=110_cong_bills&docid=f:h6enr.txt.pdf; Or, at http://www.oe.energy.gov/smartgrid.htm33. M. Kezunovic, V. Vittal, S. Melitopoulos and T. Mount, “The big picture”, IEEE Power Energy Mag. Vol. 10(4), 2012, pp. 22-34.4. O. Zinaman, M. Miller, A. Adil, D. Arent et al., “Power Systems of the Future”, The Electricity Journal, Vol. 28(2), 2015, pp. 113-126. G. T. Heydt, S. S. Venkata, G. A. Gross, and P. W. Sauer, “Promoting the Power Engineering Profession through the IEEE Power Engineering Society”, IEEE Power Engineering Review, January 2000, pp. 17-21.5. P. Sauer, E. O’Neill, A. Pahwa, B. Malahowski, Y. Makarov, G. Rodriguez, R. Brush, J. Estey, I. Barras, “Model power engineering curriculum for the 21st century”, IEEE
smaller design teams of 3-6 students per team. The divisions are led bystudents and typically begin with each project team reporting on their progress, the issues theyencountered during the week and their goals for the coming week. A leadership structure isdesigned with a student project manager in charge of the overall division with design leaders foreach project team. The majority of the class time is spent working with the advisor(s) and TAswith individual teams. In 2019-20 there were 40 divisions and over 1100 students enrolled overthe academic year.Students are required to keep electronic design notebooks using Microsoft’s OneNote as theprimary repository for their work. They are required to document their weekly work andaccomplishments as
• Requires access to • 3Doodler.com• Lightweight power • scribbler3dpen.com• Various color options • Takes practice • OfficialRainbowGirl.com• Durable and long- • Device can jam lasting• Affordable• ConvenientCitationsBada, S. O., & Olusegun, S. (2015). Constructivism learning theory: A paradigm for teaching and learning. Journal of Research & Method in Education, 5(6), 66-70. Balletti, C., Ballarin, M., & Guerra, F. (2017). 3D printing: State of the art and future perspectives. Journal of Cultural Heritage, 26, 172-182.n.d. (2020). The engineering design process
, dynamic vibration absorbers are frequently implemented with ahydraulic or frictional component in order to transform kinetic energy of vibration into heat.Figure 2 shows the frequency response s of the main mass m1 as a function of normalizedfrequency, i.e., the driving frequency divided by the resonance frequency (ω/ωc) of thedamped primary system. The blue curve shows the displacement of the primary systemwithout absorber. The red curve represents the response function of the main mass after thetuned dynamic absorber (m2 ≈ 0.14 m1) has been attached. Two new resonance frequencieshave been created, located above and below the original resonance frequency. Figure 2: Primary mass displacement (blue: without absorber, red: with absorber)The
administration as a Mathematician and Computer Systems Analyst for the U. S. Department of Energy as well as more than 25 years of experience teaching mathematics, statistics, computer science, and freshman engineering courses in higher education institutions. Currently, she leads a team of faculty who are dedicated to providing first year engineering students with a high- quality, challenging, and engaging educational experience with the necessary advising, mentoring, and academic support to facilitate their transition to university life and to prepare them for success in their engineering discipline majors and future careers. c American Society for Engineering Education, 2020How Do Student
second modification to the alterative assessment scheme is the integration of more evaluationsessions throughout the semester (e.g., category three), which will allow students to know theiracademic standing in the course early in the course. For this particular accommodation, the authorsare planning to include a thorough evaluation session regarding the comprehension of lecturematerial and assignments for each student. As such, the integration of these two modifications willbe implemented and evaluated in subsequent semesters.REFERENCES[1] Balaji, N., Murthy, P., Kumar, D., Chaudhury, S. Perceived stress, anxiety, and coping statesin medical and engineering students during examinations. Industrial Psychiatry Journal. Jan-Jun2019, Vol. 28 Issue 1
faculty react to, adapt to, andaccommodate those challenges, often in the words of the respective researchers themselves. Thisreport then concludes with possible recommendations for academic libraries, and researchuniversity campuses with an AE presence.BackgroundIn 2019, librarians at the Georgia Institute of Technology (Georgia Tech) conducted interviewswith faculty in the institute’s School of Aerospace Engineering to examine practices of academicresearch faculty with regards to the data used and produced in the course of their research. Thiswork built on a project conducted in 2017-18, when librarians at Georgia Tech joined withlibrarians at 10 other research institutions, coordinated by Ithaka S+R, in order to examine thebroader research
Experiences for Undergraduates Program: Experiences and Recommendations,” Teach. Psychol., vol. 31, no. 4, 2004.[3] “The Program – International Research Experience for Undergraduates.” [Online]. Available: https://reu.chem.ufl.edu/the-program/. [Accessed: 03-Feb-2020].[4] D. R. Economy, J. P. Martin, and M. S. Kennedy, “Factors influencing participants’ selection of individual REU sites,” in Proceedings - Frontiers in Education Conference, FIE, 2013, pp. 1257–1259.[5] M. West, W. Cross, S. Kellogg, and A. Boysen, “A novel REU program to develop the skills of the engineer of 2020,” in Proceedings - Frontiers in Education Conference, FIE, 2011.[6] J. Straub, J. Berk, A. Nervold, and D. Whalen
identity. Cambridge university press, 1998.[12] A. W. Chickering and L. Reisser, Education and Identity. The Jossey-Bass Higher and Adult Education Series. ERIC, 1993.[13] P. M. King and K. S. Kitchener, "Reflective judgment: Theory and research on the development of epistemic assumptions through adulthood," Educational psychologist, vol. 39, no. 1, pp. 5-18, 2004.[14] P. M. King and K. S. Kitchener, Developing Reflective Judgment: Understanding and Promoting Intellectual Growth and Critical Thinking in Adolescents and Adults. Jossey- Bass Higher and Adult Education Series and Jossey-Bass Social and Behavioral Science Series. ERIC, 1994.[15] A. Johri and B. M. Olds, Cambridge handbook of engineering
, D. Kotys-Schwartz, and B. Louie, “Comparing Mentor and Mentee Perspectives in a Research-Based Undergraduate Mentoring Program,” no. November, p. 229, 2013. [3] N. Islam and A. A. Weimer, “Outcomes of the Student Mentoring and Research Training (SMART) Program,” no. 1, p. V005T07A028, 2019. [4] B. Pelleg, K. Imhoff, K. Ayers, and P. Boettcher, “Utilization of an Engineering Peer Tutoring Centre for Undergraduate Students,” 2016. [5] S. Lehr, H. Liu, S. Klinglesmith, A. Konyha, N. Robaszewska, and J. Medinilla, “Use educational data mining to predict undergraduate retention,” Proc. - IEEE 16th Int. Conf. Adv. Learn. Technol. ICALT 2016, no. 1, pp. 428–430, 2016. [6] Y. Min, G. Zhang, R. A. Long, T
categories suggests there are many areas of opportunity toengage students. The next step in this research is to expand the analysis to include additionalsemesters, include non-common questions which have similar classifications, examine non-academic factors (e.g., level of class participation) which may also impact performance, and toultimately develop intervening protocols to improve the overall performance of all students.References[1] Demel, J., “Bringing About Marked Increases In Freshman Engineering Retention,” Proceedings of the 2002FIE Annual Conference, Montreal, Canada.,2002.[2] Choate, L. H., and Smith, S. L.,”Enhancing development in 1st‐year college student success courses: Aholistic approach,” The Journal of Humanistic Counseling
between the two, the process is essentially temporally based andlinear, though some redundancy is often built into the communication. Table 6 identifies the keytasks in order of completion as gleaned from the above Instructional Analysis. Table 6. Key tasks to be utilized in crafting written performance objectives for students. 1 Identify Prospective Speaker(s); 2 Contact Speaker(s) and Confirm; 3 Identify preliminary material needs and any speaker requirements; 4 Make necessary logistical arrangements; 5 Hosting the speaking event; 6 Post engagement follow-up.Based on the key tasks in Table 6, specific, measurable student performance objectives werearticulated
participate in on-campus activities focusing on their major. Aninterdisciplinary faculty team from mechanical engineering, civil and environmental engineering,biomedical engineering, and electrical and computer engineering created a Scholarship Programfor Undergraduate Retention and Success (SPURS) with the support of NSF’s S-STEMinitiative. The proposed program consists of an integrated approach to increase the number andgraduation rate of undergraduate students who enroll in the College of Engineering.KeywordsScholarship program, professional development, mentoring.This is an extended abstract.OverviewThe University of Texas at San Antonio (UTSA) is a Minority Serving Institution and has seenrapid growth in the last 10 years; however, student
aid students in acquiring practical engineeringskills. This fact can be seen not only in the increase of success rates but also the overwhelmingpositive responses of student perception. Further assessment work will need in order tounderstand the role of student enrollment background as well as math placement to aid inenhancing the effectiveness of this course.References1 Beichner, R., J. Saul, R. Allain, D. Deardorff, and D. Abbot, “Introduction to SCALE-UP: Student- Centered Activities for Large Enrollment University Physics,” presented at the Annual meeting for the American Society for Engineering Education, St. Louis, MS, 2000.2 Ingram, B., M. Jesse, S. Fleagle, J. Florman, and S. Van Horne, Cases on Higher
, and D. Abbot, “Introduction to SCALE-UP: Student- Centered Activities for Large Enrollment University Physics,” presented at the Annual meeting for the American Society for Engineering Education, St. Louis, MS, 2000.2 Ingram, B., M. Jesse, S. Fleagle, J. Florman, and S. Van Horne, Cases on Higher Education Spaces: Innovation, Collaboration, and Technology, IGI Global, Hershey, PA, 2013, pg. 165-185.3 Ewing, D., “Using the SCALE-UP Method to Create an Engineering First Year Engineering Course”, submitted for presentation at the 2017 annual conference of the ASEE Gulf-Southwest Section. Proceedings of the 2017 ASEE Gulf-Southwest Section Annual Conference
devices. Therefore, eachproposed topic was coded as either a Device or Non-Device. Then each topic was codedaccording to the most applicable BMES track(s). When the Device code was applied, a thirdcode was applied using the 14 subtracks for the Device Technologies and Biomedical Robotics(DTBR).Table 3. Biomedical Engineering Society’s (BMES’s) 2019 Annual Meeting paper tracksused in coding scheme Track No. of Subtracks Bioinformatics, Computational and Systems Biology 13 Biomanufacturing 11 Biomaterials 12 Biomechanics 23 Biomedical Imaging
to $5B 5/27/03 3/25 and Afghanistan 6.1, 5.6 1,000 100’s 1,000’s 2,000 3/27/2002 1/26/01 India 7.7 20,085 166,836 - 1,122,000 1/13/01 El Salvador 7.7 852 4,723 - over 258,226 11/12/99 Turkey 7.1 894 4,948 - extensive 9/20/99 Taiwan 7.5 2,400 8,700 600,000 82,000, $14B 8/17/99 Turkey 7.4 17,118 50,000 500,000 $6.5B 1/25/99 Colombia 6.2 1,885 4,750 250,000 60% New 7/17/98
2003 2004 2005 2006During the 80’s women’s percentage increased on an average from less than 10% to more than 20 % atAalborg University, which was established in 1974 as a problem-based and project-based university.During the 90
present some of the empirical observationshere: 1. Inherent Social Constraints: The Jordanian women were affected with all the inherited social constraints that may deviate their thinking from getting involved in certain activities. Some of these activities do not welcome women. For instance, attitude tests in the 1970’s demonstrated that social implications and social responsibility issues have a significant effect on girls’ choices, but little on boys’1. This is in spite of the fact that studies indicated that men and women are attracted to the engineering profession for similar reasons, including ability in mathematics and science, career opportunities, challenge, and good salary prospects. 2. Cultural
“innovativeness”. Themeaning of these terms is rarely (one might even venture to say “if ever”) defined ahead of time,leading us to wonder: exactly what expectations are the students being asked to meet with regardto creativity, and what rubric(s) are their instructors using to assess them? Without a betterframework for defining creativity (in design and elsewhere), instructors cannot evaluate theirstudents accurately and objectively or guide them towards improved performance.Sorting Things Out: Problem Solving and the Distinction between Level and StyleTo help resolve this dilemma, we turn to Kirton’s Adaption-Innovation (A-I) theory12, a well-established branch of problem solving theory that offers rigorous definitions and cleardistinctions between
]. However, NSF has had only limited success in reaching deeply within all elements of theUS population and across the diversity of institutions of higher education.Although the overall percentage of STEM workers compared to the general employed populationincreased from 4.4% in 1983 to a high of 5.6% in 2001 [4] and the STEM labor force grew fasterthan the general workforce in the second half of the 20th century [5], approximately one quarterof Science and Engineering (S & E) degree recipients and 40% of those with Ph.D. degrees in S& E fields are approaching retirement age [5]. As the overall number of STEM jobs is expectedto increase over the next five years [5], it is imperative to recruit and retain enough students inthe STEM fields to
feedback from the students was the need of longer laboratory hours, even withthe addition of evening hours. They indicated that most of the technology in thelaboratories was not available in their schools. Parents were extremely happy about theoutcome and demanded a second program at a higher level. Students presented theirdesigns to a group composed from the families, the authors, the undergraduate assistant.The program was concluded with a cook-out where the families and staff of the differentinstitute programs socialized. The students were presented with certificates. In all, higherexpectations with quality instruction and ample resources yielded higher results.References[1] http:// www.edtrust.org[2] James, D. W., Jurich, S. and Estes, S
correlation (Table 4) can be extracted, although there are overlaps: Page 11.1184.4 Table 4. Mapping of capstone design course goals into ABET & ASME Outcomes ABET Capstone Design Course Goal/s Description Outcome # That Map/s into Outcome d Ability to function on multidisciplinary teams. 5 An understanding of professional and ethical f
27 29 29Modal score(s) 23 (6) 27, 30, 31 (3) 29, 31 (3) 27 (5) 27 (5) 32 (5)Midrange 29 27 28 31 28.5 28Between the pre-test and the post-test, the mean score for 2005 increased by 1.8 points (or 3.6%),compared to 3.6 points (7.2%) for the 2004 cohort. The median score increased by 1 point,compared to 2 points in 2004. The modal score was lower than two of the 2004 modal scores.Overall, the pre-test and post-test scores were higher in 2005 than in 2004, but they showed lessimprovement.Considering individual students’ changes in test scores, fifteen of the twenty-four students (or62.5%) in 2005 improved their scores on the
hardlims(x) = 4 5+1, x 2 0Thus the input of the single neuron is an R x 1 matrix p, and its final output is a scalar a =hardlims(Wp + b), depending upon whether the result n = Wp + b is positive or negative.A neural network can contain multiple neurons. Each neuron receives the same input vector, p,but produces a separate output. A network of S neurons has S outputs and can be represented ina manner similar to the single neuron network shown in figure 1. However, the weights are nowthe rows of a weight matrix W of size S x R. Accordingly, b, n, and a become column vectors oflength S, or S x 1 matrices. Thus, for an S neuron neural network with input p, we obtain Soutputs, which are contained in the S x 1 matrix
. Page 12.1237.1© American Society for Engineering Education, 2007 Remotely Accessible Laboratory for Rapid PrototypingAbstractThe Rapid Prototyping (RP) Laboratory1 was established in Fall 2003 and funded by theNational Science Foundation DUE 0311586 grant and Tennessee Tech University (TTU)matching support. Since this time, almost 500 high school students and student(s) studyingcomputer aided design/computer numerical control have practiced with RP technology. In orderto further extend a remote access capability to this current laboratory and let more engineeringand technology students learn this technology via online materials, a new NSF grant wasawarded in Summer 20062. Since this time, the remote RP laboratory development has
Page 12.1256.2sequences (stretches) of the same digit(s), say, 1, the overall sequence might be random though.Long sequences of the same digits, even though generated by a random process would reduce thelocal randomness of a sample. That is, a sample could only be globally random for sequences of,say, 100,000 digits while it might not appear at all random when a sequence of less than 500digits is considered. Usually in a statistical environment, the numeric sequence need to be a large one (30 or moreentries) before we could talk about whether the sequence is random or not. For example, in atossing of a coin denoting a head by 1 and a tail by 0, if we get 15 0’s successively, can we saythat the coin is biased statistically? The answer is no
age where largeamounts of data are being collected with a growing need for those that can make “data-drivendecisions” [3]. McKinsey Global Institute, a business and economic research firm, claims thatwith the growth of digital data, the United States is going to need an additional 140,000 to190,000 analysts and more than 1.5 million managers capable of performing data analysis [4].Additional calls have been made for more statisticians in the federal system, working in placessuch as the Bureau of Labor Statistics or the United States Census Bureau [5].These pleas are not new, however; even in the early 1980’s authors were writing about the needto make the field of statistics as a separate discipline [6] and recognizing the growing need
G. Hackett, Toward a Unifying Social Cognitive Theory of Career and Page 23.621.18 Academic Interest, Choice, and Performance. Journal of Vocational Behavior, 1994. 45(1): p. 79-122.7. NAE, The Engineer of 2020: Visions of Engineering in the New Century. 2004, Washington, DC: National Academies Press. xv, 101 p.8. Bankel, J., K.F. Berggren, K. Blom, E.F. Crawley, I. Wiklund, and S. Ostlund, The CDIO syllabus: A comparative study of expected student proficiency. . European Journal of Engineering Education, 2003. 28(3): p. 297-317.9. Lattuca, L.R., P.T. Terenzini, and J.F. Volkwein, A study of the
“Revolution Postponed” is a critical analysis and review of the Human Genome Project. In thisarticle, published in Scientific American, author Stephen S. Hall compares the current progressof the endeavor to its projected outcome and discusses its future potential. The overall sentimentof the article is that the extensive amount of research and resources applied to the project hasproduced too few valuable results. Page 23.636.4When the Human Genome Project commenced in 2000, many anticipated that it would transformmedicine and essentially lead to the cure of most human diseases within ten years. That ten yearwindow has closed, and while the project has