and research training opportunities – Provideopportunities for students to participate in periodical seminars (once a month) to enhance theirpresentation, thinking, and research skills; introduce the students to Simulation-Based Engineering andScience (SBE&S) concepts; and time management skills. These activities will enhance students’knowledge and competiveness in the market place.(4) Enhance the educational experience of students through workshops/seminars, K-12 and communityoutreach opportunities – Encourage the students to participate in STEM student chapter activities (ACM,IEEE, UPE, STARS, NSBE, and others); guest seminars (Medical Physics and Computer Science);travel to local and regional conferences; workshops; graduate schools
classrooms for the sake of research so as to have classes with balancedstrengths, without unduly inconveniencing students. It is also recommended that there should beresearch into finding ways of factoring student native abilities into the results of researchfindings that use class comparisons.References:1. Felder, R.M. & Silverman, L.K., Learning and Teaching Styles in Engineering Education, Journal of Engineering Education, Vol. 78, No. 7, pp. 674-681, (1988).2. Michel, N., Cater III, J.J.& Varela, O. (2009). Active Versus Passive TeachingStyles: An Empirical Study of Student Learning Outcomes. Human Resource Development Quarterly, 20(4).3. Stewart-Wingfield, S., & Black, G. S. (2005). Active versus passive course designs
energy conservation and use of renewable energy in buildings. He received his BS degree in mechanical engi- neering (1991) from the University of Puerto Rico at Mayag¨uez; MS (2000) and PhD (2004) degrees in mechanical engineering from the University of Illinois at Urbana-Champaign. He has worked and collaborated with the U. S. Army Corps of Engineers and the University of Wis- consin at Madison, among others. Recent work involves characterization of microencapsulated phase change material slurry and nanoparticles in heat transfer fluids, as well as the study of spray cooling using nanostructured surfaces. Dr. Alvarado has done substantial work in the area of biofuel characterization in the last few years. He has
engineering student learns how language code translates into math code, the studentcan further develop his or her sentence-level skill set, learning how to combine, invert,manipulate basic sentence units into advanced sentences.The following is an illustration of sentence algebra being taught using engineeringcontent/context: Consider the sentence-algebra equation for a basic sentence (B2) … B2 = (Ns * Mn) + (Vt) + (No * Mn) where: Ns = subject noun word(s) Vt = transfer action verb word(s) No = object noun word(s) Mn = noun modifier word(s) Now, as complement to
was measured on a five-point Likert scale with responses rangingfrom 1 (not at all important) to 5 (extremely important). On the survey instrument, participants self-reported their “sex” (female and male), whichiidenotes biological and physical differences between the two groups. However, we refer to“gender” (women and men) in our discussion of results, as we propose that the characteristics Page 24.295.5measured in this study are more related to the social roles of the two groups 9 Scutt, H. I.,Gilmartin, S. K., Sheppard, S. & Brunhaver, S. in ASEE Annual Conference & Exposition..Career ValuesCareer values are defined as the
current by referencing something recentlyin the news, and (3) add novelty to the prompt through unexpected information or an ethicaldilemma. These principles lie at the heart of EPSA scenario construction. EPSA scenario designis further scaffolded by the EPSA discussion instructions given in Table 2. The instructions inTable 2 are given to student groups along with a scenario in preparation for an EPSA discussion.From the discussion instructions, questions 1, 2, and 3 relate to ABET 3f, question 4 relates toABET 3h, and questions 5 and 6 relate to both ABET 3i and 3j.Table 2. EPSA discussion instructionsImagine that you are a team of engineers working together for a company or organization on theproblem/s raised in the scenario. 1. Identify the
inSection 3. The paper is concluded in Section 4 with discussions on plans for extending thedeveloped prototype to a complete intelligent tutoring system for electrical machines.2. Virtual Education Environment Computer-aided instruction (CAI) systems [5] were introduced as early as 1960's as a meansof assisting students outside the classroom. The first CAI programs were either computerizedversions of textbooks, or drill and practice monitors [6] that presented a student with problems andcompared the student’s responses to the pre-scored answers, and if necessary, provided the student withcanned remedial responses. Improvements were continuously made until computer-aidedinstruction systems evolved into intelligent tutoring systems (ITS) [7, 8
Smith (2013). The mean andstandard deviation of the ratings were reported and observations were made. In general,students gave higher ratings on encouraging the future use of Piazza than Praze and Panopto.Students also thought Piazza was easier to use than Praze and Praze was easier to use thanPanopto. When asked to compare SYS 2001 to other courses, students agreed the most withthe statement that ―Compared to other courses, this course used technology to allow moreface-to-face interaction with the instructor(s) and other students.‖ 97% students agreed orstrongly agreed that they received more feedback in SYS 2001 than other courses and 67%agreed or strongly agreed that the structure of the course and the technologies used helpedstudents
education. Eurasia Journal of Mathematics, Science and Technology Education, 3(3), 185–189.7. Roehrig, G. H., Wang, H., Moore, T. J., & Park, M. S. (2012). Is adding the “E” enough? Investigating the impact of K-12 engineering standards on the implementation of STEM integration. School Science and Mathematics, 112(1), 31–44.8. Stohlmann, M., Moore, T., & Roehrig, G. (2012). Considerations for teaching integrated STEM education. Journal of Pre-College Engineering Education Research, 2(1), 28–34.9. Morrison, J. S. (2006). Attributes of STEM education: The student, the academy, the classroom. TIES STEM Education Monograph Series, (August).10. Brophy, S., Klein, S. S., Portsmore, M., & Rogers, C. (2008
project, is the Page 24.948.3problem definition phase characterized by asking relevant questions and attempting to findplausible/ realistic answers. No sooner has a client or professor defined a series of objectives fora design project than the designer- whether in a consulting office or in a classroom- want to findout what the customer really wants. Questions such as: what is an economic project? How doyou define the best design? What is a safe design? What are the factor(s) that will affect thedesign the most? Phrasing it differently, knowledge resides in the questions that can be asked andthe answers that can be provided. (2, 3) A sequence
International Conference on Engineering Design (ICED'09), Vol. 2 (pp. 441-452).[17] Atman, C. J., Chimka, J. R., Bursic, K. M., & Nachtmann, H. L. (1999). A comparison of freshman and senior engineering design processes. Design Studies, 20(2), 131-152.[18] Shabani, K., Khatib, M., & Ebadi, S. (2010). Vygotsky's zone of proximal development: Instructional implications and teachers' professional development.English language teaching, 3(4), p237.[19] Akao, Y. (1990). Quality function deployment: integrating customer requirements into product design. Productivity Press.[20] Sauerwein, E., Bailom, F., Matzler, K., & Hinterhuber, H. H. (1996). The Kano model: How to delight your customers. In International Working Seminar on
instructional interventions. Theinterventions were either school-wide or part of smaller, in-school academies. The 2012-13school-year was the launch of the Urban Initiative.As part of a larger research project, a set of surveys were developed to measure student attitudestoward STEM and interest in STEM careers. Two versions of the “Student Attitudes towardSTEM (S-STEM) Survey” were created, one for upper elementary students (4th and 5th grade)and another for middle and high school students (6-12th grade). To measure student interest inSTEM careers the final section of the S-STEM Survey contained twelve items, each with adefinition of a STEM career pathway and titles of related occupations. One item read, forexample, “Medical science involves
1990’s, design thinking gained popularity as a way to foster and sustain innovation by Page 24.146.2having work environments that focused on the customer while simultaneously supportingemployee’s experimentation 16. Design thinking is used in all industries from mechanical 1engineering, business, and healthcare to education, art, and design(http://www.byui.edu/clusters/design-thinking).Specifically, design thinking is defined as a human-centered design process to solving ill-structured problems using an organized method of defining the problem by observing andempathizing with the people who are
differently during the different stages of the design process. As such,the rubric divides the design process into three stages (i.e., Requirements/Problem Definition,Concept Generation/Development, and Technology Integration), which can be modifieddepending upon the design project, and a fourth category for the overall design.Each design stage is examined more closely using questions about the incorporation ofstakeholder considerations at that stage, 1. Did the student(s) state an intention to incorporate stakeholder concerns at this phase? 2. Did the student(s) apply a design process at this stage that could include stakeholder concerns? 3. Was the student(s) successful in integrating stakeholder concerns?These
. This paper describes the newprototype strategy planning tool, the pilot experiment, and results and conclusions. The veryencouraging pilot results provide a template and strong motivation for conducting a larger scaleexperiment for generic prototyping applications.1 IntroductionAn engineering prototype (physical or virtual) is an initial manifestation of a design concept,either a scale or full-size model of a structure or piece of equipment, which can be used toevaluate performance, form, and/or fit. Prototyping is the process of generating prototype(s),usually between concept generation and design verification stages. Prototypes provide designengineers the opportunity to determine if a concept is technically feasible, optimize
NSF S-STEM grant to increase the recruit- ment, retention and development of underrepresented populations in electrical and computer engineering. She has approximately 20 peer-reviewed publications with two in the Computers in Education Journal. She also recently published a book on Mobile Robotics for Multidisciplinary Study.Dr. Monica Farmer Cox, Purdue University, West Lafayette Monica F. Cox, Ph.D. is an Associate Professor in the School of Engineering Education and is the Inaugu- ral Director of the College of Engineering’s Leadership Minor at Purdue University. She also serves as the Executive Director of the International Institute for Engineering Education Assessment (i2e2a). She ob- tained a B.S. in
. An interesting observation regarding these last result was detectedthrough students’ comments during the self-assessment stage: in these teams with lowerperformances, the commitment level of some team member(s) was not the adequate throughoutproject development, which was reflected on the quality of requested deliverables, including thefinal presentation.The Consensual Assessment Technique (CAT) is a powerful tool used by creativity researchersin which panels of expert judges are asked to rate the creativity of creative products such asstories, collages, poems, and other artifacts18, 23. In our case, experts in the domain (chemical,food, and environmental engineering teachers and senior undergraduate students) in question(material balances
Ethics, pro- fessionalism, and Education. Dr. Barakat is currently the chair of the Technology and Society (T & S) Division and the ASME district B leader. He is the current secretary/treasurer of the ASEE Ethics Division. Page 24.69.1 c American Society for Engineering Education, 2014 A Model for Engineering Ethics Education Leveraging Workplace Experiences through a Co-op ProgramAbstractEducating engineering student about professional ethics involves multiple challenges. Thesechallenges can be extrinsic such as finding a proper place, timing, and quantity
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achievement and gender affect the earnings of STEM majors? Apropensity score matching approach. Research in Higher Education. doi 10.1007/s11162-013-9310-y.4 Thomas, S. L., & Zhang, L. (2005). Post-baccalaureate wage growth within 4 years of graduation: The effects ofcollege quality and college major. Research in Higher Education, 46(4), 437–459.5 Carnevale, A. P., Smith, N., & Melton, M. (2011). STEM: Science, technology, engineering, mathematics.Washington, DC: Georgetown University, Center on Education and the Workforce.6 Langdon, D., McKittrick, G., Beede, D., Khan, B., & Doms, M. (2011). STEM: Good jobs now and for the future(ESA Issue Brief No. 03-11). Washington, DC: U.S. Department of Commerce.7 Hoachlander, G., Sikora, A. C
and Senior Project Courses, Paper 7199, 120th ASEE Annual Conference.3. Todd, R. H., Magleby, S. P., Sorensen, C. D., Swan, B. R. Anthony, D. K. (1995). A survey of capstone engineering courses in North America. Journal of Engineering Education, (84)2, 165-174.4. McKenzie, L. J., Trevisan, M. S., Davis, D. C., and Beyerlein, S. W. (2004). Capstone design courses and assessment: A national survey. Proc. American Society for Engineering Education Conf. Salt Lake City, UT.5. Howe, S., (2008). Focused follow-up to 2005 national capstone survey. Proc. American Society for Engineering Education Conf. Pittsburgh, PA.6. Duston, A. J., Todd, R. H., Magleby, S. P., Sorensen, C. D. (1997). A review of literature on teaching engineering
n2 x2 s2 Grading Plan 17 89.7 6.5 18 80.6 11.2 Stormwater Plan 17 87.8 6.8 18 71.3 12.5 n = sample size, x = mean, and s = standard deviationThe results appear to show a drop in graded performance on the embedded indicators. Astatistical t-test analysis27 was conducted to confirm the change in performance. Assuming thatthe population distributions are normal and the standard deviations (σ1 = σ 2) are approximatelyidentical (+/- factor of 2), the null hypothesis is that the means are identical ( x 1 – x 2 = 0).Comparing the EDP Grading Plans from 2011 and 2012Pooled estimate of the σ2 is determined as follows
somewhat reduced the amount of material included in the lectures. Table 2. Path generation module. Topic Content 1 Kinematics: A brief review of Kinematic relationships between position, velocity, basic concepts acceleration; graphical representations; examples 2 Common motion profiles 2.1. Trapezoidal velocity profile Derivation of kinematics formulas for position, velocity and acceleration profiles; examples using Excel 2.2. S
percentages:Figure 4 – Percentages of students versus their time to graduation, by gender and whether theygained work experience while at GTAgain, we can see that gender doesn’t change things much at all – students who gain workexperience while at GT overwhelmingly delay their graduation by at least 2 semesters.3. Predictive ModelNext we seek to develop a statistical formula that will provide an estimate of a student’s time tograduation, in semesters, based on whether the student engages in some of the behaviorsanalyzed in this paper and in our earlier work: - Citizenship and residency status, - Whether the student will be a student-athlete at any time during their studies, - Whether s/he will receive a poor grade (D, F, or Withdrew), AP credit
questions: what information isrelevant to the studied attack, where related fingerprint items can be located, and whatinformation each piece of fingerprint can indicate. Also, an evidence tree can provide thecontextual information to correlate attack operations by examine the fingerprints theyproduce. Furthermore, the contextual information provided to an incident tracking softwaremay have the potential of automating attack reconstruction. Page 24.1075.11References[1] Biggs, S. and Vidalis, S. (2009). Cloud Computing: The Impact on Digital Forensic Investigations. InProceeding of the International Conference on Internet Technology and Secured
Glass Interior Operating Conditions: 4.0 Passive System: Insulated Basin 80 Glass Exterior Avg. Wind Speed = 6.4 m/s Passive System: Uninsulated Basin Water Avg. Outside Air Temperature = 30.95 o C Active System: Insulated Basin Distilled Water Yield Rate, L/m2/day Ambient Air Glass Inside Temperature = 37.12 o C
prior art, customer objective(s), customer requirements,design economics, drawings, analytical results, engineering changes, test reports, and an openissues list4. Patent search results may also be included. As the design develops, the presentationshould provide insights into design activities, design alternatives considered and selected,technical/economic trade-off analysis and justifications, and conclusions21. Often the TDR process includes oral presentations. During oral presentations, designassumptions, analysis, alternatives and design methods are challenged during question andanswer (Q&A) portions of the TDR. Duesing4 (2004) states that it is “…critical that engineersexplain their concepts and designs to an engineering and
teaching practices anda five-minute video commentary of their classroom implementation of the topics (if applicable)according to the National Board aligned prompt(s) in each unit (see Appendix A for an examplerequirement and prompt). For more information on the T2I2 professional development materials,please refer to Ernst, Clark, DeLuca, & Bottomley, 20138.Pilot teachers may exercise a great deal of freedom when using the T2I2 system. First, there is noset order for how teachers go through the content. Even though Learning Objects are grouped byUnit, they do not have to be read in any particular arrangement. This allows teachers to chooseareas that interest them the most to read first. Second, although teachers must submit all of theirUnit
. Christensen described growing need forboth “top quality engineering scientists” and “engineering statesmen,” arguing that the lattershould be “trained to have the breadth of social knowledge and technical excellence to transferAmerican know-how in civil engineering to underdeveloped countries.”8 Christensen clearlytook the position that some of this know-how should be developed at the undergraduate level,adding that “[t]he 20 per cent of humanistic activities so widely accepted is only a start towardwhat is needed.” S. S. Steinberg, Dean of Engineering at the University of Maryland, took asimilar position. Discussing how American engineers might support Truman’s “Point Four”program – which aimed to provide technical assistance to developing countries