kind of laboratory work,” while Rebecca Brentspoke about her involvement with engineering teaching workshops: “I think [my contribution] is pretty much out there in the workshop work. … I think I work with people really well one-on-one. I think I have developed a lot of the materials that we use and brought in a lot of ideas. So I’m more of a behind the scenes person than an out there in front person.”Similarly, Michael Pavelich commented: “I hope [my contribution] is to have documented the importance of these learning taxonomies and to take them seriously and understand them fully, and then models of how to implement that kind of thinking in the classroom, and then finally ways of measurement that make sense or that really speak to
Department Head and in 2012 was elected Secretary of the Faculty through 2015. Prof. Sullivan has always maintained a full teaching load. He strongly supports the WPI project-based undergraduate philosophy.Glenn R. Gaudette, Worcester Polytechnic Institute Glenn R. Gaudette, PhD, is a Professor of Biomedical Engineering at Worcester Polytechnic Institute. His research, which is supported by the National Institutes of Health and the National Science Foundation, aims to develop a treatment for the millions of Americans suffering from myocardial infarction and other cardiovascular diseases. In May of 2012, he co-founded a company based on some of the pioneering technology developed in his laboratory. Prof. Gaudette also
Education.Hayes, J.R. & Flower, L.S. (1980). Identifying the organization of writing processes. In L.W. Gregg and E.R. Steinberg (Eds.), Cognitive Processes in Writing (pp. 4-30). Hillsdale, NJ: Erlbaum.Hunt, K. W. (1965). Grammatical structures written at three grade levels. National Council of Teachers of English Research Report No. 3. Washington, D.C.: Office of Education.Kluwe, R. H. (1982). Cognitive knowledge and executive control: Metacognition. In D. R. Griffin (Ed.), Animal mind -- human mind (pp. 201-224). New York: Springer-Verlag.Koretsky, M. & Kelly, C. (2011). Enhancement of student learning in experimental design using virtual laboratories—Year 3. Paper presented at the Annual Conference and
programs.Meanwhile, there are many lower ranked institutions for whom ABET accreditation isconsidered important, especially to their image and recruiting initiatives. While many admit thatparents rarely ask about accreditation, engineering accreditation is generally viewed as necessaryat all state institutions, and this regardless of rank. Minimum standards also serve a purpose atlower ranked institutions, since they often need to work to meet ABET’s requirements. In thiscontext, a shortcoming—ideally a concern, or at most an initial report of a weakness that can beaddressed before the final decision—can be instrumental for deans and department heads togarnering resources, such as faculty lines and better laboratory facilities, needed to
, why he wanted to be a BME major, and how he now believed he had amisconception of BME: They have a biochemistry degree at the school I'm at. I'm in biomedical engineering and I guess when I got into it I thought it was more like that laboratory track where you work under somebody helping them do their research or whatever. But I think now that I've seen about half of it, I can tell its hardcore engineering which I was not expecting it to be. (Derek)Derek now faced the conflict of having an ideal future possible career that was no longerconnected to his present tasks. He described the curriculum as being a major factor in his choiceand his feelings of being stuck in engineering: I really wanted
satisfaction with academic facilities, such as classroom and Facilities and Services laboratories, and services, such as academic advising. Overall Satisfaction with General satisfaction with the overall quality of the college experience. This Collegiate Experience question is asked at the end of the survey to obtain a Gestalt judgment response.A similar process was used to recruit students for the focus groups (i.e., invitation from theAssociate Dean and follow-up reminders). Each group lasted from 1 ½ to 2 hours and included Page 12.1162.8students from
of experiences infirst-year courses extend into the second year and beyond in engineering programs.AcknowledgementsThis paper is based on research supported by the National Science Foundation under Grant No.HRD# 0936704. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the authors and do not necessarily reflect the views of the National ScienceFoundation.References1. Cline, M. and G.J. Powers. Problem Based Learning via Open Ended Projects in Carnegie Mellon University's Chemical Engineering Undergraduate Laboratory. in Frontiers in Education. 1997. Pittsburgh, PA.2. Douglas, D.M., et al. Writing in the Engineering Design Lab: How Problem Based Learning Provides a
founding faculty member of the James Madison Uni- versity Department of Engineering. At JMU, Dr. Pierrakos is the Director of the Center for Innovation in Engineering Education (CIEE) and Director of the Advanced Thermal Fluids Laboratory. Her interests in engineering education research center around recruitment and retention, engineer identity, engineering design instruction and methodology, learning through service, problem based learning methodologies, assessment of student learning, as well as complex problem solving. Her other research interests lie in cardiovascular fluid mechanics, sustainability, and K-12 engineering outreach. Dr. Pierrakos is a 2009 NSF CAREER Awardee. Dr. Pierrakos holds a B.S. in Engineering
particularsection of Introduction to Engineering and one particular chemistry laboratory and lecturecombination. Between three and eight learning communities would be established each semester;more for the fall semester and fewer in the spring. Students would enroll in the learningcommunity after learning about these via email, word of mouth, or during summer orientationsessions. Although these learning communities involved different departments, it was truly alevel zero stage, as the intended use of the benefit was strictly for engineering students (refer toTable 1, Column B). Over time, some of the benefits of these learning communities had diffusedto other departments in science and mathematics, which led in 2007-2008 to increasing thenumbers and types
), which is a five-year program. For the four-year programs, the total credits required forgraduation range from 129 to 132; 160 credits are required for AE. The programs have scienceand math course sets that are aligned with accreditation requirements. The majority of theremaining credits are engineering science, both inside and outside of the major. All majorsexcept Computer Engineering have a first-year design course, in addition to the capstone designcourse. Chemical Engineering has the greatest number of laboratory courses at five. Theprograms have an emphasis on math, science, and engineering science with a focus on analysis.Thus, they are similar to the common model of U.S. programs described by Sheppard,Macatangay, Colby & Sullivan15
Institute for Chemical Engineers. He earned a B.S. degree in chemical engineering from Mississippi State University, and M.S. and Ph.D. degrees from the University of Tennessee. He has been a researcher at the Oak Ridge National Laboratory and faculty member at the University of Maryland, College Park.Prof. Leah H. Jamieson, Purdue University, West Lafayette Leah Jamieson is the John A. Edwardson Dean of Engineering at Purdue University, Ransburg Distin- guished Professor of electrical and computer engineering, and holds a courtesy appointment in Purdue’s School of Engineering Education. She served as 2007 President and CEO of the IEEE. She is co-recipient of the 2005 NAE Bernard M. Gordon Prize for Innovation in
program is toenable students to work on interdisciplinary engineering projects requiring an understanding ofelectrical and computer design and systems analysis. Over the course of three years in theprogram, students are required to complete coursework in both the SE and ECE departments,including two joint laboratory courses in the third year and a team-based, interdisciplinarycapstone project in the fourth year.Participants for this study were second-year engineering students within the SE and ECEdepartments. Data for this study was collected between October 2009 and March 2010, focusingon the first cohort of LEP students and their non-LEP counterparts. The first cohort to begin thisprogram started in the fall of 2009 with 14 students. Of those
University of Wisconsin - Madison, and a faculty fel- low at the Wisconsin Center for Education Research (WCER) and the Center on Education and Work. Dr. Nathan studies the cognitive, embodied, and social processes involved in STEM reasoning, learn- ing and teaching, especially in mathematics and engineering classrooms and in laboratory settings, using both quantitative and qualitative research methods. Dr. Nathan has secured over $20M in external re- search funds and has over 80 peer-reviewed publications in education and Learning Sciences research, as well as over 100 scholarly presentations to US and international audiences. He is Principal Investiga- tor or co-Principal Investigator of 5 active grants from NSF and the
) Page 22.1675.15 2005 2006 2007 2008 2009 Tag c Tag c Tag c Tag c Tag c assessment 114 simulation 77.5 concept 71.5 how people learn 53.5 survey 58 engagement 50 retention 74 knowledge 66 concept 51 discipline 53.5 laboratory 50 ethics 62 teamwork 55 active learning 44 teamwork 48.5 skill 48 survey 59 ethnography 53.7 design 39 women 47 experiment 47.5 model 48.5
period. The MEA was launched in the laboratory setting which was facilitated by twoGTAs supported by four undergraduate assistants. Student teams of 3-4 students developedDRAFT 1 of their memo with procedure and results. This draft entered a double-blind peerreview process. In preparation for the peer review, students participated in a calibration exercisein which they practiced giving feedback on one prototypical piece of student work using theMEA Rubric, were provided an expert‟s review of that student work, and reflected on what theyneeded to do differently to improve their ability to give a peer review. For the actual peerreview, each student reviewed one other team‟s solution to the MEA. Each team was assigned atleast 3 peer reviewers. Each
forth) and degree of development.From Fall 2002 to Spring 2009, MEAs were implemented by GTAs in the laboratory setting of arequired first-year engineering course at Purdue University. During this period, UGTAs were notinvolved in assessing student work on MEAs, though they did support classroomimplementation. However, in Fall 2009, UGTAs, serving as either peer teachers (classroominstructional team members and graders) or out-of-classroom graders, became equallyresponsible with the GTAs for providing feedback on and evaluating students’ MEA work. Thisrecent staffing change brings challenges to implementing open-ended engineering problems.UGTAs, particularly sophomores, have minimal academic, teaching, or professional experience,as compared to
(Entrepreneur, etc.) 5 (50%) 44 (33%) Government (Politician, Science Policy Advocate, etc.) 3 (30%) 16 (12%) Industry (Engineer/Research Scientist) 10 (100%) 114 (84%) Research Laboratory (Engineer/Research Scientist) 7 (70%) 67 (50%) Other (please specify) 0 (0%) 3 (2%) *Responses obtained from a survey sent to the 272 GSIs in the College of Engineering in Fall 2009 (~50% response rate)Since EGSMs are advanced doctoral students (many of whom have reached candidacy), whoalso have in-depth training and experience related to effective college teaching, consulting
) theyare required courses and (2) they are upper-level courses typically taken in the Junior or Senioryears. The instructors of these courses are free to select an assessment instrument (e.g., examquestion, homework question, project report, laboratory report, or presentation) for eachPerformance Indicator associated with their assigned SO. Based on the assessment instrumentchosen, the instructor develops a rubric for each Performance Indicator and selects PerformanceCriteria that are used to evaluate the students’ ability to meet that Performance Indicator. Theinstructor’s rubric generally follows a three-tiered approach for assessing the students’performance: “Developing”, “Satisfactory” and “Proficient.” The instructor may select a
2006-103: THE FACULTY PERSPECTIVE ON THE STATE OF COMPLEXSYSTEMS IN AMERICAN AND AUSTRALIAN MECHANICAL ENGINEERINGPROGRAMSNadia Kellam, University of South Carolina NADIA KELLAM is currently conducting research in the Laboratory for Sustainable Solutions while completing her Ph.D. in mechanical engineering. Her research interests include engineering education, sustainable design, and complex systems science. She is a recipient of the National Science Foundation’s Graduate Research Fellowship and institutional support from the University of South Carolina.Veronica Addison, University of South Carolina VERONICA ADDISON is a PhD Student in Mechanical Engineering conducting research in the
Engineering Sustainable Systems Program. He is Chief Science Officer of Fusion Coolant Systems. Professor Skerlos has gained national recognition and press for his research and teaching in the fields of technology policy and sustainable design. He has co-founded two successful start-up companies (Accuri Cytometers and Fusion Coolant Systems), co-founded BLUElab, served as Director of the Graduate Pro- gram in Mechanical Engineering (2009-2012), and served as associate and guest editor for four different academic journals. His Ph.D. students in the Environmental and Sustainable Technologies Laboratory have addressed sus- tainability challenges in the fields of systems design, technology selection, manufacturing, and water
Annual Conference, Montreal, Canada. https://peer.asee.org/11090* Cetin, A. (2012, 26-28 Sept. 2012). A 3d game based learning application in engineering education: Powering a recreational boat with renewable energy sources. Paper presented at the 2012 15th International Conference on Interactive Collaborative Learning (ICL), Villach, Austria.* Chaffin, A., Doran, K., Hicks, D., & Barnes, T. (2009). Experimental evaluation of teaching recursion in a video game. Paper presented at the Proceedings of the 2009 ACM SIGGRAPH Symposium on Video Games, New Orleans, Louisiana.* Chang, Y., Aziz, E.-S., Esche, S. K., & Chassapis, C. (2011). A game-based laboratory for gear design. Paper presented at the
data. Thequantitative data consists of posting statistics (days online, number of posts viewed, number ofcontributions), and results from the affective outcome survey. The survey used was a tailoredversion of the Duke University survey entitled “The Student Opinion about Calculus CoursesSurvey,” developed for the NSF sponsored Project CALC: Calculus as Laboratory Course18,26–28.Qualitative data consists of text-based forum posts and transcripts of audio-recorded one-on-onesemi-structured interviews with the participants.Figure 1. Mixed methods typology: Embedded, concurrent, equal emphasis design informed bytheory. Study Participants. Study participants included a subset of students enrolled in thetreatment calculus sections (Table 3
learning skills and behaviors.Dr. Brian P. Self, California Polytechnic State University, San Luis Obispo Brian Self obtained his B.S. and M.S. degrees in Engineering Mechanics from Virginia Tech, and his Ph.D. in Bioengineering from the University of Utah. He worked in the Air Force Research Laboratories before teaching at the U.S. Air Force Academy for seven years. Brian has taught in the Mechanical Engineering c American Society for Engineering Education, 2018 Paper ID #21724 Department at Cal Poly, San Luis Obispo since 2006. During the 2011-2012 academic year he participated in a professor