that girls were not interested in long lectures.They were, however, very interested in hands-on activities and being able to communicate andbond with the female college students. It was also found that girls were most interested inspeakers who talked about their profession in the context of how it makes the world a betterplace, how it enhances the quality of their family life and how they manage family and work.Parents were very interested in opportunities available for their child to explore STEM fields,financial considerations for college, and the parent role in their child’s STEM education.Months prior to the event, the lead from SPAWAR Systems Center Pacific would meet with thestudent organization(s) from the hosting university (e.g. San
% Average B1 B2 B3 B4 B5 B6 B7 B8Figure 6. Comparison of stages for the VBioR teamsFigure 7 shows the proportion of words spoken in the DMM by person, including the coach andall three students. All of the VBioR teams had three students. There is variation from team toteam according to team preparation and prior knowledge, team dynamics and the team’sinteraction with the coach. For example, in team B4’s coaching session only two of the studentstalked during the meeting and the coach spoke more than 80% of the words. By comparison,with team B2 the coach spoke much less, around 60% of the words, while the three studentsspoke more substantial amounts of 10% to 15% each. 100% 90% 80% 70% 60
inward Preference to focus on the present, the The preference we use Sensing (S) details, and personal to take in information knowledge Sensing (S) or and determine the Intuition (N) Preference to focus on kind of information we prefer to trust the future, the big
stakeholders’ social interaction and software productivity from an SIF perspective.Dr. Nan Niu, Mississippi State University Nan Niu is an Assistant Professor of Computer Science and Engineering at Mississippi State University. He received his Ph.D. in Computer Science in 2009 from the University of Toronto, where he specialized in requirements engineering for software product lines. His current research interests include informa- tion seeking in software engineering, requirements engineering, program comprehension, and software engineering education. He is a member of ASEE and a senior member of IEEE.Dr. Donna Reese, Mississippi State University Donna S. Reese received her BS from Louisiana Tech University and her MS and
usto reallocate staff resources from grading to providing walk-in clinic hours to serving studentswho did have difficulties.A typical year's operation saw over 122,000 problems graded automatically – not including theadditional grading resulting from student retries. We attempted to keep the entire class on asingle schedule of due dates, but this imposed significant swings in the load on the autogradingsystem. Fortunately our system administrators were able to deploy adequate server power tohandle our size class. Nevertheless, system performance requires careful attention in courseswhere significant resources are needed for autograding.Lessons learned from the first version of the course – limitations of the original formatMaple T.A.'s grading
0.250 1.284 0.076 *** Family arranged for science tutoring 0.643 1.903 0.190 ***Predictors Father – Engineer -0.507 0.602 0.181 *** Mother – Engineer - - - n/s Sibling – Engineer 0.798 2.222 0.142 *** Other relative – Engineer 0.456 1.578 0.094 *** Mother/female guardian contributed to career
a National Science Foundation Scholarships inScience, Technology, Engineering, and Mathematics (S-STEM) grant, the program involves acollaboration among STEM faculty, college staff, administrators, student organizations, andpartners in industry, four-year institutions, local high schools, and professional organizations. Inaddition to providing financial support through the scholarships, student access to academiccapital is increased through an intensive math review program, tutoring, study groups,supplemental instruction, and research internship opportunities. Access to cultural and socialcapital is increased by providing scholars with faculty mentors; engaging students with STEMfaculty, university researchers, and industry professionals
topic of free-body diagrams (Week 4 and Week 5), and (4) in-class individual and pair work on creating free body diagrams (Week 4).Our primary research focus is to investigate under what conditions (e.g., student background andinterests, prior experience, course content) do variation in the substance and style of web-basedexercises during the introductory course in mechanics impact student self-efficacy andachievement? Is there variability among our observed variables? Furthermore, can we removeredundancy or duplication from our set of correlated variables? Thus we used Factor Analysis topotentially identify latent independent variable(s) associated with the Self-Efficacy Confidenceand Difficulty measures in Figure 4. We will explore how
tura tura tura ion trac -Struc i -S truc i -S truc Relat e d Abs P re Un Mul t end Ext Figure 1. Variations in CEE seniors’ sustainability knowledge (n = 63). Page 24.583.11Table 3. Examples of student sustainability definitions
Page 24.209.1 c American Society for Engineering Education, 2014 Assessing the Role of 21st Century Skills on Internship Performance OutcomesAbstract Internships prepare students for the workplace by giving them opportunities to develop relevantskills. The Committee on the Assessment of 21st Century Skills of the U. S. National Research Council(NRC), the operating arm of the National Academy of Sciences (NAS), has been developing definitionsof workplace skills enabling individuals to face 21st Century challenges. In 2010 the Committeedefined three categories of skills underpinning a broad range of jobs: cognitive, interpersonal, andintrapersonal. The goal of this paper is
. King, C. J. Restructuring engineering education: Why, how and when? Journal of Engineering Education 101, 1–5 (2012).5. Engineering and Social Justice: In the University and Beyond. (Purdue University Press, 2011).6. National Center for Education Statistics. Table 205. Total fall enrollment in degree-granting institutions, by level and control of institution, attendance status, and sex of student: Selected years, 1970 through 2010. Digest of Education Statistics (2011). at 7. Malcom, L. E. in Understanding community colleges (Levin, J. S. & Kater, S. T.) 19–35 (Routledge, 2013).8. National Science Foundation. Table 4-3. S&E and S&E technologies associate’s degrees awarded, by sex, citizenship, race
mixed-mode (MPI-OpenMP) parallel implementation, including performance and scalability studies, carried out inour 16-node, 64 processor cluster.Based on the prime factor decomposition of the signal length this algorithm, which is based on ablock diagonal factorization of the circulant matrices, breaks a one-dimensional cyclicconvolution into shorter cyclic sub-convolutions. The subsections can be processed,independently, either in serial or parallel mode. The only requirement is that the signal length, N,admits at least an integer, r0, as a factor; N = r0.s. The Argawal-Cooley Cyclic Convolutionalgorithm, has a similar capability but requires that the signal length can be factored intomutually prime factors; N = r0.s with (r0,s) = 1. Since the
support, and customer service management. His interests include solid modeling applications, virtual and augmented reality, visualization techniques, innovative teaching methods, and distance learning. c American Society for Engineering Education, 2014 Information Visualization for Product Lifecycle Management (PLM) DataAbstractEnabling users to explore the vast volumes of data from different groups is one of productlifecycle management (PLM)’s goals. PLM must solve such problems as isolated “Islands ofData” and “Island of Automation”; the massive data flow of distanced collaborative design,manufacturing, and management; and the incapability of interpreting and
sin π x Sa ( x) = Sinc(x ) = x πx S inc( x ) = Sa ( π x ) rect ( x) = 1 if x ≤ 1 2; = 0 otherwise Re {a + jb} = a (a + jb)∗ = (a − jb) 3d : aib = ax bx + a y by + az bz 2d : a ib = ax bx + a y by u = uu ∗ j = −1
people interact with their environmentand how they can be enabled by the environment to undertake highly complex tasks thatwould usually be beyond the abilities of the unassisted individuals”32. Vygotsky firstexamined activity theory in the 1930’s. Later, Hutchins and many others have contributed Page 24.1222.5to research in distributed cognition32-38. Additionally, there have been studiesinvestigating why computers enhance student learning and results indicated that taskengagement increases at conceptual levels, student self-regulation increases, andexploration is encouraged35. There is also research to support that peers and socialinteractions are
). Digital Omnivores, Social Media and Social Capital: Expatriatesinteractions using Smartphones in Stockholm (Doctoral dissertation, Södertörn University).Li, D., & Segal, B. (2012). The Changing Landscape of The Canadian Mobile Audience.International Journal of Mobile Marketing, 7(1).Allen, I. E., & Seaman, J. (2008). Staying the course. Babson Survey Research Group: TheSloan Consortium.Balaji, M. S., & Chakrabarti, D. (2010). Student interactions in online discussion forum:Empirical research from ‘media richness theory’perspective. Journal of Interactive OnlineLearning, 9(1), 1-22.Beck, R. J. (2010). Teaching international law as a partially online course: The hybrid/blendedapproach to pedagogy. International Studies Perspectives, 11
-based Learning Curriculum in Microelectronics Engineering”, 14th IEEEInternational Conference on Parallel and Distributes Systems, 2008[3] K. Smith, S. Sheppard, D. Johnson, and R. Johnson, “Pedagogies of Engagement: Classroom-Based Practices,”Journal of Engineering Education, Vol. 94, No. 1, 2005, pp. 87-102.[4] B. A. Karanian, L. G. Chedid, M. Lande, G. Monaghan, “Work in Progress - Behavioral Aspects of StudentEngineering Design Experiences” in Proceedings of the 38th ASEE/IEEE Frontiers in Education Conference, NY,October 22 – 25, 2008.[5] L. Cooper and D. A. Kotys-Schwarts, “Designing the Design Experience – Identifying the Factors of StudentMotivation in Project-based Learning and Project Service-based Learning”, in Proceedings of the
this paper believe that this is an important aspect in theestablishment of the field and should have been included in Fensham1’s characterizationbecause without adequate funding, high quality, rigorous research is unlikely to happen. Inthe U.S., the National Science Foundation (NSF) began funding STEM education-relatedprojects beginning in the late 1980s-early 1990s. The current budget for the Education andHuman Resources directorate in the NSF is nearly $1B per year (for all of STEM, not justengineering) and there are other funds available for EER within the NSF that are not includedin this overall amount.One could argue, that EER in the U.S. emerged primarily because there was a steady fundingstream available to support people who wanted to
) Robbins, S. B., Lauver, K., Le, H., Davis, D., Langley, R., & Carlstrom, A. (2004). Do Psychosocial and Study Skill Factors Predict College Outcomes? Psychological Bulletin, 130(2), 261-288.(6) Le, H., Casillas, A., Robbins, S. B., , & Langley, R. (2005). Motivational and Skills, Social, and Self- Management Predictors of College Outcomes: Constructing the Student Readiness Inventory. Educational and Psychological Measurement, 65(3), 482-508.(7) Peterson, C. H., Casillas, A., & Robbins, S. B. (2006). The Student Readiness Inventory and the Big Five: Examining social desirability and college academic performance. Personality and Individual Differences, 41(4), 663-673.(8) Robbins, S. B., Allen, J., Casillas
fixtures withT8/T5 lamp(s) and electronic ballasts.Reduction in connected Watts $0.40 per Watt reducedMaximum incentive is $150 per installed fixture. Page 24.448.7Practical ProjectA 29,000 square foot warehouse near Chicago is selected for this project. The warehouse is usedfor packaging and storing food. Clients for this company vist the warehouse on regular basis tocheck the quality of the packaged food and electric power and lighting is a key factor. Thewarehouse had a variety of ineffeciet, noisy and sometimes non-functional light fixtures such as12 foot T12, Mercury Vaspor 400W, Metal Halite 400W, and 4 foot T12. These light
surveys completed, the vast majority of ratings in all thecategories have been “4”s and “5”s. Such scores correspond to “Often” and “Always or almostalways” with respect to the student interns performing the Key Actions that demonstrate eachcompetency. The average rating for the 14 competencies and completed supervisor surveys forthe seven interns was 4.59. Given the small sample size, there are limits to the conclusions thatcan be drawn from these data, but other departments using the same methodology could obtainvaluable information for continuous improvement. The ratings of the competencies for the seveninterns are displayed in Table 2. Competencies are listed in order from highest to lowestsupervisor ratings. As indicated by the Sample Size
such as costeffectiveness, ease of installation, modularity of assembly/disassembly, simplicity, andeffectiveness of design. During the second half of the term, the teams of students work ondifferent aspects of the implementation of the chosen design proposal.Community-based Engineering Design ProjectPrior to assigning the project to the students in the course, the following issues related to projectidentification were addressed and presented to the students as part of Phase 1 of the ServiceLearning Project. • Perform an assessment of the need (if the need is not already defined) • Identify stakeholders (customer, users, person(s) maintaining the project, etc.) • Understand the Social Context • Define basic stakeholder requirements
Consultant provide consulting services to local industry. Services include: elastomeric product design and analysis, machine design, finite element analysis, solid modeling, vibration analysis and diagnostic testing. Dr. Michael holds several patents and has several patents pending primarily in the area of noise, vibration and harshness (NVH) type isolation products. He has published extensively in this area as well. He is a licensed professional engineer in the Commonwealth of Pennsylvania.Mr. Fredrick A. Nitterright, Pennsylvania State University, Erie Mr. Fred Nitterright is a lecturer in Mechanical Engineering Technology at Penn State Erie, The Behrend College. He received the A. A. S. in Mechanical Drafting and Design in
actually implemented during team processes. Page 24.159.8 7ReferencesAlexander, M. W., & Stone, S. F. (1997). Student Perceptions of Teamwork in theClassroom: An Analysis by Gender. In Business Education Forum (Vol. 51, No. 3, pp. 7-10).Al-Khazraji, N. (2009). The culture of commercialism: globalization in the UAE(Doctoral dissertation, Georgetown University Washington, DC).Al-Krenawi, A., & Graham, J. R. (2000). Culturally sensitive social work practice withArab clients in mental health settings. Health & Social Work, 25(1), 9-22.Al Romaithi, A. A
Hispanic Higher Education, 5(3), 203-221.4. Crisp, G., & Nora, A. (2010). Hispanic student success: Factors influencing the persistence and transfer decisions of Latino community college students enrolled in developmental education. Research in Higher Education, 51(2), 175-194.5. Crisp, G., Nora, A., & Taggart, A. (2009). Student characteristics, pre-college, college, and environmental factors as predictors of majoring in and earning a STEM degree: An analysis of students attending a Hispanic Serving Institution. American Educational Research Journal, 46(4), 924-942.6. Harper, S. R., & Quaye, S. J. (2007). Student organizations as venues for Black identity expression and development among African
aspects; 3) Using astandardized method for quantifying defects will lead to more statistically significant data.ACKNOWLEDGMENTSThis work was supported by the National Science Foundation grant number EEC-0552860,Research Experiences for Undergraduates (REU) Industrial Applications of Sensing, Modeling,and Control. Additional thanks to Dr. Mike Baswell for his assistance in the foundry pouringmolten aluminum and to Mr. Wayne Hawkins for his assistance in preparing specimens formetallography and analysis.BIBLIOGRAPHY 1. Abdelrahman, M. and Pardue, S., “An REU Experience on the Industrial Applications of Sensing, Modeling And Control,” Conference Proceedings of ASEE-SE Regional Conference, April 2008, Memphis, TN. 2. Abdelrahman, M
. 4, SD = 0.86 3.a. Explain the PIC16FXX embedded system circuit design. M = 4.13, Med. = 4, SD = 0.76 3.b. Use I/O pin configuration and control functions with an internal CONFIG register. M = 4.27, Med. = 4, SD = 0.65 4.a. Explain the use of a flowchart for PIC programming. M = 3.93, Med. = 4, SD = 1.01 4.b. Calculate and write a time delay loop(s
old model was to start with the technician training and infuse more science, and mathematical version of the 50’s-‐60’s technician trainings. However, the pragmatic essence of engineering to build, design, and make things was fading and began to disappear in most curricula. Consequently, ABET tweaked its emphasis to ensure that engineers are developing the right balance of hard and soft skills. Page 24.679.5 One perspective on the ABET requirement was to liberate engineering education by bringing together the most important
. IntroductionResearch in engineering education over the past 15 years has shown that US undergraduateengineering student enrollment in decline while the demand for qualified engineering graduatesis expected to increase1. The U.S. Bureau of Labor Statistics (BLS) predicts a 22% growth injobs for fields related to Science, Technology, Engineering, and Mathematics (STEM) between2004 and 2014 (U. S. Department of Labor, 2005)2. It revealed that fewer than 40 % of studentswho enter college intending to major in a STEM field complete college with a STEM degreetoday3. The engineering graduation rate is even lower for Texas Higher Education institutions4.Research by ACT indicates that fewer than one in five 12th graders have both high interest inSTEM and high