online resources were very helpful for learning and studying for tests”.As we move on with the project, we plan to keep integrating the supplemental material on theweb page, and systematically collect data to help in quantifying how the approach impactsstudents’ success.Bibliography[1] Y. Tsividis, “Teaching Circuits and Electronics to First-year Students,” Proceedings of the IEEE InternationalSymposium on Circuits and Systems, 1998, pp.424-427[2] R.D. Middlebrook, “Analog Design Needs a Change in Perspective.” Electronic Engineering Times. October 7 th,1991. pp. T5.[3] R. Howe and C. Sodini, Microelectronics. An Integrated Approach, 1997. Prentice Hall, Upper Saddle River,New Jersey. [4] B. Razavi, Fundamentals of Microelectronics. 2nd
onrole and development of faculty.Many researchers and educators have worked on various faculty development activities. Vachlon,et al. argue that faculty development is critical and suggest periodic training on the latestteaching and research methods 2. Dirk points out that there are several programs to supportprofessional qualification, development, and/or recognition for those teaching in highereducation3. Felder and Brent have been conducting faculty development workshops under theauspices of ‘The National Effective Teaching Institute’ (NETI), which have proved to be hugelysuccessful4.Vaz found that the performance of the faculty, who advised off-campus interdisciplinaryresearch projects, was better than their peers 5. Faculty Development
the manufacturer, operator and/or other connected devices. A simple IoT buildingblock is shown in Figure 1. Each object within the network is uniquely identifiable, can beaccessed through a network and can be controlled using lightweight software. Though IoT is stillemerging, there have been such projections that as many as 100 billion IoT devices would beinterconnected by 2025 with a global economic impact of more than $11 trillion. This is largelydue to the anticipated IoT impact on agriculture, healthcare, energy management, security, etc. OBJECTS/ APPLICATIONS CLOUD THINGS Figure 1: A simple IoT
and corporate instructors.Dr. Katharyn E. K. Nottis, Bucknell University Dr. Nottis is an Educational Psychologist and Professor of Education at Bucknell University. Her research has focused on meaningful learning in science and engineering education, approached from the perspec- tive of Human Constructivism. She has authored several publications and given numerous presentations on the generation of analogies, misconceptions, and facilitating learning in science and engineering educa- tion. She has been involved in collaborative research projects focused on conceptual learning in chemistry, chemical engineering, seismology, and astronomy.Dr. Margot A. Vigeant, Bucknell University Margot Vigeant is a professor of
ETAC of ABET and is on the editorial board of the Journal of Engineering Technology.Prof. Robert De La Coromoto Koeneke, Daytona State College Robert Koeneke is an Associate Professor of Electrical Engineering Technology at Daytona State College. He received his B.S. in Electronics Engineering from Universidad Simon Bolivar in 1977 and his M.S. in Computer Science from Santa Clara University in 1982. His 34 years of professional career covers: teaching at undergraduate and graduate level, planning, developing and managing project in the areas of Telecommunications and Information Systems. His research interest includes embedded systems, digital programmable devices and computer communications. He is a member of IEEE
, MATLAB programming, etc.) Computer project and oral presentation Working additional material and energy balance problems (in class) to supplement the course material in a much smaller setting.The responsibilities of the peer mentor included: Support the goals, expectations, and mission statement of the Office of Undergraduate Education Help students become familiar with university resources; advise and refer students to appropriate university resources, as the need arises Work with university staff and faculty to create a supportive, inclusive environment for new transfer students Maintain two consistent hours of time per week when available to students in the Transfer Seminar course
the Arduino station and Khan Academy asespecially useful. The time spent collaborating on lesson planning was always useful, and all ofthe teachers reported the lesson planning time was extremely meaningful and productive.Interestingly, each participant’s suggestion for improving the March 2015 session was unique.Those comments that pertained to what happened during the session included: 1) adding anopportunity for participants to share their projects and hear what each had “learned/playedwith/could see themselves incorporating into the classroom;” 2) offering fewer activities and“having another computer science 'expert' on hand to help with coding questions when we aretrying to make our own model/lesson;” 3) providing time to review the
activities can also automate gradingroutines and facilitates unique testing environments with variable content generation [3]. This isa powerful tool that enables the instructor to create unique assignments, and facilitates for quickand efficient grading of complex configurations.3. ConclusionsInstead of having to choose using either PT or GNS3 for network development, it might be aneven better idea to use them both together. As previously discussed, both programs target distinctaspects of an overall project, and can be used to complement each other. PT can be used to createa networking plan that incorporates the internal and external functions of a network. PT couldfurther facilitate ease of assessment and automated grading. GNS3, on the other hand
) sometimes/occasionally, (D)very little, (E) not at all/never.What is your exposure to nanotechnology? I have: 24) Heard the term nanotechnology. 25) Read [something] about nanotechnology. 26) Watched a program about nanotechnology. 27) Had one [or more] instructors/teachers talk about nanotechnology in class. 28) Participated in an activity involving nanotechnology [lab, project….]. 29) Taken a class about nanotechnology.30) When you hear the term nanotechnology, what length scale “typically” comes to mind? (1) 109 m (2) 106 m (3) 103 m (4) 101 m (5) 10-1 m (6) 10-3 m (7) 10-6 m (8) 10-9 m (9) None of the above
developed to date. However, time andphysical space have shown to be a challenge to implementation. Initially, it was envisioned thateach ENGR 1110 section would eventually teach two Grand Challenges a semester. In order toretain other important class features such as the design project, one grand challenge per semesteris more realistic. Now that initial module development and testing has been performed by the PIsand evaluator, the goal is to engage more faculty in implementation and evaluation. This willfacilitate institutionalization and provide more information on the effect of the modules onnanotechnology knowledge, perceptions of engineering as an altruistic profession, and intent topersist in major. The existing modules will be incorporated
; demonstrating a positiveattitude toward injury prevention and environmental protection; and regulatory and specialinterests.Desired skill sets or knowledgeParticipants were asked to identify skill sets or knowledge they wish new technicians orengineers had that they don't currently have. The most commonly mentioned needs included: Programmable logic controller (PLC) and robot controller programming Soft skills, such as work ethics, customer service, effective communication, conflict resolution, time management, project management Troubleshooting Safe working practices Electrical knowledge - basic single and three phase electrical knowledge; higher voltage power; electric motors and drivesAlso mentioned were CNC
on managing creativity and innovation in the area of nano-enabled technologies.Prof. Bryan Douglas Huey, University of Connecticut ˜20 year scholar working with nanotechnology, especially the characterization of materials properties at the nanoscale by applying and advancing variations of Scanning Probe Microscopy.Dr. Leslie M Shor, University of Connecticut Leslie Shor is an Associate Professor of Chemical and Biomolecular Engineering at the University of Connecticut. She mentors an interdisciplinary research team working at the interface of chemical engi- neering, microbiology, and advanced manufacturing. Current projects in her lab are focused on gradient bioengineering for next-generation biofuel production
the end of first semester only26% of the cohort had a GPA of 3.5 or above and 44% had a GPA of 3.0 or above.Justification of Variables Used to Create the Step Out to Stars Framework The review of literature presented here shows interest in engineering is a key reason thatstudents choose to study engineering, while loss of interest is also a key reason students leaveengineering. Since the other top indicators of value explored in the literature, job outlook orsalary projections for engineers, are not mentioned in studies investigating why students leaveengineering, interest is a logical measure of value to use when looking at engineering students’decisions to leave or to continue to study engineering. In fact, the justification for
used throughout the course, and how they are projected from the three dimensionalsurface. Using the white board, the 2-d diagrams are drawn, and terms such as isobar, isotherm,and vapor dome are introduced. Time is spent on phase change and the how the areas from the3-d surface correspond to the 2-d diagrams. It is important to point out that one key componentof correctly identifying values for the properties of the substance is to first be able to identify thephase, or fix the state, of the substance. For these types of substances there are 5 distinct phasesthat are identified: compressed (or subcooled) liquid, saturated liquid, saturated mixture,saturated vapor, and superheated vapor. The saturated mixture phase is where both saturated
the subsequent groups. Transfer-GEMS cohortparticipation for the 2014-2015 academic year (AY) is further illustrated in Figure 1. From thispoint will we refer to those participating in the program as “Transfer-GEMS” and all otherCEFNS transfer students as “Transfers”. AY 2014-2015 Figure 1. Transfer-GEMS Cohort 1 participation diagram.Theoretical FrameworkThe overarching theoretical framework of this project is linked to Bourdieu’s29 cultural capitalframework, that the “relevant knowledge, information, skills, and resources that individuals cangain that are as valuable as monetary resources” and his theory of social capital, made up ofsocial ‘connections’.30 Bourdieu’s framework
student perspectives and experiences guidedthis research on investigating the efficacy of many practices. As a result of successfullycompleting the project goals, a model from the graduate student perspective defining variouspractices, procedures, and policies proven to support the success of broadening participationefforts and underrepresented minority student success in STEM graduate education programswill be established. The establishment of the model is significant and will allow for nationaldissemination and improvement of program support for underrepresented minority graduatestudents in STEM fields.MethodologyParticipantsApproximately 91 students (N=91) nationally from 16 universities (Figure 1) primarily in theage range of 22-32 years
. AcknowledgementsThe authors are grateful for support provided through NSF MRI grant 1337787 and SyracuseUniversity, which enabled us to establish the core facility on campus and continues to providesupport for its operation. Dacheng Ren also received a Faculty Excellence Award from theCollege of Engineering & Computer Science at Syracuse, University which has supported thefacility in its educational outreach. We also thank the Sorenson lab at the University ofCopenhagen for sharing the donor strain, E. coli CSH26/pKJK10. References 1. Duderstadt, J. Engineering for a Changing World. The Millennium Project, University of Michigan (2008). 2. Harris, TR, JD Bransford, and SP Brophy. Roles for
and beliefs about engineering? 2. Do engineering perceptions or personal career values correlate with commitment to an engineering major? 3. Are these relationships present in a latent model?Methods This study used a causal-comparative quantitative design to compare differences in thefocal constructs (values, perceptions of engineering, and commitment to engineering) betweenmen and women. We administered a survey on engineering attitudes to a large sample of first-year students enrolled in a pre-engineering introductory course at a large four-year, researchfocused institution. The survey, which was administered as part of a larger project, includedscales related to students’ attitudes about engineering. In addition
students in this study.This study included a few outcomes and conclusions that would be helpful to engineeringtechnology education practitioners, they include: At the start of the research only 10% of the engineering technology students knew how to find technical information in the library. Reflective comments and post-test results indicated that the assignment exposed all of the students to literacy skills, with most exhibiting skill improvement. Students practicing the newfound skills earlier in the project were more successful in demonstration of those skills than students that waited. Unstructured topics were difficult for these students to deal with; some were concerned about the quality of
Nonlinear Dynamical Systems. He previously worked on projects related to dynamic routing of emergency vehicles, modeling consumer sensitivity for product de- sign and perceived usability, dynamic control charts in statistical process control, application of evolving self-organizing maps, etc. His current research interests include prediction of nonlinear chaotic system involving human emotion in social media, difference in muscular exertion in different ethnic workers in automobile industries, simulation, and advanced application of statistical techniques. Dr. Sapkota is a Certified Six Sigma Green Belt. c American Society for Engineering Education, 2016 Quality Matters: Developing of
Paper ID #16303Don’t Look at Your Shoes! Getting Engineers and Scientists to Engage withAudiencesDr. Scott A. Morris, University of Illinois, Urbana-Champaign Dr. Scott A. Morris received his PhD in Agricultural Engineering in1992 from Michigan State University and has worked in industry both directly and as a consultant on a wide range of projects. Based at the University of Illinois since 1992, Dr. Morris developed a nationally-recognized research and teaching program, and was one of the first faculty members to offer asynchronous computer-based online content. Dr. Morris teaches engineering courses both on the Urbana
Electron- ics and Telecommunications Research Institute as a senior research engineer. Currently, he is actively guiding various research projects funded by National Science Foundation, Pennsylvania Department of Health, and Department of Defense. His research interests include stochastic optimal control theory, sensing systems, and virtual laboratory assistant. c American Society for Engineering Education, 2016 Effectiveness of a Virtual Open Laboratory Teaching Assistant for Circuits Laboratories Firdous Saleheen, Zicong Wang, William Moser, Vira Oleksyuk, Joseph Picone, Chang-Hee Won Department of Electrical and Computer Engineering
disparate topics in higher education.Beyond the issues of language and business partnerships, additional examples of neoliberalism inhigher education include the lax regulation of for-profit colleges and the cost benefit analysisimplied when politicians like President Obama or Senator Marco Rubio respectively opine thatstudents should forego art history degrees in favor of manufacturing jobs26 or philosophy degreesin favor of welding.27 Regarding for-profit colleges, few things could be more consistent withneoliberalism than the notion of removing governments from the education realm in order toallow private corporations to experiment with their projects as with for-profit colleges. Thedownside arises, in standard fashion, when these institutions
supporting faculty with development of effective learning and teaching pedagogies.Ms. Adrienne Steele, Louisiana State University Adrienne Steele has over 15 years experience in STEM education. Currently, Adrienne works at Louisiana State University in the College of Engineering, managing all aspects of the STEP project that consists of a large-scale peer mentoring program. Previously, she coordinated the Scope-On-A-Rope Outreach Program (SOAR) in the Department of Biological Sciences for 10 years with funding from the Howard Hughes Medical Institute. In this position, she led over 175 professional development workshops for K-12 teachers. Prior to her positions at LSU, Adrienne was the Science Education Curator at the
Charles B. Murphy Teaching Award (Purdue University), Purdue’s Help Students Learn Award, the Special Boilermaker Award (given here for contributions to undergraduate education) and is the 2011 recipient of the ASEE Mechanics Division’s Archie Higdon Distinguished Educator Award.Dr. David B. Nelson, Purdue University, West Lafayette David B. Nelson is Associate Director of the Center for Instructional Excellence at Purdue University. He received his Ph.D in World History from the University of California, Irvine in 2008 David has been involved in many educational research projects at Purdue, including published worked in the programming education, student engagement and academic performance in dynamics engineering
data blocks when building cash flow tables. These data blocks define the values of allvariables, and then the table is built with formulas that reference data block cells. Figure 4. Newnan Figure B-1, p. 589Park 6th frequently included a graph of project balance/amount owed in introductory TVMspreadsheets (see Figure 5). Figure 5. Park Example 3.8, p. 77 White et al. 6th and White et al. Fundamentals include the highest percentage of spreadsheet inclusion. Both texts also make frequent use of SOLVER and GOAL SEEK, even in the very early chapters, as shown in Figure 6. Figure 6. White Fundamentals Example 2.4 p. 32Coverage of Financial
: Visualization of Rotations) for secondary and under- graduate students, developed the TESS (Teaching Engineering Self-efficacy Scale) for K-12 teachers, and rescaled the SASI (Student Attitudinal Success Inventory) for engineering students. As a program evaluator, she evaluated the effects of teacher professional development (TPD) programs on elementary teachers’ attitudes toward engineering and students’ STEM knowledge through a NSF DRK-12 project. As an institutional data analyst, she is investigating engineering students’ diverse pathways to their suc- cess.Dr. Johannes Strobel, University of Missouri Dr. Johannes Strobel is Full Professor, School of Information Science & Learning Technologies at Uni- versity of
personal networks, as well those of our project advisory board members. Due toour focus on the participants’ personal testimonies of their unearned advantages anddisadvantages, we chose not to select or reject any participant based on our perception of theirrace, gender, sexual orientation or any other demographic characteristic. In an effort to be opento the unseen dimensions of participants’ experiences, we are not making assumptions abouttheir realities. To date, some participants revealed how they self-identify with traditionaldemographic characteristics during their testimony, while others did not.MethodsThroughout our entire research process, we utilize the quality management framework developedby Walther, Sochacka, and Kellam as a guide for
, medical students, andclinicians (orthopaedic surgeons, physical therapists, and general practitioners). Each programcan accommodate up to 40 students. Students are recruited through STEM non-profit affiliates,e.g., Project Lead The Way, Girl Scouts, and via social media and contacting large, urban schooldistricts. Students apply online through the program’s website and are selected based on thequality and composition of two essays. Academic performance, e.g., GPA, class rank, or APcoursework, is purposefully not considered in the application. Racial information is collected atthe time of application; however, it is blinding during the selection process and only analyzedafter students are notified of their acceptance to the program. Results of
example, 15 million people use the Starbucks mobile phone application whichgenerates 5 millions transactions a week, thus making Starbucks “one of the most successfulsoftware companies on the planet2.” As another example of a company with headquarters inSeattle, Nordstrom’s has nearly 1,000 employees working in their tech unit. Similar storiesabound, resulting in the Puget Sound region being one of the most vibrant in the country forSTEM-related employment. Nevertheless, growth is often accompanied by challenges and thecurrent gap between the number of job openings and qualified employees is projected to increaseto 50,000 positions by 20171.Several large companies have the resources to seek talent from around the world, but this is morethe