University’s “social capital” on behalf of selected projects. Page 12.1520.4In summary, VA is designed to encourage and assist with the formation of new, purpose-builtcompanies around technological discovery and to then invest the social capital of the Universityon behalf of these select newly formed companies to mitigate their risk of failure in the delicateearly years. To make this system work, VA has built a process that takes substantial care in theselection of technologies and faculty and student participants that receive this benefit. Theprogram then provides an intense amount of assistance in the early days of company operation asdetailed in
AC 2007-1680: TEACHING CHEMISTRY AS A CROSS-CULTURAL SUBJECT : IT& LINGUISTICSMargherita Landucci, Liceo Artistico StataleFabio Garganego, Municipality of Venice Page 12.1349.1© American Society for Engineering Education, 2007 Teaching Chemistry as a Cross-cultural Subject IT & LinguisticsAbstractThe main theme of this paper is the language of chemical formulae rather than the languagethat explains chemistry; the focus of our interest is the code used in writing chemicalformulae.The paper describes the nature and scope of a research project started by an out-of-schoolmultidisciplinary team who set up in 1993 and concluded
state all standards relating to the activity on thelesson plan in both the Science and Math content areas and also discuss them during the Institute.Another approach would be to discuss how these projects could involve both a math and scienceclass working together. An example of this could be the Rocket activity: a science class couldinvestigate effect of the water level and fins on the rockets, while a math class could focus on thealtimeter construction, measurements, and height calculations.Concluding RemarksThe outcomes of the GK-12 Institute for Teachers indicate that the primary goal of enhancingteacher’s abilities to use engineering related educational materials to teach science andmathematics is being met. Future Institutes may emphasize
the American Society of Engineering Educationhighly portable tool to high-schools for demonstrations, workshops and educational activities.The high-school students can be introduced to science through this visual tool at an early age.Postgraduate students teaching fluid mechanics classes at universities may have experience withPIV – and this is becoming more and more common. This tool will lead to exchange ofknowledge and experience with PIV and fluid mechanics between the students and theresearchers. Student projects using this tool can also lead to limited collaboration betweenstudents and researchers. Experiments performed by the students using FLOWEXTM can bedisseminated broadly through, presentations to other students in the same
AC 2008-1698: PREPARING GRADUATE STUDENTS TO BE SUCCESSFUL ASTEACHING MENTORS AND AS FUTURE PROFESSIONALSTershia Pinder-Grover, University of Michigan Tershia Pinder-Grover (tpinder@umich.edu) is the Coordinator of Engineering Graduate Student Instructor (GSI) Initiatives at the Center for Research on Learning in Teaching at the University of Michigan. She oversees the Engineering GSI Mentor (EGSM) Program, plans teacher training for new engineering GSIs, develops workshops and seminars, and consults with faculty and GSIs on pedagogy and engineering education research projects. Dr. Tershia Pinder-Grover earned her B.S. degree in Fire Protection Engineering from the University of Maryland and
Model (TAM) and examines the connection Page 14.688.6between the user, the possibility of the Linear Axis RDS as a learning tool, and the learningoutcomes. The model is an extension of assessment models conducted by the evaluation team inprevious projects [8].Technology Acceptance Model (TAM) is an extension to Fishbein and Ajzen’s [9] Theory ofReasoned Action that explains the relationship between attitude towards the technology andintention to use it. Theory of Reasoned action suggests that if a person is to perform a certainaction, it would depend upon his/her attitude towards that action, and how others would see it, asto whether or not he
Capstone project involve computational systems modeling and/or analysis? Rate your answer on a scale of 1-5 (5 being extensive, 1 being none). 16. How do you feel that your ability to build and/or validate computational models has changed since last August? Rate your answer on a scale of 1-5 (5 being greatly improved, 1 being gotten much worse).For the results presented questions 10-14, 125 corresponds to “very low preference” to “veryhigh preference” for a job involving the skill in question. (All other scores are as indicated onthe survey questions.) Table 1 below summarizes the weighted averages of the scores for all 14questions in Round 1 and all 16 questions in Round 2 of the survey. In both surveys, the resultswere split
definedas a “design challenge”. Now, you know, then maybe the most challenging one was this scaling exercise, that’s homework nine, where they tried to use all of the knowledge they had in class about what controls the performance. Those are the issues when you make the device smaller… According to Dr. Sanders, this activity not only served as a final project integrating allthe knowledge of the semester, but also it tried to imitate an industry design experience. … so this particular one, sort of integrates all of the knowledge in the course, and kind of explains, this is... if you are going to be a device-development engineer in Intel or something, this is basically what you are going to be doing, trying
Page 11.1208.5 • To teach students how to develop financial projections • To teach students how to integrate the various perspectives on the business conceptIn general, the business plan approach to entrepreneurship instruction is formulated around astandard business plan “outline”, which may look something like this: I. Executive Summary II. Product/Service Overview III. Market Analysis IV. Industry Analysis V. Competitive Analysis VI. Marketing Strategy VII. Operations VIII. Management Team IX. Financial SummaryThis outline is somewhat standard, although the actual classroom-based version will differ frominstructor to instructor and
Polytechnic Institute and State University Dr. Matusovich is an Assistant Professor and Assistant Department Head for Graduate Programs in Vir- ginia Tech’s Department of Engineering Education. She has her doctorate in Engineering Education and her strengths include qualitative and mixed methods research study design and implementation. She is/was PI/Co-PI on 8 funded research projects including a CAREER grant. She has won several Virginia Tech awards including a Dean’s Award for Outstanding New Faculty. Her research expertise includes using motivation and related frameworks to study student engagement in learning, recruitment and retention in engineering programs and careers, faculty teaching practices and intersections
evidence related to the knowledge gains associated with reflection activities in engineeringeducation, and it would be powerful to see the information about knowledge gains embedded inmore comprehensive research designs that connect the knowledge gains students report, thereactions they have to reflection activities, and more distal performance-based indicators oflearning (e.g., exam performance, design project success, job acquisition, employer satisfaction).We see the work reported here as helping the engineering education community build thecapacity to ask such questions.ContributionsThis work contributes to the conversation about the role and value of reflection in engineeringeducation. Specifically, the work has theoretical, empirical and
coursesubject. Using the course LMS to reinforce this education with items to read, tasks to complete,and a means of electronically collecting signed pledges of academic honesty is also a goodpractice across academia. However, some tools discussed here may not apply in all courses. Forexample, the randomized algorithmic questions work best with "bite-size" quantitative problemsrather than long multi-stage problems or more qualitative questions. Products such as Turnitin orSafeAssign can be helpful for evaluating students' writing assignments, but they won't help withan assignment to write code for a computer program to run. Some schools have developedmechanisms to evaluate coding projects for impermissible similarity, but that may not be capableof
). Moreover, mobile commercepenetration is helping to spur mobile payment adoption [15].The concept of mobile payments was first developed by Coca-Cola in 1997, using a RadioFrequency-Identification (RFID) terminal. This spurred innovation of several other methods ofmobile payment over the years, such as PayPal which was founded by eBay in 1998, to replacethe existing payment methods [4]. However, end user acceptance of mobile payments has fallenshort of projections. Although some regions of the world have found more success in mobilepayments adoption than for example Japan, China, and Turkey, Asia Pacific in particular leadsthe mobile payment adoption charts, with the highest level of confidence in these transactions at65%, and in 2016 China
through the CU Teach Engineering program. Additionally, she mentors graduate and undergraduate engineering Fellows who teach in local K-12 classrooms through the Integrated Teaching and Learning Program’s TEAMS initiative, is on the development team for the TeachEngineering digital library, and is faculty advisor for CU-Boulder’s Society of Women Engineers (SWE). Her primary research interests include the impacts of project-based service-learning on student identity, pathways and retention to and through K-12 and undergraduate engineering, teacher education and curriculum development.Dr. Janet Y. Tsai, University of Colorado, Boulder Janet Y. Tsai is a researcher and instructor in the Engineering Plus program at the
.96 .97 Q.2 Ask the right questions to get to the root of a problem .68 Q.3 Ask more questions than my classmates .87 .77 Q.4 Ask the kind questions that change the way others think about a problem Q.5 Ask questions that challenge fundamental assumptions Q.6 Ask questions to understand why projects or designs underperform Idea Networking I.1 Build a network of people for new perspective, refine my ideas .82 .79 I.2 Seek advice of students and faculty to test ideas I.3 Reach out
the KS2 survey may bedue to the timing closely coinciding with a project deadline. There may also have been somesurvey fatigue associated with the third administration of the survey. These two factors mightalso have negatively affected the time and effort invested by those students who did respond.Two additional observations are that there is a visibly stronger correlation for the highest-performing students and that the normalized survey score generally under-predicts the examresult for the lowest-performing students. Bell (2005) observed that higher-performing studentsappeared to be better at estimating their knowledge than lower-performing students and attributetwo explaining factors.1. Low-performing students are generally less capable of
communication, graduate students also reported they learned theimportance of reducing the amount of jargon used in communication: I learned about tailoring a message to a specific audience and how to explain complex technical subjects without using jargon. (Survey)Finally, the specific presentation skills that make for effective communication were alsofrequently reported by graduate students as an important communication skill they learned: I learned how to make clear and concise figures, graphics, and slideshows. I also learned a little more about projecting my voice and keeping good posture during a presentation. (Survey) [I learned] design and utilization of tangible 3D visual aids (atom models etc. ...) for
Paper ID #26007The Logic of Decision Making in Engineering Design: An Examination of De-sign Theories From A Logical Point of ViewDr. Soheil Fatehiboroujeni, Indiana-Purdue University Soheil FatehiBoroujeni received his Ph.D. in Mechanical Engineering from the University of California, Merced in 2018. As a postdoctoral researcher at Purdue University, School of Engineering Education, Soheil is working on a multi-institutional project characterizing governance processes related to change in engineering education, and pursuing other research interests in epistemology and design, among other philosophical topics in engineering
engineering major?and (2) Can you describe a time that you felt you did not meet these expectations? Additionally,they were asked to provide their email address if they consented to the possibility of beinginterviewed for our project. Nicole was one of 21 individuals who responded to this samplingsurvey to indicate her willingness to participate in the study.Mackenzie and Benjamin jointly interviewed Nicole at n location on her campus. Benjaminadopted a leading role in conducting the interview while Mackenzie asked questions in line withthe study’s objectives and within the flow of the interview. Benjamin and Mackenzie practicedthese interviewer roles in an earlier, unanalyzed pilot interview to ensure that their speaking andpresence was coordinated
results and their interpretations of these your model or solution? results How could [big idea] explain your results? Optimization How will you improve your solution? What are the results from your retest? Which solution best addressed the problem? How could what you know about [big idea] explain what happened?Context of the studyThis study is part of a larger project entitled, Science Learning through Engineering DesignPartnership and is situated within a multi-year, school and university, math and sciencepartnership located in the Midwest region of the U.S. The
connectionbetween parts one and two.The quantum dot data collection went very smoothly, and all three students were able tobuild a spreadsheet with their data and results without issues. It is possible that afreshman or sophomore may experience more difficulties when reading the theory andcollecting data due to less experience in a laboratory setting.6 AcknowledgementsThis project is supported by the National Science Foundation through the ATE program,Award No. ATE 1700695. Any opinions, findings, and recommendations expressed in thispaper are those of the authors and do not necessarily reflect the views of the NationalScience Foundation.References [1] Klaus D. Sattler, Ed., Handbook of Nanophysics: Nanoparticles and Quantum Dots - Google Books. Boca
difficult2 – Not very difficult3 – Somewhat difficult4 – Moderately difficult5 – Very difficult To develop the skill-set of researchers involved in this project who were new toqualitative methodology and to identify features of our presentation that facilitated or hinderedthe experts understanding the exam questions and coming to a consensus, we decided to conducta beta version of the focus group. In the course of the beta focus group and upon reflection, we decided to make thefollowing changes to our procedure for the official focus group: 1. Because the experts often ranked questions as being between two levels of difficulty, e.g. between a “2” and a “3,” we determined that a scale of 1 - 10 would be more useful for
Paper ID #21972The Challenges and Affordances of Engineering Identity as an Analytic LensMs. Christine Allison Gray, Northern Arizona University Christine Allison Gray is a doctoral student in the College of Education at Northern Arizona University. She also serves as a graduate assistant on the Reshaping Norms project in the College of Engineering, Forestry and Natural Sciences.Dr. Robin Tuchscherer P.E., Northern Arizona University Dr. Tuchscherer currently serves as an Associate Professor at Northern Arizona University where he has taught since 2011. Prior to academia, he accumulated eight years of professional
(NYU), NY, USA. During his period at NYU, Dr. Rahman served as the lead robotics instructor for the Center for K-12 STEM education, and leaded the implementation of a large NSF-funded project entitled “DR K-12: Teaching STEM with Robotics: Design, Development, and Testing of a Research-based Professional Development Program for Teachers”. During that time, Dr. Rahman received license from the New York City Department of Education to conduct robot-based K- 12 STEM education research in different public schools across New York City, trained about 100 public school math and science teachers for robot-based K-12 STEM education, and reached more than 1000 K-12 students across New York City. He then worked as an assistant