Webster, T. J. & Dee, K. C. Supplemental instruction integrated into an introductory engineering course. Journal of Engineering Education 87, 377-‐383, (1998). 9 Litzler, E. & Young, J. Understanding the risk of attrition in undergraduate engineering: Results from a project to assess climate in engineering. Journal of Engineering Education 101, 319-‐345 (2012). Page 24.1404.12Appendix Workshop Proposal RubricThe workshop proposal process is intended to give you the
, theanalysis begins with the treatment of distributed loads as concentrated loads. Then, because themethod shown is readily repeated using distributed loading, we can assess whether thesimplification is sufficient.Overall, the analysis method consists of the following steps: Page 24.946.5 (1) apply a dummy load/moment, and solve for static support reactions, (2) write a moment equation in Macaulay form augmented with Heaviside step function variables, (3) take a partial derivative of the moment equation with respect to the dummy load and a second partial derivative with respect to the dummy moment, (4) re-write the moment equation
Paper ID #9816Optimizing your teaching loadDr. Edward F. Gehringer, North Carolina State University Dr. Gehringer is an associate professor in the Departments of Computer Science, and Electrical & Computer Engineering. His research interests include computerized assessment systems, and the use of natural-language processing to improve the quality of reviewing. He teaches courses in the area of programming, computer architecture, object-oriented design, and ethics in computing. Page 24.961.1
-439.17. Taleghani, M. & Mousavian, S. J. (2011). Determining the relationship between information technology and leadership style (case study: Navy Research Institute of Bandar Anzali in Northern Iran). Journal of Information Engineering and Applications. 1,(6), 5-15.18. U.S. Census Bureau - Indiana Quick Facts. Retrieved from: http://quickfacts.census.gov/qfd/states/18000.html201219. Watkins, J. & Mazur, E. (2013). Retaining students in science, technology, engineering, and mathematics (STEM) majors. Journal of College Science Teaching, 42(5), 36-41.20. Wenger, E., Trayner, B., & de Latt, M. (2011). Promoting and assessing value creation in communities and networks: A conceptual framework. Rapport 18
for school outreach visits, which they presented at theconclusion of the workshop in a showcase. Experienced engineering ambassador mentors fromthe four member schools were assigned to each team. The mentors worked with the teams Page 24.1014.6throughout the workshop to assist them in developing their presentation. 5 Pre- and post-assessments were done for those students who participated in theworkshop. In short, students self-reported statistically significant improvements in a variety ofpresentation skills: creation of content, establishing credibility, creating effective
section summarizes current perspectives on bestteaching practices and issues involving undergraduate success. One of the key benchmarkstudies on undergraduate education was conducted by Astin who collected longitudinal data onnearly 25,000 students at over 300 institutions to assess the influences of a range ofcharacteristics on the students' college experience.7 Factors critical to engineering educationspecifically were summarized by Felder8 in the following points: The quality of the college experience is strongly affected by student-faculty interactions. Smaller enrollments and lower student/faculty ratios both correlate with satisfaction with instructional quality, enrollment in graduate school, interest in college
detection Fig. 1. The overview of the research process on forensics readinessFirst, virtual Linux environments will be designed to simulate different online businessenvironment, which may be composed of the needed functional components of onlinebusinesses, such as web servers, file servers, email servers, as well as open source businessinformation systems. Second, a systematic approach will be developed to model attacks andinside activities. The vulnerabilities of virtual Linux environments will be assessed and thecorresponding threats will be identified. Threats will be systematically modeled by using attacktrees13, 20, 22 based on a set of known attacks exploiting the identified vulnerabilities existed inthe online
, error bars = 95% confidence intervalFuture formal assessment of these modules including pre- and post-testing for KAS acquisitionand enhancement will provide definitive quantification of their efficacy, but the qualitative andquantitative student satisfaction results coupled with improvements in final exam performance(data not shown) suggest that these simulation-based guided exploration modules may provide anadditional means for improving PD&C education in an easily transferrable manner. Ultimately,we intend to make these modules available to other PD&C students and/or instructors,potentially as a supplement to the forthcoming revision to Ogunnaike and Ray[13]. However, atthis time, we have not finalized the dissemination strategy
even trickier to assess but a pracademic often conveys through acombination of hands-on experiential lessons9.Like collaboration, pracademics intersect theory and research with coherent real-world practices.Stanford Researcher Curtis Carlson suggests that the only way to progress is “to learn the toolsof innovation” and to go headfirst into knowledge-based and science-based sectors7. The newtype of “thrivability” is rooted in technological innovation6. Indeed, integrating information andcommunication technology (ICT) is forging new paradigm shifts in collaboration that is at theheart of pedagogy and the educational experience inside and outside the classroom. As IWBsincrease in industry, the effectiveness is likely, as in classrooms4, the how
projects and a qualitative assessment of how engineering undergraduate studentsparticipating in such projects perceive the opportunity as a means to learn engineering skills. Inparticular, this paper will utilize an open-coding approach to identify emergent categories inpost-intervention student responses to questions regarding student learning and development asprofessionals and as members of society in general.IntroductionThe inherent civic responsibility that comes along with being an engineer has led manyengineering educators to expose students to engineering-specific service experiences. Service-based learning is a pedagogy in which students engage in activities that address societal needswhile simultaneously addressing learning outcomes
Australia who studythese systems in different curricular, institutional and cultural contexts, we aim to identifyunifying themes and develop generalizable understandings about supporting engagement andlearning in STEM. We focus on group settings in authentic contexts, where students mustintegrate and flexibly apply concepts and practices.The research teams use a variety of approaches, including ethnographic (video and audio)records of students and teachers engaged in STEM projects; design-based research on virtuallearning environments, material tools and assessment strategies; and controlled field experimentswith in-depth process analysis. Ultimately we are trying to answer the following researchquestions across projects: • What supports
quizzes and one LabVIEW questionon the final exam. 1. Students’ grades and their selection on the final question of the bonus quizzes are collected and organized in 2. Table II. 3. Students who answered both PID structure questions and PID parameter questions correctly were considered to achieve “100% correct” in Page 24.1149.12 4. Table II.In addition to the bonus quizzes and final exam question, the students’ self-perceived value ofthe synchronized robot project was assessed in a survey shown in Table I. The survey is on a 5point Likert scale where 5 is the most favorable response and 1 is the least favorable response.For
Ewell, P. (1997). “Organizing for Learning: A New Imperative.” AAHE Bulletin, 50(4), 3-6.11 Parilla, P.F. and Hesser, G.W. (1998). “Internships and the sociological perspective: Applying principles ofexperiential learning.” Teaching Sociology, 26(4), 310-329.12 Otero-Keil, Z. & Basantis, M. (2000). “An Industrial Internship Program to Enhance Student Learning and Page 24.1225.10Marketability.” Proceedings of the 2000 American Society for Engineering Education Annual Conference &Exposition, St. Louis, MO.13 Schuurman, M.K., Pangborn, R.N., and McClintic, R.D. (2008). “Assessing the impact of engineeringundergraduate work
. Glen’s educational research interests include student learning styles, the statistical evaluation of assess- ment instruments, and increasing student engagement with hands-on activities. He has received an NSF CAREER award and served as a Fellow at the National Effective Teaching Institute. c American Society for Engineering Education, 2014 The Innovation Canvas: An Instructor’s GuideTraditional approaches to design education have stressed technical aspects of solutiondevelopment, but have not integrated other critical components that are essential for creating thevalue that will bring success. As engineering education recognizes that emphasizingentrepreneurial skills are vital to
, VA:National Science Foundation2010 Oct. 20-21, 2010.6. Jablokow K, Purzer S, Ferguson D, Ohland M. Collaborative Research: Identifying and Assessing KeyFactors of Engineering Innovativeness. 2012.7. Crawley EFSL. Rethinking engineering education the CDIO approach. New York: Springer; 2007.8. Ferguson D, Ohland MW. What is Engineering Innovativeness? International Journal of EngineeringEducation. 2012;28(2).9. Flanagan JC. The critical incident technique. Psychological bulletin. 1954;51(4). Page 24.1247.1810. Dougherty D, Borrelli L, Munir K, O’Sullivan A. Systems of organizational sensemaking for sustainedproduct
implementation.Implementation using C on the DSK requires students to design the filter (e,g., using MATLABtoolboxes), consider the feasibility of the design (e.g., assess the filter length), implement thedifference equation, and then test the filter. We believe that knowledge gained through theseexercises is essential for successful use of the same functionality in GRC.Because the RTL-SDR devices provide I/Q samples at a high rate (up to 3.2Ms/s), real-timeprocessing in GNU Radio often requires decimation at various stages in the signal flow. Thetopic of multi-rate signal processing has not previously been discussed in our course. The topicwill now need to be introduced early-on. At a minimum, students must understand the keypitfalls associated with decimation and
, however, provided an opportunity toimplement and carefully assess feasibility of UnLectures. Out of the 10 students, 8 students hadcompleted at least 1 co-op rotation in the industry. Two students did not have prior co-op orindustry experience because the student transferred from a different major or institution thatdidn’t require co-op as a part of their degree requirements or the student chose to do an on-campus research co-op and has yet to pursue an industry co-op rotation. Each student without co-op experience is paired with an experienced peer for UnLecture-related activities. In this way,these students receive firsthand information on industry expectations and the nature of co-op.UnLecture I: Project Management and Team WorkThis is the
# Eastwood#Middle#School#Tours,#March#24,#18#students# 0.00# Interest/Enjoyment## Value/Usefullness# STEM#Interest/Value# Value#to#schools# Interest#in#FP#career# Difficulty#Level# Ques]ons#grouped#and#assessed#using#the#Intrinsic#Mo]va]on#Inventory#Theory#(IMI),#www.psych.rochester.edu/SDT/measures/intrins.hthml## Figure 3 Distribution of student responsesA total population included 625
] Hiremath, P. S., & Prabhakar, C. J. (2008). Symbolic factorial discriminant analysis for illumination invariant face recognition. International Journal of Pattern Recognition and Artificial Intelligence, vol. 22, no. 3 (2008) pg. 371-387. doi:10.1142/S021800140800634X[3] Chai, X., Gao, W., Fu, X., & Shan, S. (2003). Virtual face image generation for illumination and pose insensitive face recognition. Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on Issue Date: 6-10 April 2003. p. IV - 776-9 vol.4. doi:10.1109/ICME.2003.1221270[4] Beveridge, J. R., Bolme, D., Draper, B. A., & Givens, G. (2003). A statistical assessment of subject factors in thePCA recognition of
characteristic orkey word then a one was recorded for that student and that characteristic or key word. This wascompleted for all of the students and then totaled at the end. In addition to totaling the wholesample, male and female students were separated and analyzed as well.Assessment of Undergraduate Experiences Assessment of the undergraduates’ response to the outreach project was conducted withan open-ended individual reflection written after the outreach experience. The reflection wasframed as a “What Happened?” “So what does it mean?” and “Now what will you do?” promptinspired by a previous paper on outreach [4]. Page 23.909.5
chemicalengineering majors. The course is also open to juniors and other engineering / sciencemajors when space is available. It is a four-credit course, meeting twice weekly for twohours. This block schedule was adopted in order to allow flexibility in the use of classtime, as described below. It is a “permission” course, having no formal pre- or co-requisites listed, although the course relies on students’ coursework in mass and energybalances, heat transfer, thermodynamics, and chemistry to a significant extent.We wanted to have a food-safe laboratory available as part of this course so that studentscould not only prepare and assess food products, but also taste what they had made. Westrongly suggest that anyone wishing to bring this course to their
programmable controllers has shown promise in promoting creativity and the familiarmaterials help cultivate a more comfortable and productive experience17. A testing group wasassembled to assess if the first version of the PaperBots robotics kit functions as suggested bysuch findings and this paper examines the results of that case. Page 23.956.3PaperBots robotics kitThe first version of the PaperBots robotic module was custom shield for a Teensy, an Arduinobased microcontroller., and a reference image for the module is provided in figure 1. The shieldwas designed for single motor control as well as simple interface to the microcontroller usingrelatively
, the percentage of students who reported anxietyabout studying physics dropped from 61% to 42%. However, an accurate assessment will bedone by comparing the rate of success among physics jam participants to nonparticipants at theend of their first semester physics course.1. Introduction:Several studies show correlations between good high school grades in mathematics, academicpreparation, and success in introductory physics courses in college.1,2 Although our societysupports the model of preparing students for some kind of education after high school, studentsare often not ready to take college level classes once they graduate from high school.3 Manystudies have found that college preparatory courses in high school are associated with
workforce inSTEM related fields has a negative impact on the economy through symptoms such as decreasedcompetitiveness and less innovation.Many countries in Asia and Europe are surpassing the United States in STEM education in bothnumbers and qualities. Numerous assessments of high school and college student performanceranked the U.S. below 20th place in the world1. Both China and India have more engineeringstudents than the U.S. Even South Korea, a country with only a sixth of the U.S. population,generates as many engineering students as the United States30. The U.S. is gradually losing itscompetitive edge in the global economy to these countries that are able to produce more STEMtalent.Despite the national unemployment rate remaining above 8
. Borrego, M., Douglas, E. P. & Amelink, C. T. Quantitative, qualitative, and mixed research methods in Engineering Education. Journal of Engineering Education 98, 53–66 (2009).36. Strutz, M. L., Orr, M. K. & Ohland, M. W. in Engineering and social justice : in the university and beyond (Baillie, C., Pawley, A. & Riley, D.) (Purdue University Press, 2012).37. Trenor, J. M., Yu, S. L., Waight, C. L. & Zerda, K. S. Influences for selecting engineering: insights on access to social capital from two case studies. in 2008 IEEE Frontiers in Education Conference, 22-25 Oct. 2008 6 pp. (IEEE, 2008). doi:10.1109/FIE.2008.472025938. Bai, H. & Pan, W. A multilevel approach to assessing the interaction effects on college
the next phase of the research, direct measures of studentlearning are to be formulated. Survey forms are being carefully designed so that statistical data Page 23.1043.11can be extracted from the surveys obtained from various classes. Pre-course questionnaires focuson the goals and expectations of the students, and their background. End of course surveys givethe students an opportunity to express their views of the course materials and of the instructionalactivities that is based on the Active and Cooperative Learning methodology. So far not enoughdata has been gathered for a statistically significant report. The results from such assessment
. Page 23.1077.8The impact of the Remote Lab on students learningIn order to assess the effect of the Remote Lab on student learning, three actions were taken afterintroducing the Remote Lab to the class: I) an online survey was conducted to analyze students’feedback regarding their perception on their learning style; II) another online survey wasconducted with open-ended questions about the students’ learning within the Remote Laboratorycontext; and III) a written final exam was applied to measure the students response to practicalengineering problems including Transient State. I) Students’ perception of their learning styleAccording to Felder (1988), a student’s learning style may be defined by answering fivequestions: 1) What type of
prototypes. The designprojects are a total of at least 30 hours of in-class work (one-third of the course).The course aims to teach students how to:1. Use the design process well in all the course projects, ability to extend the design process togeneral problem solving, and assess the value of creativity in the engineering design process.2. Develop basic skills in 3-D solid modeling CAD (Computer-Aided Design) using SolidWorks.3. Acquire 3D visualization skills to draw and communicate design ideas and concepts.4. Contribute to team-based projects, solve inter-team problems and develop communicationskills.5. Produce a well-organized reports and virtual portfolios summarizing design project work3 Overview of Engineering Design ProjectStudents are
as Means to Increase Achievement Scores in an Informal Learning Environment. Journal of Research on Technology in Education, 39(3), 229-243.2. Welch, A. G. (2009). Using the TOSRA to Assess High School Students’ Attitudes Toward Science After Competing In the FIRST Robotics Competition: An Exploratory Study. Eurasia Journal of Mathematics, Science & Technology Education, 6(3), 187-197.3. McGrath, E., Lowes, S., Lin, P., & Sayres, J. (2009). Analysis of Middle-and High School Students’ Learning of Science, Mathematics, and Engineering Concepts Through a LEGO Underwater Robotics Design Challenge. American Society for Engineering Education Annual Conference, Austin, TX, June 2009.4. Merriam, S