Education, Jun. 2020. [Online]. Available: https://peer.asee.org/34764[3] R. Fry, B. Kennedy, and C. Funk, “STEM Jobs See Uneven Progress in Increasing Gender, Racial and Ethnic Diversity: Higher Education Pipeline Suggests Long Path Ahead for Increasing Diversity, Especially in Fields Like Computing and Engineering,” Pew Research Center, Apr. 2021. [Online]. Available: https://www.pewresearch.org/science/wp- content/uploads/sites/16/2021/03/PS_2021.04.01_diversity-in-STEM_REPORT.pdf[4] A. Peng, J. Menold, and S. R. Miller, “Nature Versus Nurture: the Influence of Classroom Creative Climate on Risk-Taking Preferences of Engineering Students,” in Volume 4: 20th International Conference on Design Education (DEC
● Reread or rewrite notes or class material ● Perform note recall by recalling sections of notes and concepts as a form of review ● Summarize chapter, section of notes or textbook Understand ● Using flashcards or quizzes to test your understanding of key theories or concepts ● Explaining a problem or concepts to a classmate(s) (in a study session, at office hours, in class, Piazza, discussion board, etc.) ● Solving practice problems with guidance and support from notes and examples Apply ● Represent a concept or problem in a different form (graphically, equation, diagrams, explanation, verbally
AC 2011-2054: SIGNIFICANT FACTORS IN SUCCESSFULLY MATCH-ING STUDENTS TO BIOMEDICAL ENGINEERING RESEARCH LABO-RATORIESJonathan Sanghoon Lee, University of Virginia Jonathan S. Lee is currently an undergraduate in Biomedical Engineering at the University of Virginia.Mr. Shing Wai YamWilliam H Guilford, University of Virginia Will Guilford is an Associate Professor of Biomedical Engineering at the University of Virginia, and the current Undergraduate Program Director. He received his B.S. in Biology and Chemistry from St. Francis College in Ft. Wayne, Indiana and his Ph.D. in Physiology from the University of Arizona. Will did his postdoctoral training in Molecular Biophysics at the University of Vermont under David
D L P W F Student M Installed Orifice(s) S D Expansion tank Mount pumps in the same horizontal plane Figure 1: Pump and Pipe System Schematic The system schematic shows the
the new measure of GTA‟s need assessment can be used as a reliable and valid toolacross institutions.IntroductionConcerns about recruitment and retention of students in engineering disciplines have resulted innumerous calls for reform in engineering education[1-3]. Regardless of the chosen response tosuch calls, it is clear that quality education requires the presence of instructors who have learnedto teach effectively. Unfortunately, because we often rely on “on-the-job” training, facultybecome skilled at teaching after receiving their doctoral degrees and “practicing” on students.For this reason, institutions commonly establish teaching effectiveness centers dedicated tofaculty development. Moreover, and of greater concern to us, much
advanced and efficient design methods, theywill be trained to see the need to implement and promote technological changes at their work placethroughout their careers as a lifelong practice. Page 22.511.9References:[1] VHDL International, “VHDL International University Usage Survey,” VHDL International, Santa Clara, CA, 1995.[2] S. Palnitlear, Verilog HDL. Englewood Cliffs, NJ: Prentice-Hall, 1996.[3] Fundamentals of Digital Logic with Verilog Design By Stephen Brown, Zvonko Vranesic, Published 2002 McGraw-Hill Professional[4] S. M. Sait, “Integrating UAHPL-DA systems with VLSI design tools to support VLSI DA courses,” IEEE Trans. Educ
education. Journal of Engineering Education,309-318.4. Halpern, D.F., Benbow, C.P., Geary, D.C., Gur, R.C., Hyde, J.S., & Gernsbacher, M.A. (2007). The science of sex differences in science and mathematics. Psychological Science in the Public Interest. 8(1), 1-51.5. Walters, A.M., & Brown, L.M. (2005). The role of ethnicity on the gender-gap in mathematics. In A.M. Gallagher & J.C. Kaufman (Eds.), Gender differences in mathematics: An integrative psychological approach (pp. 207-219). New York: Cambridge University Press.6. Catsambis, S. (1995). Gender, race, ethnicity, and science education in the middle grades. Journal of Research in Science Teaching, 32, 243-257.7. Margolis, J. & Fisher, A. (2002
Interesting 7.5 Very Interesting 10 Innovative Page 22.705.4Quality (in terms of technical feasibility)The technical feasibility of the concepts is measured using a quality metric developed by Shah et mal.32-33 Quality is measured as M qual = ∑ f j S qj , where m is the number of features in the design, j =1fj is the weight assigned for feature j, and Sqj is the quality score given for feature j. To calculatean average quality score, fj can be replaced with 1/m. Sqj is evaluated by one of the
offavorite heuristics. For example, “assume the solution is known and try to determine whatproperties it might have” is a commonly used heuristic in many fields (e.g., physics, engineering,etc.)Beginning in the 1970’s, Schoenfeld began teaching mathematical problem solving, and hestarted observing and videotaping students while they struggled to solve different mathematicalproblems. Schoenfeld identified four different components to successful mathematical problemsolving performance3-6, and they are: 1. resources – the mathematical facts and procedures possessed by the problem solver 2. heuristics – problem solving strategies or techniques, 3. control – ability to select and implement the proper resources and strategies, and 4. belief
could not be done unless a retention agreement wasestablished with other Committee on Institutional Cooperation (CIC) schools. This campuspolicy is in line with the Ithaka S+R recommendations: “What to Withdraw? Print CollectionsManagement in the Wake of Digitization.4” For our project, however, this policy meant that printmaterials we would have considered withdrawing must be maintained somewhere on campus.In our library, the only weeding criteria located consisted of general guidelines on what to sendto the now full storage facilities. Because weeding policies did not exist, we developed initialguidelines that we continued to modify as the project progressed and new reports becameavailable. From the beginning, our guiding principles were to
Postgraduate School Stephanie Enck is a research assistant at the Naval Postgraduate School’s Systems Engineering Depart- ment. She has a Bachelor of Science in Communication, sales and marketing management experience, and volunteered to assist Army families for several years before joining the SE department at NPS. Her research interests and project coordination efforts include M&S education, project management, and SE education. Page 22.461.1 c American Society for Engineering Education, 2011Developing Systems Engineering Graduate Programs Aligned to the Body of Knowledge and
junior and senior year engineering courses emphasize applications from the food andagricultural disciplines.In the late 1980’s, the traditional agricultural engineering program at North Carolina StateUniversity was experiencing declining enrollment. The department began a series of curriculumchanges to better address the changing needs of our clientele. The initial objective of thecurriculum changes was to enable students to select courses to show a concentration in an area ofagricultural engineering. The initial concentration areas included: biological, environmental/soiland water, food, and power and machinery. Under this curriculum, students selected six coursesfrom an approved list for each concentration area.In 1994, the state legislature
that you think undergraduates should be prepared for at the outset of their professional careers.Over ninety CoE alumni or alumnae responded to the email. The survey was not intended to be ascientific instrument. The organizers could determine the age, gender and engineering majorthrough alumni records, but elected not to do so. However, approximately one-half of therespondents did list their majors and years of graduation. All engineering majors wererepresented: chemical (7%), civil (32%) electrical/computer (27%) and mechanical (34%). Theyears of graduation ranged from the 1940’s to the 2000’s. The 1950’s, 1960’s, 1980’s and1990’s were the most prevalent years.Most of the respondents did not address the two questions directly
consists of a question and actual student response from a recentTransport Phenomena 1 final exam (the student was a junior):Gasoline is being pumped 17 miles through nominal 3-inch, schedule-40 steel pipe at arate of 9500 gal/hr. What horsepower will be required if the pump’s efficiency is about75%? ≠ M/ τ The average velocity in the pipe: > V ≅? ρR 2 4571856 therefore, > V ≅? 2 ? 8.9 x107 ft/s. ρ (0.1278) d >V ≅ τ
theory. An exampleis given by permission [4]. This student also used supercritical airfoil sections for the sweptwings. Problem statement, from Acierno [4] The drag of the equivalent body of revolution can be computed using Von Karman’s formula: (3.1) Where S(x) is the function describing the equivalent body of revolution in terms of normal cross-sectional area vs. location along the x axis. S can be derived from the oblique cross sections obtained by the intersection of Mach planes with the wing-body combination through (3.2) Where s is defined as the area intersected by the oblique Mach planes. As detailed in reference 5, S’(x
engineeringnotebook can be used as a reference on their test(s). The notebooks are the common 9-3/4" x 7-1/2", 80 – 100 page composition books carried by office supply store chains for about $2.50.Students typically paste a subset of lecture slides, reference tables, classroom examples, andstudent-developed decision trees in the notebooks. An advantage of the journal entry format isthat students may take ownership of the format and express difficult concepts through alternatetypologies. Figure 5 above, for example, demonstrates a very linear or analytical format,whereas students display information from a more conceptual framework. In addition, the course incorporates on-line spreadsheet templates for normal probabilityplots; continuous variables
example of such a recruiting video can be seen on our nonprofitYouTube channel: http://www.youtube.com/watch?v=Wq545270FDASCHOOL TYPE (X AXIS) VS. API (Y AXIS)D i me nsi o n of th e do t = T ea ch e r t o S tu de n t r at i o Page 15.501.5 Figure 1 The scatter plot compares schools by type – elementary (red), charter (green), continuation (blue), high(magenta) and middle (yellow). The user can identify high and low performing schools by looking at the position of the schools on the y-axis (API).Parent Involvement: Engaged Adults and Sustained CommitmentNumerous studies have established the link between parent
Engineering Education 94(1), 131-146.4. Dickrell, D. (2012). “Applying Distance Education Technologies to a Large-Scale Engineering Mechanics Course,” 119th American Society for Engineering Education Annual Conference Proceedings (San Antonio), session T518.5. Krute, L. (2012). “Distance Education Partnerships,” 119th American Society for Engineering Education Annual Conference Proceedings, session M614.6. Long, J.M., Joordens, M.A. and Littlefair, G. (2014). “Engineering Distance Education At Deakin University Australia,” to be presented at the IACEE 14th World Conference for Continuing Engineering Education, Stanford University, 24-27 June.7. Palmer, S, and Bray, S.L (2002). “On- and off-campus Student Persistence and Academic
higher education both in Australia andabroad.Bibliography[1] R. Barnett, G. Parry and K. Coate, “Conceptualising Curriculum Change”, Teaching in Higher Education, vol. 6, no. 4, pp. 435-449, 2001.[2] O. Hicks, “Curriculum in higher education in Australia – Hello?”, in Enhancing Higher Education, Theory and Scholarship, Proceedings of the 30th HERDSA Annual Conference [CD-ROM], Adelaide, 8-11 July, 2007.[3] R. S. Adams and R. M. Felder, “Reframing Professional Development: A systems Approach to Preparing Engineering Education to Educate Tomorrow's Engineers”, Journal of Engineering Education, vol. 97, no. 3, pp. 239-240, 2008.[4] K. Charmaz, “Grounded Theory”, Rethinking Methods in Psychology, J. A. Smith
for Engineering Education” S t u d e n t fa m ilia r ity w ith fa c u lty 40 35 FY1999 N =34 FY2000 N =26 FY2001 N =28 percent of students 30 A v e ra g e 25 20 15 10 5 0 0 1 2 3 4 >4 n u m b e r o f fa c u ltyFigure 2. Student familiarity with faculty after one year in the AE LC.Increased retention. Retention
solving process itself using problem space theory and how to use data miningto help us understand both the states and the transitions in the problem space.AcknowledgementsThis work was supported in part by the National Science Foundation under grant EEC-0230700.Bibliography[1] Berardi-Coletta, B., Dominowski, R. L., Buyer, L. S., & Rellinger, E. R. (1995). Metacognition and problem solving: A process-oriented approach. Journal of Experimental Psychology: Learning, Memory, and Cognition, 21, 205-223.[2] Bjork, R. A. (1999). Assessing our own competence: Heuristics and illusions. In D. Gopher & A. Koriat (Eds.) Attention and performance XVII, Cognitive regulation of performance: Interaction of theory and
X Flexible Link ( t."E."I, L ) w*x ,t+ x Y0 Y s*t+ O X0 v Rigid Hub ( Ih ) Figure 1: Schematic representation of the flexible manipulator system.A schematic representation of the manipulator is shown in Figure 1, where X o OYo and XOYrepresent the stationary and moving co-ordinate frames respectively. The axis OX coincideswith the neutral line of the link in its undeformed configuration, and is tangent to
class, thus transferring the knowledge gained and his experiences to the other students. Inthe future, we expect to see similar experiences among the undergraduate students. It isanticipated that continuing documentation and tracking of student experiences will assist in thedevelopment and expansion of the PORTAL data archiving system. Some of these plans includethe hope to archive transit system and city traffic signal data from transportation agency partnersin the Portland metropolitan region.Bibliography 1. Variaya, P. (1997) How to measure transportation system performance. http://www.path.berleley.edu/~variaya/papers_ps.dir/TSperf.pdf 2. Turner, S. (2001) Guidelines for Developing ITS Data Archiving Systems. Report 2127-3. FHWA
for Engineering Educationthis paper describes AMIS and the software that operates and controls its major components.The paper also presents test results that clearly demonstrate the capabilities of the system.System HardwareThe prototype consists of a Sony DCR-PC1 MiniDV handycam. The Sony DCR-PC1 has thefollowing specifications: • Imaging Device: Single ¼” CCD 680k Pixels • Lens: 10x, variable 35mm – 420mm • Shutter Speed: 1/60 – 1/4000 • DV In/Out (IEEE 1394 interface) • S-Video Out • Power Consumption: 3.4 W/4.5W.Our prototype configuration, like the airborne remote sensing system at Ohio State University orthe digital camera system at the University of Calgary, required data to be recorded and post-processed
(American National Standards Institute). 1996. ANSI/ISO14000 Series Standards: Environmental Management Systems – Specification with Guidance for Use. Milwaukee, WI: American Society for Quality Control.[4] Armstrong, R. J. et al.1970. The Development and Evaluation of Behavioral Objectives. Worthington, Ohio: Charles A. Jones Publishers.[5] Barrow, D., and Fulling, S. “Using an Integrated Engineering Curriculum to Improve Freshman Calculus,” Proceedings of 1998 ASEE Annual Conference, 1998.[6] Beets, S. D. and Souther, C. C. “Corporate Environmental Reports: The Need for Standards and an Environmental Assurance Service.” Accounting Horizons, 13 (June 1999): 129-45.[7] Bloom, B. S. 1956. Taxonomy of Educational
additional designations describe non-design-related activity (project management and project delivery). Concept System-Level Detailed Design Design Design Problem Definition C/PD S/PD D/PD Idea Generation C/IG S/IG D/IG Engineering Analysis C/EA S/EA D/EA Design Refinement C/DR S/DR D/DR Project Management PM Delivery RW, PP
the student’s GPA. If youruniversity does not have a policy, we recommend that courses taken overseas be counted aspass/fail, but not incorporated into the GPA. (If a student fails, but believes s/he should havepassed, for example, in the case of a student not having enough time to complete an exam due tolanguage difficulties or a misunderstanding of the course expectations, we recommend offeringthat the student take an exam at home that would allow him/her to demonstrate knowledgelearned.)III. Logistics(This section, which addresses logistics, and the next section, which addresses culturalpreparation, are important to all study abroad students, not only those in engineering. However,it is the experience of the authors that quite a few
Best Practices in Design Team Readiness Assessment Proceedings of the 2002 American Society for Engineering Education Annual Conference & Exposition Copyright © 2002, American Society for Engineering Education Session # 3425BIBLIOGRAPHY1. M. Valenti, Teaching Tomorrow’s Engineers, ASME Magazine, July 1996.2. Engineering Accreditation Commission, Engineering Criteria 2000, Accreditation Board forEngineering and Technology, Inc., Baltimore, MD, 2001.3. W. Duncan-Hewitt, D. Mount, S. Beyerlein, D. Elger, and J. Steciak, ‘Creating DesignExperiences for Beginning Engineering Students According to Developmental Principles
Accountability of Algorithms,” J Bus Ethics, vol. 160, no. 4, pp. 835–850, Dec. 2019, doi: 10.1007/s10551-018-3921-3.[5] S. Newell and M. Marabelli, “Strategic Opportunities (and Challenges) of Algorithmic Decision-Making: A Call for Action on the Long-Term Societal Effects of ‘Datification,’” SSRN Journal, 2015, doi: 10.2139/ssrn.2644093.[6] S. Faraj, S. Pachidi, and K. Sayegh, “Working and organizing in the age of the learning algorithm,” Information and Organization, vol. 28, no. 1, pp. 62–70, Mar. 2018, doi: 10.1016/j.infoandorg.2018.02.005.[7] P. Singh, “Beyond the basics: Exploring the impact of social media marketing enablers on business success,” Heliyon, vol. 10, no. 5, p. e26435, Mar. 2024, doi: 10.1016/j.heliyon
competitions-The benefits and challenges," inAmerican Society of Engineering Education AnnualConference & Exposition, Chicago, Illinois, June 18-21 2006, pp. 11.1155.1 - 11.1155.11.[2] S. Kulturel-Konak, "Overview of Student Innovation Competitions and Their Roles in STEM Education," in2021 Fall ASEE Middle AtlanticSection Meeting, 2021. [Online]. Available:https://peer.asee.org/38445.[3] S. Kulturel-Konak, A. Konak, K. Mehta, and D. R. Schneider, "Fostering Innovation Mindset through Student Innovation Competitions and Programs," presented at the ASEE Zone 1 Conference, University Park, PA, March 30-April 1, 2023.[4