and universities; panel reviewer for US DOE GAANN Fellowships (2009, 2010), NSF EEP (2005-08), and S-STEM (2008). Her assessment findings and evaluative works are reported in IEEE, presented in ASEE and FIE conference proceedings, and acknowledged in Mixed-Nuts on several different projects. Dr. Lee- Thomas also presented her evaluative work as a key component in an award-winning NPR radio broadcast ”Sounds of Progress” on The Women In Science, Technology, Engineering and Mathematics ON THE AIR! as part of a NSF funded project with Norfolk State University’s College of Science, Engineering and Technology.Autar Kaw, University of South Florida Autar K Kaw is a Professor of Mechanical Engineering and Jerome
-existing ideas may very well be an approach that can enthuse studentsto attain the goal of becoming future scientists, technologists, engineers, and mathematicians.i This material is based upon work supported by the Learning through Engineering Design and Practice, NationalScience Foundation Award# 0737616, Division of Research on Learning in Formal and Informal Settings, under Page 22.1238.2Information Technology Experiences for Students and Teachers (ITEST) Youth-based Project. Opinions, findings,conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflectthe views of the
drawings on paper or whiteboard, but also might include screenshots or photos of partially developed sketches/prototypes. There should be several! 4. Choice rationale: Provide a rationale for your choice of the design idea(s) that you converged on for prototyping. That is, given the set of ideas that you considered, why did you choose these ideas for further development? 5. Novelty: Is it novel? If not novel, how does it differ from what currently exists, and how is it better? 6. Appropriate to user needs: Make sure to indicate how this design meets the key goal(s) that you Page 22.1631.3
Stefanou et al.’s framework, student autonomycan be promoted at three different levels: organizational, procedural, and cognitive. These threelevels include varying degree of student choice: organizational autonomy takes into account theenvironment (e.g., due dates), procedural autonomy incorporates form (e.g., deliverable form),and cognitive autonomy involves content (e.g., designing projects). This range of possible SDLexperiences allows for a wide interpretation of the role and value of SDL and student autonomyby both students and faculty. Using methods of grounded theory, three research questions wereaddressed: (a) How do the pedagogical practices in the first-year mathematics, physics, andengineering classes fit into Stefanou et al.’s
director of the undergraduate program in computer engineering at MSU. She also served as interim department chair in the Department of Electrical and Computer Engineering from 2000 to 2001. She was a research staff member in the Scalable Computing Laboratory at the Ames Laboratory under a U.S-D.O.E. Postdoctoral Fellowship from 1989 to 1991. Her teaching and research has focused on the areas of embedded computer systems, reconfigurable hardware, integrated program development and performance environments for parallel and distributed systems, visualization, performance monitoring and evaluation, and engineering education. She currently serves as principal investigator for NSF STEP and S-STEM grants in the college. Dr
class titled “ENGR 1510Intensive Hands-on, Interactive Fluid Flow & Heat Transport” was focused on developingstudents’ intuition using videos, hands-on activities, lectures and discussions. It was made opento all engineering majors because a lot of engineering classes contain elements of FMHT, and thegrading policy adopted was a pass/fail (S/U) with course participation taking 50% of theweighting and the remaining 50% equally distributed between the class exercises and finalexamination.Given the context of this class, the researchers deemed it fit to ask questions in the form: Can thelearning in this class be deemed significant enough to prepare the students’ cognitively andaffectively for more learning? Also, given the pass/fail grading
process, and supporting transfer students at theuniversity.Transfer students at the Ira A. Fulton School of Engineering at Arizona State Universityare supported by a Motivated Engineering Transfer Student (METS) Center wherestudents can network, study, socialize, and receive informal mentoring. In addition,transfer students can enroll in an Academic Success Class for one credit and attendadditional workshops which are held in the Center. Scholarship for over 30 qualifiedtransfer students are provided each year through an NSF S-STEM Scholarship Program.An experimental scholarship program, for transfer students who do not qualify for NSFS-STEM scholarships, was also evaluated. An emphasis in this project was placed oninvolving women and
designer’s usual way of thinking and the type(s) of thinkingrequired to resolve a given Problem A. For example, a designer whose capacity for sketchingis low might learn some basic drawing techniques to help bridge this (level) gap. Or, adesigner who tends to think tangentially may need to apply techniques that help him/her to“stay focused” (a different style) in order to solve a particular problem. Once again, werecognize the need for a systematic way to characterize design techniques, so the appropriatechoices can be made; we turn now to our development of such a classification scheme.3. A Cognition-Based Classification Scheme for Design TechniquesBased on the Cognition-Based Design (CBD) framework described briefly above, we havedeveloped a
, mesh, and solve. Within about an hour, anyone who is familiar withMicrosoft Windows and understands the component description of a force can learn how to dothis for a diverse range of shapes and loadings. And the graphical portrayal of input and outputquantities makes it easy to detect many user errors. But what are educators doing to incorporatethis ubiquitous, increasingly inexpensive tool into basic engineering classes?The practice of embedding or integrating FEA into freshman design courses seems to have madean appearance in the 1990‟s, coincident with the movement to develop integrated freshmancurricula that include or emphasize design. Barr et al. (1998; 2005)1,2 describe their work toinclude FEA as part of a larger focus on solid
a secondary student’s design-based project(s) – an often important aspect of anundergraduate Introduction to Engineering Course.Currently, a student’s transcript is the most widely applied and utilized model for representing astudent’s learning and practice of STEM concepts. The transcript provides a series of one-dimensional, snapshots (grades) aggregated as a Grade Point Average – GPA, and is sometimessupplemented with other data such as SAT® or ACT® scores. The assessment process that ismost often used to generate a transcript grade is the administration of multiple-choice tests,inferences from which have, for the past century, been central to the definition of competency.Given the potential richness and complexity of evidence of
), 339.2. Heller, R. S., Beil, C., Dam, K., & Haerum, B. (2010). Student and Faculty Perceptions of Engagement in Engineering. Journal of Engineering Education, 99(3), 253-261.3. Lin, C., & Tsai, C. (2009). The relationship between students' conceptions of learning engineering and their preferences for classroom and laboratory learning environments. Journal of Engineering Education, 98, 193- 204.4. Prince, M
teaching continues todevelop.AcknowledgmentsSupport for this work was provided by the National Science Foundation through theUTeachEngineering: Training Secondary Teachers to Deliver Design-Based EngineeringInstruction award (DUE-0831811) and the CAREER: Advancing Adaptive Expertise inEngineering Education award (EEC-0748186). The opinions expressed in this paper are those ofthe authors and do not necessarily represent those of the Foundation.References Page 22.1612.161. Martin, T., Petrosino, A., Rivale, S., Diller, K. (2006). The development of adaptive expertise in biotransport. New Directions in Teaching and Learning 108
; Exposition, Annual Conference, 2004.4 Flemming, L., Engerman, K., and Williams, D. ―Why Students Leave Engineering: the Unexpected Bond,‖Proceedings of the 2006 American Society for Engineering Education Conference& Exposition, Annual Conference,2006.5 Fortenberry, N., Sullivan, J., Jordan, P., and Knight, D., ―Engineering Education Research Aids Instruction,‖Science, Vol. 317, 2007.6 Ohland, M., Sheppard, S., Lichtenstein, G., Eris, O., Chachra, D., and Layton, R., ―Persistence, Engagement, andMigration in Engineering Programs,‖ Journal of Engineering Education, July 2008.7 Seymour, E., and Hewitt, N., Talking About Leaving: Why Undergraduates Leave the Sciences, Westview Press,Boulder, CO, 20008 Zhang, G., Min,YK., Ohland, M., and
author(s) and donot necessarily reflect the views of the National Science Foundation (NSF). Page 22.208.2This paper has materials that will appear in: Ganesh, T. G. (in press). Children-produced drawings: aninterpretive and analytic tool for researchers. In E. Margolis & L. Pauwels, (Eds.). The Sage Handbook ofVisual Research Methods. London, UK: Sage. The author thanks Sage for the use of these materials.Review of the LiteratureThe use of children-produced drawings in research is not new. Margaret Mead used subject-produced drawings as contemporary responses by the public to events that represented rapidtechnological change after
at the top. The four dots denote vertically aligned, equally spaced points along the member. other forces Assuming the other forces stay the same, what load(s) could replace the 60 Nm 60 Nm couple and maintain equilibrium? 2m Mark all possible answers. other other other other other other forces forces forces forces forces forces 10 N 30 N
inclass suggest that other dynamics such as culture and family upbringing 24 may mitigate theirobservations of bias. This study begins to address the issues of climate in engineering forwomen of all races and ethnicities. Examination of other dimensions of diversity, particularlyclass and culture, may provide further insight into the mechanisms that enable women of certainracial/ethnic groups to persist despite being in an environment that singles them out for theirunderrepresented status.Bibliography1 Malcolm, S. M. (1976). The double bind: The price of being a minority woman in science. Washington, DC: Page 22.953.10 American
Labor, Bureau of Labor Statistics. Occupational Outlook Quarterly. 2009th ed.Government Printing Office; 2009.3. Kalwarski T, Mosher D, Paskin J, Rosato D. 50 Best Jobs In America. Money. 2006;35(5).4. Best Jobs in America. Money. 2010;39(11).5. Zweben S. Computing Degree and Enrollment Trends. 2010.6. Denning PJ. The field of programmers myth. Commun. ACM. 2004;47(7):15–20.7. Margolis J, Fisher A. Unlocking the Clubhouse: Women in Computing. MIT Press; 2003.8. Felleisen M, Findler RB, Flatt M, Krishnamurthi S. The DrScheme project: an overview.SIGPLAN Not. 1998;33:17–23.9. Allen E, Cartwright R, Stoler B. DrJava: a lightweight pedagogic environment for Java. In:ACM SIGCSE Bulletin. SIGCSE '02. New York, NY, USA: ACM; 2002:137–141.10. Barnes DJ
, findings, conclusions, orrecommendations expressed in this material are those of the author(s) and do notnecessarily reflect the views of the NSF.References1. Feisel, L.D. and A.J. Rosa, The Role of the Laboratory in Undergraduate Engineering Education. Journal of Engineering Education, 2005. 94(1): p. 121-130.2. Richard L. Clark, J., et al., Work in Progress - Transitioning Lab-in-a-Box (LiaB) to the Community College Setting in 39th ASEE/IEEE Frontiers in Education Conference. 2009: San Antonio, T. Page 22.1630.123. Millard, D., Workshop - Improving Student Engagement and Intuition with the Mobile Studio
complexity of this PDLlearning context and the fact that it seeks to develop skills rather than highly specifiedknowledge, we have attempted to collect various kinds of data to determine how well we aredoing in fostering an interdisciplinary perspective and disposition. Assessment of studentlearning takes several forms. • Facilitator observation and evaluation: Each team of eight has a faculty or post-doc facilitator that observes and facilitates the team for three hours each week. In these sessions they can observe and assess each student’s behaviors as s/he interacts with, helps in the problem solving, works to develop knowledge and contributes through individual research to the process team. The assessment scoring
. Section 3 presents the development of the seminar and theworkshop (Tablet Faculty Learning Community). The seminar was presented in April of 2010and the workshop/faculty learning community was conducted over a 10 week period during thesummer semester of 2010. Section 4 discusses the authors’ experiences presenting the seminarand leading the workshop. Some conclusions and future direction are discussed in section 5.2. Background InformationA tablet PC is a laptop or notebook that has a screen capable of pen based input. Interest in thepotential use of tablet PCs as an educational tool began in earnest in the early 2000’s. Aspointed out by Joel Backon, “Tablet PCs merge the productivity improvement afforded by PCtechnology with the fundamental
predictors of success in an engineering design course. Proceedings of the National Conference on Women in Mathematics and the Sciences, St. Cloud, MN, 133-136.4. Blasko, D. G., Holliday-Darr, K, Mace, D., & Blasko-Drabik, H. (2004). VIZ: The visualization assessment and training website Behavior Research Methods Instruments & Computers. 36:25. Sorby, S. A. (2009). Educational Research in Developing 3-D Spatial Skills for Engineering Students. International Journal of Science Education, 31:3, 459-480.6. Blasko, D.G. & Holliday-Darr, K. (2010). Longitudinal Analysis of Spatial Skills Training in Engineering Graphics. Proceedings of the Engineering Design Graphics Division of ASEE 65th Mid-year
Professional Nursing, 75(3), 132-139.8. Bull, K. S., Kimball, S. L., & Stansberry, S. (1998). Developing interaction in computer-mediated learning.Education Resources Information Center (ERIC), ED417902. Retrieved December 31, 2010 fromhttp://eric.ed.gov/PDFS/ED417902.pdf9. Mabrito, M. (2006). A study of synchronous versus asynchronous collaboration in an online business writingclass. The American Journal of Distance Education, 20(2), 93–107.10. Gumport, P.J. (1993). Graduate education and organized research in the United States. In Cark, B.R. (Ed.) TheResearch Foundations of Graduate Education: Germany, Britain, France, United States, Japan. (pp. 225-260).Berkeley, CA: University of California Press11. Gumport, P.J. (1993). Graduate education and
. Page 22.1563.2 Figure 1: Sanders’ map of design research5,6, with the “Design-Led / Research-Led” axis and the “Expert Mindset / ParticipatoryMindset” axis.Mosborg et al.’s studied the conceptions of design of practicing engineers8 by surveying andinterviewing 19 advanced practicing professionals from a range of engineering disciplines(mechanical, electrical, civil, industrial, materials science, systems engineers) about theirconception of design and design processes. In this study, the researchers asked the engineers to“create a picture or representation of what you think the process of design is.” They also askedthe practicing engineers to rate the six most and least important skills from a list of 23 skills.Finally, they asked the
Page 22.502.12 2010.7. H. Arslan. “A Wireless Communication Systems Laboratory Course.” Proceedings of the 2nd International Conference on Engineering Education & Training, April 9-11, 2007, Kuwait.8. C. B. Dietrich, F. E. Kragh, S. M. Hasan, C. Aguayo Gonzalez, A. A. Adenariwo, H. I. Volos, C. C. Dietrich, D. L. Miller, J. Snyder, S. H. Edwards, J. H. Reed. “Implementation and Evaluation of Laboratory/Tutorial Exercises for Software Defined Radio Education.” Proceedings of the 2010 ASEE Southeast Section Conference, 2010.9. H. Arslan. “Teaching SDR through a laboratory based course with modern measurement and test instruments.” Proceedings of the SDR Forum Technical Conference, November 2007.10. S. Bilen. “Implementing
budgets, a strategyadopted by many universities is to increase the minimum student enrolment required for aclass to be offered. While the new minimum enrolment numbers aid in reducing operatingcosts and assists with balancing the budget, they may negatively impact a student‟s educationopportunities because senior level specialized courses will be cancelled due to minimum classenrollment requirements or will only be offered sporadically. This paper describes howutilization of existing academic cooperation nationally and internationally, and the use oftechnology could allow universities to offer such courses while reducing operating expense.Many institutions have built extensive partnerships for student and faculty exchanges orresearch
currently being developed to enhanceundergraduate curricula to meet the industrial needs for engineers with education in lean. Thepurpose of the research is to address these expectations by developing learning modules thatincorporate lean simulation models into various Engineering Management, IndustrialEngineering, and Mechanical Engineering courses at Missouri S&T, Texas Tech, and SouthDakota State, respectively. In recent years, increasing global competition, rapidly changingtechnology, and a deficit of U.S. engineering graduates have intensified the need to producegraduating engineers who are effective problem solvers and analytical thinkers, yet who can alsocollaborate on interdisciplinary teams to address complex, real-world systems. A key
through the use of LEGO-based engineering robotics. The motivation forthis study was derived from Schunn‟s work but is different in that the measurement ofproportional reasoning was purposefully planned and included a sample size of thirty students,including a control group.Norton (2006) used a LEGO-robotics context to investigate the mathematics learning of 46seventh grade students. He found that (a) the LEGO-robotics activities afforded learningopportunities that also reinforced social relationships, (b) explicit scaffolding was needed bysome students to achieve the mathematics learning, and (c) many students were able todemonstrate greater than expected mathematics and science learning. The assessmentinstruments used by Norton included a
Engineering Management (MEM) degree. This degree was popularamong students of Civil and Environmental Engineering. Alumni with this degree have reportedsatisfaction with the content of their education and enjoy successful careers. However since fewof the other college of engineering programs embraced the degree, the degree was terminated inthe late 1990’s. At this point, the department created an Engineering Management Option withinour program by securing an agreement with the College of Business to provide two MBAcourses that could be taken by our students. These two courses provided finance andmanagement instruction to engineering students but did not require prerequisites normal to otherMBA curricula. Ensuing retirements and budgetary issues
observation by the remote users. Page 22.26.83. Assessment Tool DevelopmentThe assessment data was collected using the quiz feature within the Desire2Learn coursemanagement system, which allowed auto grading of the survey and multiple choice questions.Online quizzes were given after exercises 3-9 to collect information on the student understandingof the learning outcomes. The following table gives the topic and order of the 11 laboratoryexercises conducted. The table shows, for each lab session, the assessment tool used and thetargeted outcome(s) measured [7]. Table 1. List of laboratory experiments, targeted outcomes, and assessment tools used
and Oreowicz11 that engineeringgraduates, in particular Ph.D.’s, need to know how to teach for both academic and industrialcareers, and that ideally education in pedagogy occurs during graduate school. The paper goeson to point out that taking a pedagogy course and serving a teaching internship during graduateschool closely parallels the procedures used to prepare graduate students to do research. Wankatand Oreowicz12 observe that engineering students have proven to be very reluctant to takecourses from the College of Education. Students in engineering do not subscribe in significantnumbers. Perception is that content as not relevant to engineering instruction and instruction isdone in manner outside the comfort zone of engineering students