the data collected by U.S. Center for Disease Control andPrevention, and shows that Twitter data can improve the model prediction accuracy [12]. Theseefforts suggest that social media is an appropriate channel for better understanding STEMeducation issues.STEM education has a key implication for the workforce development and thus, the distributionof STEM workforce can be a reflection of the state of STEM education in the society.Unfortunately, the recent events and campaigns for stereotyping in the workforce indicate the poordiversity of STEM workers and how the minorities are stereotyped – particularly women. Thisbehavior further undermines the efforts to raise awareness for STEM education. On the other hand,there are several initiatives by
onrequiring matching funds from the local campuses and providing data to administratorsat the end of the project and was too limited. When the Toys’n MORE funding ended,one of the three campuses was able to support their STEM summer bridge program foronly one more summer. Reflecting on the Toys’n MORE project, a sustainability planneeds to start at the beginning of any time-limited funding. For the Engineering Aheadproject , we are pursuing three strategies for the long-term sustainability of summerbridge programs at Penn State Abington, Altoona, and Berks: Engage the campus administration early on o Share the positive results of previous bridge projects o Request a financial contribution for the summer bridge programs for each
. These programs appear to be effective atincreasing the retention and graduation of under-prepared but otherwise motivated andacademically talented students, but it could be that these struggles are reflective of broaderchallenges in attracting women to engineering. Redshirt programs can only help students whoapply - there is clearly more work to be done to encourage women to pursue engineering.While the Redshirt in Engineering model is designed with students from low-incomebackgrounds in mind, it provides a framework for supporting the success of students from othergroups historically excluded from engineering. The redshirt model targets both personal andstructural obstacles to retention - in addition to providing financial and academic support
theprogram for at least a year) and to reflect back to rate themselves in these same areas before theygot involved with the program. Retrospective post-then-pre designs are useful to reduceproblems that arise when program participants under or over-report their knowledge or abilitieson pre-tests due to a lack of understanding. Retrospective post-then-pre tests are designed toreduce this “response shift bias” (University of Wisconsin-Extension, 2005).A total of 51 retrospective surveys were collected from youth who consented to participate in theevaluation study. These included 17 TechHive participants and 34 participants from acomparison group of other interns.YouthInterviewsTechHive youth were asked to participate in an interview at the end of the
, the ADVANCE Institute conducts a faculty climatesurvey every two years. The survey was piloted in 2014, before the grant was awarded, in orderto collect baseline data. The original survey was modeled off of faculty climate surveys fromother ADVANCE grantees including the University of Wisconsin and the University ofMichigan. The last version of the survey, set to be fielded in February 2018, was revisedsubstantially to better reflect current climate concerns and areas of programmatic interest forADVANCE. That being said, we have chosen to leave core questions unchanged in order toanalyze longitudinal data over the life of the grant.The faculty climate survey is a primary source of data to understand the experiences of faculty ofcolor on
ofelectrons. When this insulating barrier is small enough, just a few nanometers, then electronscan, as defined by quantum mechanics, tunnel their way through the barrier and to the other side.The free layer changes orientation based on Spin Transfer Torque of the electrons and thedirection of the current.Parallel orientation can be generated when electrons pass through the pinned layer first,represented in Figure 1A below. The electrons take on a specified orientation that matches thefixed layer’s magnetic orientation. Due to the electron’s spin polarization they will apply atorque onto the free layer causing the free layer’s magnetic orientation to match the fixed layer’s.During this process some electrons will be reflected back towards the pinned
80 63 14 13 2015 206 154 24 63 2016* 94 86 20 19*In 2016, we recruited one math teacher who was suitably matched to a research project, but he failed to completethe program.Table 2 shows the diversity of the applicant pool demographics reflecting the diversity of theteachers in the Houston region.Table 2. Demographics of the RET applicant pool (2014-2016).Ethnicity % Gender %Asian 13% Female 64
for improving that must be recognized and interpreted this course?by the user. Comprehensive LCAs require large amounts of resources and time. Accurate datacollection Students is central to a reliable assessment and the value of an LCA is only as good as the dataused. LCAs Simpler are usually assignments performed and tutorials withsoftwares. on the LCA truncated boundaries to limit the amount of extraneousdata n/a implying a compromise for practicality. While LCAs offer insights into the environmental I think that really hitting us with the deep views and making us reflect more on big ideas and
Deputy Chairman of the Boar respectively of the Housing andBuilding National Research Center (HBRC) in Cairo, Egypt, for their partnership and continuoussupport of the program. Any opinions, findings, and conclusions or recommendations expressedin this material are those of the authors and do not necessarily reflect the views of the NSF. 16 APPENDIX AADVERTISING BROCHURES (2015 & 2016) 17 APPENDIX B SUMMARY OF REQUIREMENTS FOR STUDENT WORK PRODUCTSA. Summary of your personal experience (1-2 pages) Times New Roman (12) Single Space Brief Description of your research, including project title(s), team and mentors Brief
PT Work Family Other Students 104 3 33 38 33 Percentage 97.20% 2.80% 30.80% 35.50% 30.80% Table 5. Shows question 5 and the results of the answers received for question 5In addition to results shown in Table 5 reflecting what other commitments students have everyweek; an average of Work/Family/Other commitments was calculated with results showing anaverage of 52.1 hours committed to activities per student. Table 6 shown below displays thestudents’ preference by grouping the answers from question one into two groups. These twogroups being prefer and not prefer
. Unfortunately, no data for Physics IB were collected due toan error in the reporting system. Also, some students may not have reported scores if they weretoo low to receive credit. Thus, there is potentially a larger number of students who took thephysics advanced placement exams than the reported 45-50%.Table 3 shows the level of math and physics preparation of the 2015-2016 incoming class,reflecting the math they were placed into and their self-reporting of AP physics scores. The vastmajority of students test into multivariable calculus, with half self-reporting an AP physics scoreand half not reporting an AP physics score. The students placing into a lower level of math(differential or integral single variable calculus) were much more likely not to
thesecomponents during assignment creation. Individual responses from the survey are notavailable in compliance with Cal Poly’s Policy on Human Subjects Research [7].Global Warming Potential (GWP) and Energy Consumption of a Graphing CalculatorNo LCA was readily available for a graphing calculator, so it was modeled as beingsimilar to a laptop, but scaled down to reflect a calculator’s smaller size and lowerpower rating. A TI-84 Plus graphing calculator (very common in the current generationof college students based on the survey) is 14.0% of the mass of the laptop in question[10] and contains 12.6% of the volume of the same laptop. Other graphing calculatorsare also similar in size, both in mass and in volume when compared to a laptop in thisway. Since
: researchfindings and future directions. Learning and Instruction, 20 (1), 270-279.[18] Lin, S., Liu, E., & Yuan, S. (2001). Web-based peer assessment: feedback for students with various thinkingstyles. Journal of Computer Assisted Learning, 17, 420-432.[19] Keppell, M., Au, E., Ma, A., & Chan, C. (2006). Peer learning and learning-oriented assessment in technology-enhanced environments. Assessment & Evaluation in Higher Education, 31 (4), 453-464.[20] Chen, N.-S., Wei, C.-W., Wu, K.-T., & Uden, L. (2009). Effects of high level prompts and peer assessment ononline learners' reflection levels. Computers & Education, 52, 283-291.[21] Guardado, M., & Shi, L. (2007). ESL students' experiences of online peer feedback. Computers
infrastructure is given similar to the ones they will see in the field are given tothe students. Also the design and construction of foundation of different infrastructure rangingfrom earth dams, power plant, tunnels, high rise buildings and embankments are presented.Students are also provided with the report of the geotechnical investigation of the site, architecturaland structural drawings of the infrastructure before the visit.Students are instructed to wear appropriate attire during the visit: thick sole shoes (boots withtreads), pants, shirts with sleeves. No tennis shoes, open toe shoes or heels.Students are briefed on safety issues before entering the construction site and they are providedwith reflective vest, googles and hard hats as safety
most useful for addressingchallenges that are complex, require many people, and in which there is a high degree ofuncertainty about the best approach.1 This set of conditions holds true far beyond productdevelopment.One such scenario is that of planning and implementation of organizational interventions –anenvironment in which “strategic planning” is often the tool of choice but one which is ineffectivein a networked (rather than hierarchical) context. An alternative approach described in this paperis “strategic doing”. As in agile product development, the approach uses iterative cycles ofimplementation, learning and reflection, and improvement, with a focus on rapidexperimentation and gradual scaling up of solutions. While not designed for
actionable commercialoutcomes whereas Entrepreneurship refers to executing on those opportunities in fulfillment ofcommercial outcomes. There is extensive overlap across the continuum from creation/discoveryto execution and outcome. Center programs and lead personnel assignments are being designedto focus on areas of the continuum most appropriate for the stage of the opportunity, theindividuals involved, the technology being pursued, and other relevant factors. This I&Econtinuum, as we envision it, is reflected in Figure 1.Key initiatives of the Center include creation of an Innovators & Entrepreneurs guest speakerseries, execution of a coordinated pitch competition strategy, development of a mentor network,enhanced curricular programming
-thinking across theparticipant sample. The study was approved by Harding University’s IRB.Data CollectionWe gathered design records from three separate teams of four students each (n = 12). Throughoutthis paper, we refer to the teams as Hardware Team, Mattress Team, and Lighting Team. Eachteam was assigned the task of creating displays in the store for the corresponding product. Wecollected two sources of data: design notebooks and team design documents.Design Notebooks: In order to record the students’ design concepts, each student wrote in adesignated notebook. The students were asked in these notebooks to record their reflections,ideas, and thought processes. In the notebooks, individual students documented their earlyconcepts in response to
date, the use of assignments and the assessment of learning has been tied to thespecific courses.Sources for suitable TEL stories are widely available. In reading accounts of engineers and theirwork, the author has encountered suitable passages in abundance; it has been more of an issue tokeep track of useful passages and to prepare the assignment.While repeated use in more than one course is appropriate and may even be desirable, thecollection needs to be much larger to avoid undue repetition. The collection of prepared storesand of materials for creating more reflect the author’s interests and biases. The author is drawnto technologies from the mechanical field such as water and steam power, railroads, automobiles,and aircraft. Students may
the author(s) and do not necessarily reflect the views of the NationalScience Foundation. The authors wish to thank the STRIDE team and survey participants fortheir engagement with this study.References [1] M. Credé and N. R. Kuncel, “Study habits, skills, and attitudes: The third pillar supporting collegiate academic performance,” Perspectives on Psychological Science, vol. 3, no. 6, pp. 425-453, 2008. [2] A. Godwin, “Unpacking Latent Diversity,” in American Society for Engineering Education (ASEE) Annual Conference and Exposition, Columbus, OH, 2017. [3] J. J. Lin, P. K. Imbrie, K. J. Reid, and J. Wang, “Work in progress—Modeling academic success of female and minority engineering students using the student attitudinal
” and ”Interpreting Diffuse Reflectance and Transmittance.” He has also published papers on effective use of simulation in engineer- ing, teaching design and engineering economics, and assessment of student learning. c American Society for Engineering Education, 2019 Work in Progress: Integrating Entrepreneurial Mindset within Undergraduate Engineering Course ProjectsAbstractEntrepreneurial mindset is important for maintaining a competitive edge in this dynamic and changing engineeringworld. The Kern Family Foundation through its Kern Entrepreneurial Engineering Network (KEEN) has made it itsmission to equip engineers with an entrepreneurial mindset with the hope that this
BPHS. 2. Have higher program retention rates for S-STEM Scholars than they would have had without the S-STEM program. Specifically, to have a 95% second-year retention rate and an 80% five-year graduation rate. 3. Improve the career-related knowledge of S-STEM Scholars through participation in career-development activities, including career counseling and formal reflection on internship experiences in relation to their assessed interests and values. 4. Have at least half of the S-STEM Scholars intern in the electric power industry and work in the industry upon graduation.Student Selection Process and Criteria The S-STEM program worked with the three partner high schools to recruit students fromeach high
, theCALSTEP team will have as one of its priorities connecting with organizations (e.g., theCalifornia Online Education Initiative, or OEI) to find resources to support the effort todisseminate the CALSTEP resources and prepare additional faculty to use the resources in theirclassrooms.AcknowledgementsThis project is supported by the National Science Foundation through the ImprovingUndergraduate STEM Education (IUSE) program, Award No. DUE 1430789. Any opinions,findings, and recommendations expressed in this paper are those of the authors and do notnecessarily reflect the views of the National Science Foundation.References[1] President’s Council of Advisors on Science and Technology (PCAST) (2012). Engage to excel: Producing one million additional
capability.”During the final interview with Team 1, another student stated: “I mean, there was some stuff that [the lab] kind of thought of late, [features] that they sort of thought about and they wanted added in… they didn't really tell us about [the features] until way into the designing process.”These thoughts were reflected in the students’ post-course surveys. For example, one Team 1student added a caveat to their pre-course response about how stakeholders should have aprominent role during design: “Stakeholders should have a large role but they also need to understand the entire design process and know what kind of limitations there are.”The same Team 1 student also changed their pre-course response to Question 4
have not chosen a career in IT were invited to participate ina focus group for one-to-one interviews, where young women reflected on the reasonsbehind their decision not to continue in IT. Here we present qualitative results of thesurvey.MethodologyFor the follow up survey we utilized the database of clients who enrolled inextracurricular courses in IT from Unium. We have been provided with data going backto 2007. From the broad range of educational courses offered by Unium we have focusedonly on those that are IT-related, namely: Web-design, computer flash graphics, andprogramming in C/C++. We limited the selection pool to over 900 pupils satisfying thosecriteria, including 142 girls.We aimed to form a group of 8-10 young women for a focus
based on the particular device, regardless of the order in which theywere detected. The instruments’ data collected by the python programs were stored in a local MySQLdatabase on the Raspberry Pi. This local database on the Raspberry Pi had seven data tables; twofor the acoustic Doppler current profiler, four for the weather transmitter and one for the waterquality Sonde. Some instruments used multiple tables to store data in a way that reflected howdata was retrieved from them. All of the tables in the local database had an index column thatserved as the primary key, a column with time stamps from the system time and columns of datavalues. The data values were stored as floating point numbers to preserve precision.6.0 System
, Writing and Learning Disabilities Vol. 6, pp. 223-247.9. Johnson, D.W., Johnson, R.T. & Smith, K.A. (1991), “Active Learning Cooperation in the College Classroom,”Edina, MN: Interaction Book Company.10. Fairhurst, A.M., & Fairhurst, L.L. (1995), “Effective Teaching, Effective Learning,” Palo Alto, CA: Davies-black Publishing11. Dale, E. (1969), “Audiovisual Methods in Teaching,” (3rd ed.), New York: Dryden Press.12. Wankat, P.H. (1999), “Reflective Analysis of Student Learning in a Sophomore Engineering Course,” Journal ofEngineering Education, Vol.88, (no.2), 195 -203.13. Finelli, C., Klinger, A., & Budny, D.D. (2001), “Strategies for Improving the Classroom Environment,” Journalof Engineering Education, Vol 90, (no.4), pp. 491
Sciences, Vol.9, No.3, pp.313-314.26. Oakes, W. C., Jamieson, L. H., and Coyle, E. j.,(2001), “EPICS: Meeting EC 2000 Through Service Learning,” Proc., ASEE Conference and Exhibition, Session 3461.27. Bright, A., and Dym, C. L., (2004), “General Engineering at Harvey Mudd: 1957-2003,” Proc., ASEE Conf. and Exhibition, Session 1471.28. Adams, R. S., Turns, J., and Atman, C. J., (2003), “Educating Effective Engineering Designers: The Role of Reflective Practice,” Design Studies, Vol. 24, No. 3, pp.275—294.29. Mills, J. E., and Treagust, D. F., (2004), “Engineering Education- Is Problem – Based or Project - Based Learning the Answer?” Australasian Journal of Engineering Education, www.aaee.com. Au/journal/mills_treagust03.pdf.30
mappings are actuallyassigning points in the 2-dimensional w-plane to points in the 2-dimensional z-plane.w = az + b w = ln(z) az+b w = sin(z) , w= arcsin(z)w= cz+d w = cos(z) , w= arccos(z)w = z2 , w = √z w = tan(z) , w = arctan(z) 𝑛w=z n . w = √𝑧w = e z = e (x + iy) = e x e iyThe reflection in the horizontal axis x – iy of a complex number z = x + iy is called the conjugateof z and is represented by the symbol z*. The conjugate of z can be used to
percentages reflect that engineering majors often take more than four years toearn the bachelor degree. Table 4 shows these comparisons in table form, with counts andpercentages. Table 3 --- Demographics of LSAMP REU Participants for Summer 2005 and Summer 2006, Plus WIMS REU Summary for Summers 2002 to 2004 --- Gender, Race/Ethnicity, Academic Level, and Academic MajorCategory Summer Summer Summers 2005 2006 2002 to 2004 REU Programs (LSAMP REU) (LSAMP REU)Totals 7 6