AC 2012-3231: CHARACTERIZATION OF STUDENT MODELING IN ANINDUSTRIALLY SITUATED VIRTUAL LABORATORYErick Jacob Nefcy, Oregon State University Erick Nefcy is a doctoral student in the School of Chemical, Biological, and Environmental Engineering at Oregon State University. Through his undergraduate studies, he has held multiple internships at Intel Corporation. He is currently studying the growth of self-forming barrier layers in copper thin films, as well as investigating the student teams’ use of models during completion of the Chemical Vapor Deposition Virtual Laboratory project.Dr. Edith Stanley Gummer, Education NorthwestDr. Milo Koretsky, Oregon State University Milo Koretsky is a professor of chemical engineering
. Besterfield-Sacre’s current research focuses on three distinct but highly correlated areas pf innovative design, entrepreneurship, and modeling. She is an Associate Editor for the AEE Journal.Dr. Brian P. Self, California Polytechnic State University Brian P. 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. Self has taught in the Mechanical En- gineering Department at Cal Poly, San Luis Obispo, since 2006. During the 2011-2012 academic year, he participated in a professor exchange, teaching at the Munich University
Understanding of Research Practices and Career TrajectoriesAbstract The National Science Foundation and many other institutions support undergraduateresearch with an expected outcome of broadening participation in careers in science andengineering. Since 2008, the Illinois Institute of Technology has offered approximately 40students from across the U.S the opportunity to participate in a summer Biomedical EngineeringResearch Experience for Undergraduates (REU) program. The goal of this program is toimmerse undergraduates in biomedical engineering laboratories to conduct cutting-edge diabetesresearch in an effort to influence their long-term interests in science and engineering. Theprogram is also intended to inform the undergraduate students
include student learning in the areas of problem solving, engineering design, creative thinking, and spatial ability. Page 25.922.1 c American Society for Engineering Education, 2012 Measured Differences in Spatial Ability between a Face-To-Face and a Synchronous Distance Education Undergraduate Engineering Graphics CourseAbstractDistance education is growing at colleges and universities throughout the United States.Engineering graphics laboratory courses are unique in their focus on skills and design with anemphasis on a hands-on approach when
5 - 50 4 2-3 0-1 Num. of awardees 2,232 3,395 4,171 3,378First, regardless of levels of scholars’ engagement in collaboration, the following topics gainalmost the same extent of attention from scholars: course, curriculum, undergraduate,mathematics, and instruction. Second, there are many areas that show a clear tendency to onlyone or two groups. For example, projects related to laboratory, computer, technology, software,design, and equipment are more likely to be conducted by scholars with fewer collaborators. Onthe contrary, grants about graduate, IGERT, community colleges, nanotechnology, integrate,NUE, workforce, and
students’ grades.Reference list1 Heylen C., Smet M., Buelens H. and Vander Sloten, J., 2007, Problem Solving and Engineering Design, introducing bachelor students to engineering practice at K.U.Leuven. European Journal of Engineering Education, 2007, 32 (4), pages 375 – 386.2 Kuder, K. and Gnanapragasam, N., 2011, Implementing peer-reviews in civil engineering laboratories, Proceedings 118th ASEE Annual Conference & Exposition, 26th - 29th June 2011, Vancouver, Canada.3 Heylen, C., 2010, Problem Solving and Engineering Design: introducing bachelor students to engineering practice. 2010, Diss. Doct., ISBN 978-94-6018-237-2. (Available online: https://lirias.kuleuven.be/bitstream/123456789/270889/1
found that graduate student mentors who work closely withstudents on their projects served as “coping models” in developing undergraduates’ self-efficacyfor research and graduate school. Specifically, we reported that the REU program served as a“taste” of graduate school, and gave participants access to graduate students and professors whoserved as both role models and sources of information about academic and career options.Several factors contributed to their reported increased in self-efficacy for graduate school andresearch careers: their accomplishments in the laboratory, new knowledge about graduate schooland potential career options, and vicarious learning3 that took place over the summer via theirgraduate student mentors. In particular
101 covers some of the scientific andmathematical principles that underlie the operation of information technologies, and theengineering processes by which the technologies are created. In particular, ECE 101 showsstudents how engineers negotiate tradeoffs as they design devices to meet social needs. Intendedfor students outside the College of Engineering, ECE 101 meets the campus’s general educationrequirements in physical sciences and in quantitative reasoning.In each semester, the enrollment in ECE 101 ranges from forty to sixty students, mostlyfreshmen and sophomores. Each week, students in ECE 101 attend two 50-minute lectures taughtby the instructor and one two-hour laboratory session led by a graduate teaching assistant. In
overview of the course and guidelines, they immediately beganto discuss their goals and aspirations for the semester and wrestled with what activities theyshould pursue. For the first learning agreement, they decided to focus first on improving theirdesign skills and using professional engineering design tools. They completed laboratory andsimulation assignments well in advance of their peers, chose to study elective topics that gavethem multiple perspectives on the optimal design of circuits, and choose to complete anambitious design project (The course instructor said, “If they can complete that project, theycertainly don’t need me.”). The team connected well, met regularly, and remained on taskduring their scheduled meeting times
, 34(1), 61-84.6. Bucciarelli, L.L. (1994). Designing Engineers, Cambridge, Mass.: The MIT Press.7. Florman, S.L. (1994). Existential Pleasures of Engineering, New York, N.Y.: St. Martin’s Press.8. Lin, C.-C., & Tsai, C.-C. (2009). The relationship between students’ conceptions of learning engineering and their preferences for classroom and laboratory learning environments. Journal of Engineering Education, 98(2), 193-204.9. Stevens, R.,O’Connor, K., Garrison, L., Jocuns, A., & Amos, D.L. (2008). Becoming an engineer: Toward a three dimensional view of engineering learning. Journal of Engineering Education, 97(3), 355–68.10. Turns, J., Atman, C., Adams, R., & Barker, T. (2005). Research on engineering student
AC 2012-3131: DO STUDENTS DREAM BEYOND LEDS? INNOVATIVEQUALITIES OF IDEAS GENERATED BY FIRST-YEAR ENGINEERINGSTUDENTSNicholas D. Fila, Purdue University Nicholas D. Fila is a doctoral student and graduate research assistant in the School of Engineering Educa- tion at Purdue University. He received his B.S. and M.S. degrees in electrical and computer engineering from the University of Illinois. He has published conference papers on cooperative learning and team innovation. His research focuses on teamwork, innovation, and laboratory education.Dr. Senay Purzer, Purdue University, West Lafayette Senay Purzer is an Assistant Professor in the School of Engineering Education and is the Director of Assessment Research for
moredetail the ways in which writing supports learning. For example, recent work by Carter, Ferzli,and Wiebe has examined the ways in which writing in disciplinary courses in college helpsstudents develop a strong socialization into the practices and norms of the discipline, acting as ameans of enculturation [49]. Their study, in many ways, seeks to bridge the divide betweenlearning to write and writing-to-learn by identifying ways in which learning to write in aparticular discipline supports not only students’ ability to communicate in their chosen field, butalso supports their broader learning of that field. Their study of students in a biology lab suggeststhat the laboratory report, when framed in terms of a model of apprenticeship and
TUES program solicitation explicitlysupports such aims.The purpose of this analysis is to study NSF’s Transforming Undergraduate Education in STEM(TUES) program to understand the engineering education community’s views on transformationand change. TUES and its predecessor, Course, Curriculum and Laboratory Improvement(CCLI), have been an influential and substantial source of funding for U.S. undergraduate STEMeducation change since 199015. For example, CCLI’s emphasis on project evaluation, coupledwith outcomes-based assessment driven by ABET’s EC2000 criteria, is a strong example of howpolicy can influence practice in engineering higher education. This paper also informsprospective PIs of program expectations, provides baseline data for
complex problems that canbe solved by applying the desired content. Many of the modules that came out of VaNTH’sresearch and curriculum development endeavor3, 7, 12 exemplify this approach. For example,Linsenmeir et al. 11, challenged students to determine “how much food is needed by an astronautper day for a two week space mission in order to satisfy metabolic demands and not gain or loseweight” (p. 213). In this case, students that learned the content in the context of the challengingproblem were better able to apply the concepts to novel situations and more engaged than thosestudents that received more traditional instruction and laboratory activities. More broadly,students in classes that enact VaNTH’s engineering modules that contextualize
. Protection of the learner’s security and privacy was the concern is of the utmost importance.Additionally, one must consider issues of equity and the differences among learners that exist (e.g.,personality, learning styles, persons that struggle with depth-perception, hand-eye coordination) whendeveloping cyberlearning tools. It is also important to distinguish what content is better suited for ahuman instructor from what can be effectively taught using cyberlearning. Furthermore, now that so muchdata is not readily available using various cyberlearning mediums, teachers using such resources as part oftheir laboratories must ensure that their students are not losing an appreciation of the data collectionprocess. Additionally, one Program Officer
opportunities that allow students to apply theirengineering design learning. Classroom meetings are typically devoted to hands-on team-basedactivities, which range from product dissections to designing products for various speculativescenarios. In addition to these in-class activities, student teams work together out-of-class on asemester project wherein they design a novel consumer product. In addition, the ME studentswere enrolled in a hands-on laboratory course focused on manufacturing processes (welding,machining, casting, etc.).At the time of second data collection, in the second semester of participants’ sophomore year,neither group was enrolled in design-related courses. Both sets of students were involved inengineering science courses (e.g
first phases of the study (conducted during 2011),which addresses research questions one, two and four.1.1 Background of the Premier AwardThe Premier Award competition was instituted with two primary goals: to recognize and rewardthe efforts of faculty (and students) developing courseware and to provide an external measure ofthe quality of the courseware.14 The Premier Award was created as a program within theSynthesis Coalition, one of the NSF engineering education coalitions funded in the 1990’s,which focused on improving engineering education by designing, implementing and assessingapproaches to undergraduate engineering education that emphasized multidisciplinary synthesis,teamwork and communication, hands-on and laboratory experiences
laboratories.” Most engineering colleges also claimed to be leading institutions—leaders in innovation, discovery, and education.Creating and expanding knowledge, particularly through research, was emphasized by most ofthe universities. The vision of one college of engineering was “to produce new engineers as wellas discoveries and technologies focused on research to enhance the quality of life in the U.S. andbeyond,” while another college stated that it valued “knowledge creation and scholarship.”Although undergraduates are involved in research at many (if not all) of the universities includedin this study, none of the university websites specified if undergraduate students were expectedto participate in creating and expanding knowledge through
learning among diverse students: 1, 11 2) the stallingof innovation in STEM education:15 and 3) the wide-spread reliance on lecture and thereceive/memorize cognitive demand as the primary instructional strategy.12 Thusalternative faculty development models are needed.From a NSF Division of Undergraduate Education (DUE) perspective, facultydevelopment has been a key component in the Transforming Undergraduate Education inSTEM (TUES) and Course, Curriculum and Laboratory Improvement (CCLI) Programssince the Solicitation has a component calling for projects devoted to developing facultyexpertise. Further, with many of the proposals focused on the curriculum development,faculty workshops play a major role in the dissemination plan. For a number of
scheduled days. The courses selected for the study at the institution areidentified as i) a freshman design class teaching computer-aided design, ii) a sophomoreintroductory circuits laboratory, iii) a junior design class in controls and electronics, and iv) asenior capstone project class.On the day of the module delivery, the case study was first introduced to students through a shortpresentation by the instructor assigned to this role during which the one-page case study wasread aloud. It is also suggested to include a brief, relevant video clip of a key interview or newssegment on the subject to supplement the text. Whenever possible, contrasting viewpoints bydifferent stakeholders can also be expressed through the selection of video clips to
&M course," Physical Review Special Topics - Physics Education Research, vol. 5, 2009.[6] H. Ebbinghaus, Memory: A Contribution to Experimental Psychology (translated). New York: Columbia Teachers' College, 1913.[7] C. D. Bailey, "Forgetting and the Learning Curve: A Laboratory Study," Management Science, vol. 35, no. 3, pp. 340-352, 1989.[8] J.H. Block and P.W. Airasian, Mastery Learning: Theory and Practice.: Holt, Rinehart, and Winston, 1971.[9] R. M. Thorndike and T. Thorndike-Christ, "Qualities Desired in Any Measurement Procedure: Reliability," in Measurement and Evaluation in Psychology and Education, 8th Ed. Boston: Pearson, 2010, pp. 124-125.[10] H. F. O'Neil and J. Schacter, "Test Specifications for Problem-Solving
, Northwestern University Matthew R. Glucksberg is a professor of biomedical engineering at Northwestern University. His tech- nical expertise is in tissue mechanics, microcirculation, and optical instrumentation. His laboratory has developed image-based instrumentation to measure pressure and flow in the circulation of the eye, in- struments to measure the response of pulmonary alveolar epithelial cells to their immediate mechanical environment, and is currently involved in developing minimally invasive optical biosensors for monitoring glucose, lactate, and other measures of metabolic function. He is a Co-founder of Northwestern’s Global Healthcare Technologies Program in Cape Town South Africa and Co-director of an M.S
than the other two courses due to a clear “right answer” toboth homework and exam problems and general lack of open-ended assignments. On the otherhand, Chemistry and Physics can have problems that are more difficult to grade consistentlyacross sections, and laboratory courses leave a significant portion of the grade to the discretion oflaboratory instructors who may neither teach the corresponding lecture nor grade consistentlyacross sections. Beyond simply expressing institutional level effects on student performance, Padilla et al.note in their 2005 paper the importance of eliminating aggregation bias and misestimatedstandard errors that occur when researchers ignore the nested structures inherent in HLM.36 Thetreatment of HLM in
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
), 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