, Nittany Lion Club, ASEE, ASME, AIAA, AKC, GRCA. He has been honored with a LMC/KAPL Lead- ership Award, GE Phillippe Award, PSEAS Outstanding service award, Jaycee International Senatorship, and an ESM Centennial Fellowship.Mrs. Meg Handley, Pennsylvania State University, University Park Meg Handley is currently the Associate Director for Engineering Leadership Outreach at Penn State University. Previously, Meg served as the Director of the Career & Corporate Connection’s office at the Smeal College of Business at Penn State University. Meg is a PhD candidate in Workforce Education at Penn State, where she is focusing on interpersonal behaviors and their impact on engineering leadership potential. Meg is a
domains of legitimate external concern. Show action on the results of assessment. Emphasize assessment at the major transition points in a college career. Embed assessment in the regular curriculum.”A few of the major assertions of Pacific Crest’s6 work on assessment includes: Assessment focuses on improvement, not judgment. Assessment is a process that can improve any level of performance. Assessment requires agreed-upon criteria. Assessment should be used only where there is a strong opportunity for improvement. Assessment is effective only when the assessee uses the feedback.Another source of practical experience on assessment was published by the Advisory Committeefor Academic Assessment at Kent State7. They say
electrical engineering at the Electrical Engineering Department at UDC. Mahmoud is actively involved in research in the areas of reconfigurable logic, hard- ware/software co-design of a system on a chip using reconfigurable logic, application-specific integrated circuits (ASIC), digital logic design, image compressions, digital signal processing, computer architec- ture, embedded systems, system on a chip, and renewable energy.Dr. Esther T. Ososanya, University of the District of Columbia Dr. Esther T. Ososanya is a professor of Electrical and Computer Engineering at the University of the Dis- trict of Columbia, and the current BSEE program director. During her career, Dr. Ososanya has worked for private industry as a
6 shows a sampling of the available a lexical complexity and diversity indicators for theabove person over the course of the first three years of their professional engineering career, asgenerated using the software tool. The X-axis describes the name of the indicator and the Y-axisis a normalized percentage, which reflects relative sizes of the text data. Figure 6: Changing Lexical indicators for a single person over timeNote the common trend in the results. This is a side effect of how these lexical indicators areconstructed. They are essentially made of different combinations same linguistic feature‘building blocks’, as seen in 12, which means that the indicators are mathematical transformationsof one another. Our selection
lounges, and small size classes for general education courses.The intervention program aims to enhance HP participants’ educational and career opportunitiesby providing high-achieving admitted students with additional resources and guidance.Our focus in this study is on the HP’s admission or dismissal policies for UIC NFTF who arebetween their second and fourth semester of their studies. Therefore, we do not intend toevaluate the policies that are used to admit NFTF to HP when they enter UIC. In addition, we donot evaluate the policies for admission or dismissal of students from HP after their fourthsemester at UIC. The current admission rules for entering HP requires that a student’s UICCGPA be 3.4 or higher and a participant will be dropped
that are not readily available in textbooksor even on-line sources. Secondly, many design problems require the use of moderncomputational tools such as commercial or other software programs. Having been introduced tothe use of these particularly for solving heat transfer problems prepares them better for theirfuture career as practicing engineers. The modeling and simulation part of the project instills abetter understanding of how one implements the boundary conditions to the numerical solutionof a heat transfer problem as opposed to how boundary conditions are applied in the theoretical/analytical solution of the governing equation for simple problems that can be solved that way.This particular project also forced students to consider
use of microfluidics requires an understanding of several STEM topics, thusthe demonstration required the students to learn about polymers (and polymer chemistry), masstransfer, chemical reactions, and teamwork. This was accomplished by a combination of lectureand hands-on demonstrations. First, the students were split into groups of 2-4 (depending on thesize of the group) and tasked with coming up with (1) a definition of chemical engineering and(2) career options for chemicalengineers. This initial activity helpedto break the ice and get the studentsinvolved in the session in addition togetting them to think about whatexactly a chemical engineer does.Next, the students were introduced tothe topic of polymers, which includedquestions like
byadministering pre- and post- surveys in ENGR220 (Statics and Mechanics of Materials) andENGR221 (Circuits). There were 211 respondents at the beginning of the fall quarter, 2014, and99 respondents at the end of that term. In the winter quarter, 2014-2015, there were 185respondents at the beginning of the term and 50 respondents at the end. Table 4 shows thepercentage of students that agreed with the given statements regarding identity and self-efficacyat the indicated points in time. Table 4: Pre- and Post- Identity and Self-Efficacy Survey ResultsThese data indicate that these students generally feel comfortable with their choice ofengineering as a major, their identity as an engineer, and their prospects for a successful career
ofservices. For BOCES to offer a service it must be requested by two or more school districts andapproved by the New York State commissioner of education. Some of BOCES programs areinstructional or direct instruction in classroom settings. These include instruction services andprofessional development, career and technical programs for high school students, relatedservices for students with disabilities, and literacy programs and employment training foradults. The remaining programs are non-instructional support services that help school districtsreduce costs. This permits some districts’ resources to directly serve students. Examples ofsupport services include: management services, regional information centers, and state networks(http:/ /www.boce
research interests within computational intelligence include ensemble systems, incremental and nonstationary learning, and various applications of pattern recognition in bioinformatics and biomedical engineering. He is a member of IEEE, ASEE, Tau Beta Pi and Eta Kappa Nu. His re- cent and current works are funded primarily through NSF’s CAREER and Energy, Power and Adaptive Systems (EPAS) programs. c American Society for Engineering Education, 2016 PLANNING AND ASSESSMENT OF A WORKSHOP ON UNDERGRADUATE EDUCATION IN BIOMETRIC SYSTEMSABSTRACTBiometrics is the science of recognizing and authenticating people using theirphysiological features. The global biometrics market has a compound annual
market, and theoutstanding Department of Veterans Affairs (VA) education and disability benefits, and youhave a robust and rising student veteran population. Even with the low veteran unemploymentrate of 3.9 percent5, veterans are moving from trade-style jobs toward a career they feel matchesthe leadership, business, intellectual and people skills they have acquired and honed in themilitary. In order to accomplish this transition, veterans must return to school and earn a degree.Until recently, most of these veterans aspiring to return to college faced a huge hurdle, the costof tuition. Even with the traditional Montgomery GI Bill, these students would struggle to meetpublic university cost obligations, let alone covering the tuition at any
training and profes- sional development as well as various federally-funded STEM-focused programs at the post-secondary level. She has extensive experience in all phases of data collection (such as instrument development and administration, observations, focus group and individual interviews) as well as experience in site recruit- ment, developing logic models, quantitative and qualitative data analyses and reporting, and presenting results to a variety of audiences.Dr. Rebecca Eddy, Cobblestone Applied Research & Evaluation, Inc. Dr. Eddy received her doctorate in Applied Cognitive Psychology and has spent her career focused on ap- plying the principles of learning and cognition to evaluation of educational
presentation as for the examples of different types and contents of feedback. Participants were 12 experienced system engineers who attended the regional conference. Although they found the workshop useful, they mentioned that this workshop would be more helpful to early career engineers. • First-year engineering peer teachers (undergraduate teaching assistants) training: About 65 peer teachers were asked to provide feedback on the sample student team design work as a calibration exercise. At the end of each milestone, they were given some samples of educators’ feedback on the same design work. After all peer teachers provided feedback on all of the four milestones, their feedback was analyzed to highlight
, no longer a central focus, the course was redesigned with new learning goals.III. ENGR 2431 New Project-Based Course Design The idea to switch to a project-based approach in ENGR 2431 was first conceived at anOlin College workshop that focused on designing projects for better student engagement. Theidea of designing a project for ENGR 2431 that could benefit the students in other ways thanjust the Content Learning goal was ideal since these students were not ECE majors and thecontent learned in the course might not apply directly to their engineering careers. Based onthe topics covered in the course and the type of project that was envisioned, the followingfour learning goals were specified for the project designed for ENGR 2431
. Haynie, W. J. III, “Safety and Liability in the New Technology Laboratory” Technology Teacher , v69 n3 p3136 Nov 2009. 2. "Safety and Health in the Technical Classroom and Laboratory: Part 1," 2013, Techniques: Connecting Education & Careers , 88:2 pp.4447. 3. Jimenez, M., Romero, L., Dominguez, M., Espinosa, M.D.M., (5S Methodology Implementation in the Laboratories of an Industrial Engineering University School), Safety Science 78, pp. 163172, 2015. 4. Forest, C.R., Moore, R.A., Jariwala, A.S., Ngo, P., Quintero, C., “The invention studio: A university maker space and culture” Advances in Engineering Education 4 (2), 2014. 5. Barrett, T.W. , Pizzico, M.C. , Levy, B. , Nagel, R.L. , Linsey, J.S
preparation for anyethical situations that may arise in their future professional careers. Completing the entiremodule was worth a small portion of the students’ final grades, determined by the engineeringprofessor. Following the heuristics assignment was a student survey used to evaluate student opinion onthe ethics module and whether they found the module useful. The engineering professors andethics professors involved in implementing the modules were also asked to provide feedback onthe usage of the module.Results and DiscussionPhase one: in-class modules Throughout this two year study, case studies were used as the basis for assignments andethical thinking. Using case studies requires for the students to understand the situation andexplore
that offers acourse on embedded controllers or go to a micro-controller manufacturer’s web site and learn iton your own.Lastly, one would have to be totally off the grid to not be aware of the tremendous push forscience, technology, engineering, and mathematics (STEM) education. Since many of the jobs tobe created in the future are dependent upon knowledge in these areas, there has been a great dealof support from the National Science Foundation (NSF) for initiatives and special programs toboost the interest of students in these topics and to influence them to pursue careers in theseareas. This is not just a United States undertaking, it is a world-wide effort being undertaken byall the industrialized nations. Recently, new NSF programs like
problems. As a result of a five-year grant aimed toward improving first-yearretention, the first-year course was substantially revised in 2013 to focus on developingmathematics skills, based on the work of Klingbeil and colleagues1–3. This paper describes thesemost recent modifications to the course and presents results from students who took the modifiedcourse as they moved forward in their academic careers and took second year mathematics andscience courses. We collected data both in the form of grades and measurements of students’self-efficacy to explore how increasing mathematical content in the first-year engineering classcan improve students’ performance in both co-enrolled and subsequently enrolled mathematicsand science courses.The work
the School of Civil and Environmental Engineering at Oregon State University. His research interests include conceptual change and situated cognition. He received the NSF CAREER award in 2010 and is working on a study to characterize practicing engineers’ understand- ings of core engineering concepts. Page 26.703.1 c American Society for Engineering Education, 2015Examining Interruptions in a Student's Solution Generating Process for Indicators of Conceptual Knowledge Page 26.703.2AbstractAssessing a
Education. She is the recipient of a 2012 NSF CAREER award, which examines how engineering students approach innovation. She serves on the editorial boards of Science Education and the Journal of Pre-College Engineering Educa- tion (JPEER). She received a B.S.E with distinction in Engineering in 2009 and a B.S. degree in Physics Education in 1999. Her M.A. and Ph.D. degrees are in Science Education from Arizona State University earned in 2002 and 2008, respectively.Dr. Johannes Strobel, Texas A&M University Dr. Johannes Strobel is Director, Educational Outreach Programs and Associate Professor, Engineering & Education at Texas A&M, College Station. He received his M.Ed. and Ph.D. in Information Science
on Creativity and Innovation in theEngineering Design Process. 1. The trip to [the external training organization]! But not just because of how much fun it was, but because of what we learned and what privileges we were provided. 2. The exercises we did to promote better creativity. 3. The entire course and especially the trip was more than just seeing behind the scenes at [the external training organization]. 4. I feel so confident in my abilities to be creative and successful in my engineering career. 5. Learning about the inner workings of [the external training organization] and how to apply it to life everywhere. 6. I honestly didn’t believe creativity could be taught or worked on…. I have been
their professional career. However, there are much fewerattempts to introduce the theme of sustainability in first-year courses4,17, particularly in anengineering communication course.Graduate AttributesCommunication instruction at the Faculty of Applied Science started with a stand-alonemandatory second-year course, APSC 201: Technical Communication. The topics of this coursedid not include sustainability. At first the learning objectives were limited to CEAB graduateattributes outlined in Criteria 3.1.7 and 3.1.6: communication skills, as well as individual andteamwork skills. In 2010-11 they were expanded to include three additional attributes5 : 3.1.8
learners annually). Dr. Madhavan was the Chair of the IEEE/ACM Supercomputing Education Program 2006. In January 2008, he was awarded the US National Science Foundation (NSF) CAREER award for work on learner-centric, adaptive cyber- tools and cyber-environments. He was one of 49 faculty members selected as the nation’s top engineering educators and researchers by the US National Academy of Engineering to the Frontiers in Engineering Education symposium. Dr. Madhavan leads a major NSF funded effort called Deep Insights Anytime, Anywhere (DIA2) that attempts to characterize the impact of NSF and other federal investments in the area of science, technology, engineering, and mathematics education using interactive knowledge
engineering concepts can flow to a child allows us to see theconnection these abilities have to the child’s growth in knowledge of engineering and the child’spotential growth into a professional engineer. Analysis of the toys children are put in contactwith can help us gain a better understanding of how best to prepare children for potential careersby developing the skills most relevant to that career using toys. And although formal education iscertainly the primary avenue through which students will learn these ideas, the complementaryeffect of learning through play shows children how these normally-abstract topics can be appliedin real life.Research QuestionsWhile this study is primarily meant to explore how gender bias in the purchase of
were framed in the context of the engineering disciplineof the faculty member leading the module. The panel sessions were designed to provide studentswith an overview of engineering disciplines not represented by course instructors. Thus, ABE,CEE, CSE, ISE, and ME hosted panel sessions with two 45-minute panels held on each panel Page 26.867.10day. Suggested panel composition included a student, a faculty member, the undergraduate coordinator, and the department head, with final panel composition left to department heads’discretion. Each panel was asked to briefly introduce different concentrations available in theirmajor, typical career paths
in: engineering design, electromechanical systems, sensor technologies, power electronics and digital signal processing. His professional activities include: program chair of the Electrical and Computer Engineering Division of the American Society for Engineering Education; chair of a new IEEE program on Early Career Faculty Development; editorial board of IEEE/HKN The Bridge magazine; and ABET EAC program evaluator. Page 26.884.1 c American Society for Engineering Education, 2015 Impact of a First and Second Year Culminating Experience on Student Learning in an
Visualization involves perception of 2 Dimensional (2D) and 3 Dimensional (3D) shapes. Improving your 3D spatial skills has been shown to lead to higher grades in math, science and engineering courses, and is linked to success in 84 careers. This program is designed to improve your Spatial Visualization skills. The program consists of an Assignment Window and Sketching Window, with an orange starting dot in each as shown below: Assignment! Starting!dot! Window:! ! Sketching! Window
Neuroscience Lab at Stanford University and a Lecturer in the School of Engineering. Dr. Schar’s area of research is ”pivot thinking” which is the intersection of design thinking and the neuroscience of choice where he has several research projects underway. He has a 30 year career in industry as a Vice President with The Procter & Gamble Company and Senior Vice President and Chief Marketing Officer with Intuit in Silicon Valley. Dr. Schar has a BSS from Northwestern University, an MBA from the Kellogg School of Management and his PhD in Mechanical Engineering is from Stanford University. Page 24.1353.1
, student recruitment into and retention within engineering programs and careers, faculty teaching practices and intersections of motivation and learning strategies.Rachel McCord, Virginia Tech Page 24.1365.1 c American Society for Engineering Education, 2014 Wanna Take a Survey? Exploring Tools to Increase Undergraduate Student Response Rates to Real-Time Experience SurveysAbstractOur study explores the student perspective on approaches to real-time data collection surveysintended to be completed during classes. Real-time data collection means in the moment, whilelearning is happening. In
, implementation, and assessment of modeling and design activities with authentic engineer- ing contexts. She is currently a member of the educational team for the Network for Computational Nanotechnology (NCN).Krishna Madhavan, Purdue University, West Lafayette Dr. Krishna Madhavan is an Assistant Professor in the School of Engineering Education at Purdue Univer- sity. He is Co-PI and Education Director of the NSF-funded Network for Computational Nanotechnology (nanoHUB.org which serves over 330,000 global researchers and learners annually). Dr. Madhavan was the Chair of the IEEE/ACM Supercomputing Education Program 2006. In January 2008, he was awarded the US National Science Foundation (NSF) CAREER award for work on learner