simulation is being accepted as a third methodology in scientificdiscovery processing and engineering design, complementing the traditional approaches oftheory and experiment. Many experiments and investigations that have traditionally beenperformed in a laboratory or the field are being augmented or replaced by computationalmodeling and simulation. Examples include weather and climate modeling 1, fossil fuelcombustion simulation 2, engine and vehicle design 3, materials development 4, aircraft design 5,electronic
AC 2009-1468: MANAGING COURSE OFFERING RESOURCE CONSTRAINTS INNEWER GRADUATE PROGRAMS THROUGH SPECIAL TOPICS COURSESBimal Nepal, Texas A&M UniversityPaul Lin, Indiana University-Purdue University, Fort Wayne Page 14.858.1© American Society for Engineering Education, 2009 Managing course offering resource constraints in newer graduate programs through special topics coursesIntroductionMost new graduate programs face many challenges including lower initial enrollments, limitededucational resources such as laboratory equipment, faculty lines, and under developed or“work-in-process” curriculum. While the institution has its resource constraints, the studentsmay
educate professionals that practice engineering isbased upon studying coursework, project based learning, laboratory based education and off-campus experience based learning such as internships or study-abroad. It has been stated byLitzinger et al13, that engineering education should encompass a set of learning experiences thatallow students to construct deep conceptual knowledge, to develop the ability to apply keytechnical and professional skills fluently, and to engage in a number of authentic engineeringprojects. Furthermore, engineers also need to be able to work in teams and across disciplines22.Both of these degree programs presented in this paper follow these best practices in engineeringeducation but ACEEES does it to a greater degree in
as reflection posts. We invited tenemployers across the industry, national laboratories, and academia to review the students’ePortfolio. Based on the results perceived by potential employers, we present comprehensivesuggestions for students to develop an impactful ePortfolio. ePortfolio DevelopmentWithin this interdisciplinary program, the ePortfolio is part of a required course that does notcount towards a grade (e.g., zero credit). Students created their ePortfolios as part of theprogram’s first semester program-based learning and writing communities (i.e., Spring 2017).The learning community’s goal is to enhance a student’s professional skills (i.e., criticalthinking, interdisciplinary communication
) • Philosophy of Technology (3 credit hours) • The Design Process (3 credit hours) • Technology from a Global Perspective (3 credit hours) • 15 credit hours (minimum) for a dissertation is required for the Professional Doctor Technology degree. This will be an applied R&D project focused on a current problem of a company or industry and the results must be defended to the graduate committee. Depending on the nature of the applied research dissertation, it may or may not require laboratory research. And, if it does this may or may not occur at the university or in the employer’s research facilities. Our design goal is that each candidate will complete an applied research study, and document it via a
Worlds. Princeton: Carnegie Foundation, 1987.[9] J. Luft, J. Kurdziel, G. Roehrig, and J. Turner, "Growing a Garden without Water: Graduate Teaching Assistants in Introductory Science Laboratories at a Doctoral/Research University," Journal of Research in Science Teaching, vol. 41, pp. 211-233, 2004.[10] J. S. Fairweather, "The Mythologies of Faculty Productivity: Implications for Institutional Policy and Decision Making," The Journal of Higher Education, vol. 73, pp. 26-48, 2002.[11] J. S. Fairweather, "Faculty Rewards Reconsidered: the Nature of Tradeoffs," Change, vol. 25, pp. 44-47, 1996.[12] T. Andernach and G. N. Saunders-Smits, "The Use of Teaching Assistants in Project Based Learning at Aerospace
courses from a wide range of modules4. Undergo language assessment in either English or Spanish to determine appropriate placement in the institutions sequence of language courses5. Participate in intensive language training and language support system activity, e.g., the Page 15.308.13 Purdue University on-line writing laboratory (available to all students in the project regardless of which institution they are currently studying)6. Participate in a series of pre-departure orientation activities to properly prepare trans Atlantic student for effective success overseas7. Participate in a series of welcome and entry orientation activities
thought that wasa good exercise. That is, it is difficult to collaborate with each other. So, you need to be tolerant.Or, sometimes, you need to do more and don’t have high expectations towards others.Sometimes, other team members are better than you. So, it becomes a dynamic process, like,who is going to be the leader of the group. If you think other group members are not so good,you should, don’t complain. Instead, you can undertake more responsibilities; just try to be theleader. If there is someone better than you in the group, then try to be a follower. So I think, it isabout a cooperative mode. I think being in the laboratory is the same as well. That is, you shouldappreciate others' advantages and discover the strengths of others.”In this
, University of Michigan John Younger, MD, is a Professor and Associate Chair for Research in the Department of Emergency Medicine. In addition to being a practicing physician, he leads a research laboratory focused on issues re- lated to bacterial fouling of materials. In the context of human health, the work concentrates on infections of implanted medical devices. In other contexts, his work focuses on ways to prevent, or even facili- tate, bacterial interactions with engineered surfaces. Examples of the former include preventing fouling of industrial surfaces. An example of the latter is the development of new technologies to enhance the detection of low-level bacterial contamination in clinical samples and food.Prof
speaking skills, asurvey was given to a class of 47 undergraduate chemical engineering seniors. The survey askedstudents to rate their public speaking abilities at various points throughout their college years:before freshman year, after freshman year, and during senior year (now). Coursework andextracurricular activities were also explicitly asked to understand their effects on students overtime. A sample survey can be found in Appendix I.It should be noted that these chemical engineering students average two to three classpresentations per semester after the freshman year. One presentation is required for the chemicalengineering laboratory practicum to discuss the results of their lab. Typically, these chemicalengineering students also had a
Paper ID #18458Technical Communication Instruction for Graduate Students: The Commu-nication Lab vs, A CourseAlex Jordan Hanson, Massachusetts Institute of Technology Alex Hanson is a PhD candidate in the Electrical Engineering and Computer Science department at MIT and a tutor in the Communication Lab. He earned the S.M. degree from MIT in 2016 and the B.E. degree from Dartmouth College in 2014.Dr. Peter Lindahl, Massachusetts Institute of Technology Dr. Peter Lindahl graduated with his Ph.D. in Engineering from Montana State University in 2013. He is currently a postdoctoral associate in the Research Laboratory of
, cognitiveapprenticeship in graduate school is negotiated in independent research, especially in smallersettings where a graduate student would work side-by-side in the laboratory with a facultyadvisor [9]. Cognitive apprenticeship has also been used as a theory in engineering to describehow instructors in a classroom setting might work to make their thinking visible [10] or toprepare new graduate students for future academic milestones during onboarding [11].Academic Literacies Theory: Academic literacies theory, proposed by Lea and Street [12] is agraduate-student specific theory of learning that proposes that in the process of becoming amember of a disciplinary community, literacy means more than just knowing how to read andwrite; instead, academic literacy
withdue to the large volumes of data generated. To perform analysis on large volumes of data andvariables, technologies such as intelligent systems, data mining, machine learning, among others,must be considered, transforming education data into a new observable form of information thatis more meaningful and useful [11].The variables most commonly used by Shahiri, Husain, and Rashid [12] to feed the predictivemodel applied to dropout and delayed graduation cases are variables related to studentperformance, such as cumulative average, tests, laboratory work, exams, and attendance. Theyalso use demographic variables such as age, sex, family history, and disability. Other authorshave used variables related to extracurricular activities, such as
outside of the classroom. She is fascinated with how people learn and develop in ways that enable them to thrive. Rebecca’s career began in environmental education and outreach to support natural resources management through experience at the Wisconsin Department of Natural Resources, and as a Peace Corps Volunteer. A keen interest in research and evaluation blossomed during her time as an academic editor and researcher at ETH Zurich, which led to her PhD research in Geneva, Switzerland, where she studied the effectiveness of a mobile science learning laboratory. In 2017, she joined the Wisconsin Evaluation Collaborative, UW-Madison, where she continues to support education programs through research and evaluation. By
they can develop the knowledge, skills, and relationships needed to be aresearch engineer. Another initiative seeks to develop a Research Engineer Network (REN) ofindividuals that will impart skills and mentoring to graduate students, that may not available to them fromtheir own major professor and her/his research group. The network will be composed of graduatestudents, select major professors, select faculty from R1 universities, and representatives from corporateresearch and federal research laboratories. The REN will have three tracks of activities: ResearchProgression Skills (REN-RPS), Research Networking Skills (REN-RNS), and Career Preview andPreparation (REN-CPP). Each track of activities will be offered in Fall and Spring. The REN
19 Laboratory Tours 3.47 19 Poster Session 3.47 19 Faculty Meetings 3.44 18Respondents were also asked to provide suggestions for improvement of the event activities.Feedback suggested categorized faculty presentations, more activities outside the building, andbetter attention to time constraints on visitors. Some representative comments include: “Although some students would like a breadth of background on research, most if not all have a major field (imaging, cellular engineering) that they would like to work in; so different, separate groups for each field would allow each presenter to
“Research 101,” was led by a graduate student lead for theprogram. The format was an oral presentation that discussed the following topics: How to conduct a scientific literature review Types of research questions and research methods Laboratory hierarchy and terminology (from undergraduates all the way up to PI) Culmination of research (journal publications, theses, presentations, etc.) Research Experiences for Undergraduates (REUs) sponsored by the National Science Foundation Other research programs at the University of Colorado BoulderThe third workshop, titled “Grad School 101,” was also led by a graduate student lead of theprogram. The format was an oral presentation that discussed the following topics
DevelopmentIn Fall 2007, the professional development (PD) received by all GTAs consisted of fourhours of training prior to the start of the semester. The full details of the training havebeen described by Zawojewski, Diefes-Dux and Bowman.12 Of particular interest to thispaper is that the GTAs spent some time solving the first MEA that they would implementin the laboratory setting. This included reading the MEA problem statement andanswering the individual questions. GTAs, working in teams of 3 or 4, came toconsensus on the three individual questions in a similar fashion to that of the first-yearengineering students. The faculty facilitator briefly went over their answers to thesequestions
experience and motive using student comments and survey data on perceptions of the Page 24.189.2course. Those who work in graduate teacher training and graduate student development may beinterested in this paper.IntroductionMany universities and colleges provide teacher training for graduate teaching assistants (GTAs).The GTAs play an important role as instructors, lecturers, laboratory and recitation teachers,graders, tutors, proctoring exams and grading homeworks. An Internet search on trainingmanuals or programs will bring up dozens of these teaching tools for GTAs, suggesting thatthere are a variety of methods and strategies to prepare graduate
sections of the course with a total of 34students enrolled. Of the 34 students, 24 were teaching a lecture, laboratory or recitation; and 10were non-teachers who were primarily responsible for grading, office hours and tutoringsessions. All of the students were required to do the peer observation assignment. There weresix female students and 28 male students. All of the students consented to participate in thestudy according to the university requirements from the Office of Research Protections. Of the34 students 23 were international students (4 female, 19 male). The international students camefrom a variety of countries including India, Turkey, Iran, Bangladesh, Iraq, South Korea,Ecuador, Venezuela and China. For some international students this
summary slides about writing mechanics in their own time, as theyfeel necessary. Writing mechanics is not included on the graded test, although students may opt Page 24.966.8to take a self-evaluation of 30 multiple-choice questions to determine if their skills in that areaneed more attention. The faculty members apply the summarized standards of the CGSC and thePurdue Online Writing Laboratory (OWL) APA guidelines to evaluate students’ writtenproducts, so the rules and principles for effective academic writing and writing mechanics areroutinely reinforced.Student understanding of these principles of effective academic writing taught during
Technologies Laboratory have addressed sus- tainability challenges in the fields of systems design, technology selection, manufacturing, and water.Mr. Adam B. Baker, University of Michigan Page 24.1238.1 c American Society for Engineering Education, 2014 The PhD Advising Relationship: Needs of Returning and Directing-Pathway StudentsI. IntroductionThough a majority of engineering PhD students begin their doctoral career shortly aftercompleting an undergraduate degree (and perhaps a Master’s), a significant minority of studentsare “returners,” students who pursue a PhD after
students in engineering education programs have typically been trained through ABET-accredited engineering programs. Despite ABET’s communication requirement, engineeringundergraduate students have limited opportunities to learn to write in their discipline [7]. Often,explicit writing instruction is limited to two courses: one in first-year writing, and one thatfocuses on engineering writing. The other writing engineering students do is integrated implicitlyin design and laboratory coursework. In these contexts, writing practices are often renderedinvisible as students are asked to fill forms, draw sketches, and incorporate appropriate equationsinto reports rather than write essays or reflections [6]. Instructors do not emphasize writingprocesses
a network of summer REU structural engineering programs. This effort has typically yielded one to two applicants per year. Prospective Student Campus Visits – This effort allows Lehigh University’s world- renowned structural engineering laboratory facilities to shine. Information Sessions (at top structural engineering firms across the country) – Students from surrounding universities were invited to attend the information session and meet with industry professionals. This initiative was completed at the start of the program, but has not continued due to low attendance at the events. While in theory this was an excellent mechanism to engage both industry representatives and prospective
and collection of surveys in person is eliminated. Since eachstudent can access the Internet at their own convenience, there are no restrictions with respect tothe time or location to reach students, in contrast to past studies in our program1 that used fixeddistribution and collection points. Additionally, online surveys allow geographically distantrespondents to be reached, increasing the population available to be surveyed. This is importantin graduate programs where it is not uncommon for students to leave for days or weeks to go toconferences or perform research in the field or distant laboratories and hence, making it difficultto reach out to these students if survey distribution were done in the traditional way. An onlinesurvey
years. The modal point on the distribution curve displaying length of employment against probability of making a useful contribution occurs at between seven and nine years of employment. Clearly, if the professional turn-over rate exceeds 10% to 15% per year, it will be most unlikely that the peak performance of the laboratory will ever be achieved.” 19 Thus, it is the sense of the National Collaborative Task Force that the experience and retention factors are critical in rebuilding the nation’s future strength in engineering for innovation. The experienced engineer-leaders who are about to retire in the workforce are a vital national engineering asset and corporate memory of U.S. technology. These retired
incollaborative research settings, especially at the graduate level. Graduate engineering studentsare immediately expected to assimilate into a laboratory group, usually an interdependent team,with varying degrees of guidance by faculty members. The group dynamics and the role of trustas graduate students learn to conduct collaborative research is underexplored, but may haveramifications for the way in which graduate programs are structured or in how graduate studentsare matched with potential research advisors.Other theories and research also seek to understand mechanisms by which experts innovate inprofessional settings, and many of these have been applied to engineering education. Theories ofdistributed cognition 20 have been employed to understand
preliminary study on supporting writing transfer in an introductory engineering laboratory course,” in 2016 Proc. ASEE.21. D. Brent, “Crossing boundaries: Co-op students relearning to write,” CCC, vol. 63, no. 4, pp. 558-592, June 2012.22. M.N. Cleary, “Flowing and freestyling: Learning from adult students about process knowledge transfer,” CCC, vol. 64, no. 4, June 2013.23. S. Conrad, et al., “Students writing for professional practice: A model for collaboration among faculty, practitioners and writing specialists,” in 2015 Proc. ASEE.24. J. A. Donnell, et al., “Why industry says that engineering graduates have poor communication skills: What the literature says,” in 2011 Proc. ASEE.25. A. Devitt, “Teaching critical genre awareness