in most engineering programs over the last decade. Many studentsdecide to pursue a career in electrical engineering based on counselor advice, performance inmath, while others may like to work with electrical gadgets and decide that electrical engineeringis the right path to pursue. However, most of these students are not exposed to the electricalengineering profession and practice thereof. Some of the students enter the program expecting to Page 23.187.2start building circuits and programming microprocessors at the very beginning of their education.However, in most programs they face a tough time working through theoretical courses
. Page 23.191.2Given this great loss of potential engineers, the Kern Family Foundation (KFF) has partneredwith several engineering institutions to implement means by which to raise the success rate ofstudents throughout the course of their engineering career starting at the educational level first byevaluating students with a trimetric analysis tool developed by TTI. As one of the KEEN (KernEntrepreneurship Education Network) institutions embracing this challenge, MUSE has alreadybegun to make a step forward towards optimizing its level of undergraduate academicachievement by providing 104 enrolled students with TTI’s trimetric survey tool in the academicyear 2011-2012.BackgroundGenerally speaking, most institutions only address subject-matter
conference papers. He has mentored four doctoral students, eleven masters students, 25 undergraduate research students, and eleven undergraduate senior design project teams; over 300 K-12 teachers and 95 high school student researchers; and eighteen undergraduate GK-12 Fellows and 53 graduate GK-12 Fellows. Moreover, he directs K-12 education, training, mentoring, and outreach programs that currently enrich the STEM education of over 2,000 students annually.Dr. Magued G. Iskander P.E., Polytechnic Institute of New York University Dr. Magued Iskander is a professor of Civil and Urban Engineering at NYU-Poly. Dr. Iskander is a recip- ient of NSF CAREER award, Chi Epsilon (Civil Engineering Honor Society) Metropolitan
. Lack of self-efficacy then inturn results in problems with technical problem solving11. In line with this notion, womenpossess less self-efficacy than men which leads to lower self-assessment of their problem solvingskills and competence as future engineers12. The self efficacy of female students is related to theretention as freshmen and their persistence in engineering13,14. When entering into engineering,female students have less confidence in their ability to succeed in engineering15. Research hasshown that the level of self-efficacy affects career choice as it pertains to science education16, 17.ReflectionsExtended reflection facilitates the creation of complex, connected mental schema.Designingcreative learning experiences helps develop
careers; however,identifying and tracking these had not resulted in improved situations at most of thoseinstitutions.1 Prior to submitting the proposal similar documentation efforts had been ongoing atthe University of Maine. A 1992 internal report proposed ways to increase women faculty inscience and engineering. In 2003 the Office of Equal Opportunity concluded that for facultymembers hired in the 1980’s, men were significantly more likely to have been promoted toProfessor. One major issue identified in the literature involves the persistence of implicit biases,which are held by both women and men and which lead to individuals privileging male faculty
.pdf3. Adelman, C. (1999). Women and Men of the Engineering Path: A Model for Analysis of Undergraduate Careers. Washington, D.C., U.S. Government Printing Office.4. Mattis, M. and Sislin J. (2005). Enhancing the Community College Pathway to Engineering Careers. Committee on Enhancing the Community College Pathway to Engineering College Pathway to Engineering Careers, Committee on Engineering Education, Board on Higher Education and Workforce, National Academy of Engineering, National Research Co. National Academies Press. Retrieved December 2012 from http://www.nap.edu/catalog.php?record_id=114385. CCST (2002). Critical Path Analysis of California’s Science and Technology Education System. Riverside, CA: CCST
The results for Question 1 shows that six students understand the engineering design processmuch better after finishing their project compared to other projects they encountered during theirstudent career. Question 2 was aimed to see how students perceive their previous knowledgegained from course work that was required for this project on a comparative basis to previousprojects the students took. The results show that the majority of students perceived that they hadto use more knowledge from previous coursework for this project compared to other projectsthey were involved in previously. For Question 3, eight out of nine students rated theirexperience with their project as good or very good.The results from Question 4 show that eight out of
of the manufacturing field. 2. By identifying respondents with their focus among six different types of academic programs, the survey responses provide insights on the differences in relative importance of the large number of topics that make up the manufacturing field. 3. The survey results show that there are meaningful differences among the variety of types of manufacturing programs and that the Four Pillars model is useful in curriculum planning. While not being prescriptive, the model can help educators tailor their programs to meet the needs of the industries served and the career expectations of their graduates.The Four Pillars of Manufacturing
important time for developing education and career goals. The majority ofstudents majoring in science, technology, engineering, or math made that decision during highschool.17Many high schools contribute to the low numbers and gender imbalance through non-existent CScourses or by mislabeled non-CS offerings, such as keyboarding, with the CS label. High schoolsalso often lack teachers trained in the CS subject area, are unaware of the gender issues incomputing, and engage in minimal efforts to recruit students into CS. Numerous calls forimprovement point to a need for: ● Access to high quality computing experiences, ● Public understanding of what computing really is, ● Course content, ● Teacher training, ● Education policies
and motivation for this project of mechanical engineering curriculumevaluation with respect to manufacturing knowledge requirements, an investigation of the range Page 23.1201.6of accredited programs available in the state of Michigan to train students for mechanical andmanufacturing engineering work was performed. Currently, there are only two institutions thatoffer accredited manufacturing engineering degrees (Grand Valley State University in GrandRapids and The University of Michigan – Dearborn). Not all students who anticipate a career inmanufacturing will have access to programs that specifically train students in the
textbook or notes. There were very few“give up” type of responses (one “cry”), which gives hope to having successful students with“grit”, that will overcome obstacles and persevere.26 Figure 12Students' Perceptions on Professional SkillsSeveral questions relate to professional skills in looking at their work ethic, management of timeand coping with the upcoming challenges of engineering problem solving. Engineers needtechnical skills but equally important for their careers, they need a broad set of professionalskills. Students and faculty both understand that time management skills are absolutelymandatory. Students were therefore asked, beyond time management, for their perception ofwhat other skills
students’ educationalpreparation. There may also be a lack of the faculty’s confidence in instruction students in usingsuch open-ended experiences [33]. By developing problem-solving skills, it is logical thatengineers will become more adept at troubleshooting problems. Research on troubleshootingproblem-solving has shown that experienced engineers differ from poor engineers’ primarily intheir strategizing to solve troubleshooting problems. Also, researchers have done studies on howto improve the troubleshooting performance of technicians in strategizing to solve a problem [12,13] . However, to date, much of the research has not been implemented as a part of the curriculumof technical engineering careers. Therefore, it is necessary to focus on
(82%) Student attitudes and/or interest in STEM (68%) Student STEM achievement, content knowledge, and/or understanding (64%) Page 23.1279.9 Student understanding of technology, engineering, and/or science processes (61%)The informal programs place their primary emphasis on interest, attitudes, motivations, andbehaviors toward STEM learning. Formal programs tend to focus more on content knowledgeand processes, often tied to meeting specific standards and/or raising achievement in the STEMdisciplines. Increasing the STEM career pipeline is also a common goal for the programsreviewed for this study, but specific data to
conferences such as American Education Research Association (AERA), American Society for Engineering Education (ASEE), WebMedia, and WebNet, etc.Dr. Jane A LeClair, Excelsior College Dr. LeClair is currently the Dean of the School of Business and Technology at Excelsior College in Albany, New York. Dr. LeClair, whose career in the nuclear industry has spanned two decades, has worked in various management positions for Constellation Energy. A past Chair of the ANS ETWD division, she received the ANS Training Excellence Award and is the current and past chair of the ANS Conference on Nuclear Training and Education. She is a past ASEE Regional Chair and chaired the ASEE regional conference in 2011. She also is the
-other focus, and then again during the second half for further relationship building. Met with the peer mentor bi-weekly to monitor progress of FIG members and intervened as needed to guide and encourage group members. Maintained the role of academic advisor throughout the entire first year and will continue through the academic career of each FIG member in most cases (unless they change major).Peer Mentor Peer mentors (locally called peer advisors) were selected by the faculty mentors, FIG Director, and the Director of Student Achievement. Each peer mentor was compensated for about 5 hours/week for FIG work. Attended the Success4Students seminar with the FIG members. Met with the FIG
understanding that these tasks need to be done in order to for the classroom to work and I wanted the classroom to work because I’m trying to help students.Gus got more interested in teaching after this TA position: Page 23.588.12 I never considered education as a career path before I got this job, but more and more I start to think well, you know, … I am getting more and more interested in academia and higher education specifically because… of the experiences I've had learning from students and having them learn from me and I feel like that's a valuable exchange that goes on and I would like to be a part of that in a
women and different ethnic engineers is not the correct solution. While there are a low percentage of women and different ethnic engineers, I believe that they made a choice to choose another profession rather than they felt pressured to not be a STEM career.” “Pertaining to diversity in the engineering field, I feel that we have little impact on that. Maybe ten to thirty years ago, there might have been some real prejudice against women or minorities in the classroom or the fact that they feel like they wouldn't be as good as men. However, in today's age, I feel like those barriers are almost down. I don't often hear things like, "He's smarter because he's white." An individual is more intelligent based on nothing more
theprogram.The mechanical engineering program at the University of Wisconsin - Platteville (UW -Platteville) has a collaborative program relationship with thirteen two-year Colleges that allowsany student who has achieved an associate’s degree to stay at their two-year Colleges campuswhile obtaining a mechanical engineering BS degree from UW - Platteville. This programincreases educational access to nontraditional, place-bound students across the state.Preliminary results of a longitudinal study involving grit in nontraditional and traditionalstudents are presented. While the longitudinal study involves following students throughouttheir academic career, this study compares grit scores between groups of students at differentacademic stages. Traditional
development skills were important in theirprofessional careers. Finally, it should be noted that the majority of the interviewed studentscited their professor and TAs as important aspects of their experience in the course in futuresemesters.References 1. Barkley, E. F. (2010). Student engagement techniques: A handbook for college faculty. San Francisco: Jossey-Bass. 2. Angelo, T.A., and Cross, K.P. (1993). Classroom Assessment Techniques, 2nd ed. San Francisco: Jossey- Bass. pp. 148-153. 3. Kuc, R. (2001). Teaching the nonscience major: EE101-The digital information age. IEEE Transactions on Education, 44 (2), 158-164. 4. Orsak, G. C., Wood, S. L., Douglas, S. C., Munson, D. C., Treichler, J. R., Athale, R. A
American Society for Engineering Education, 2013 Integrating Cyber Infrastructure with Physical LaboratoriesAbstract Laboratories are indispensible components for engineering and technology curricula.Through systematically designed experiments, students can gain hands-on experience, enhanceclassroom learning, and cultivate career interests. However, traditional laboratories are oftenrestricted by space, scheduling, staffing, etc. Thus, how to effectively organize laboratories andmaximize the utilization of limited resources has gained many researchers’ attention. In recentyears, integrating cyberspace with educational technology has achieved significant progress. Tofacilitate the needs of research and education, lots of laboratory
ladder logic that wasclose to the behavior that they wanted. Errors that appeared in simulations were quicklyinvestigated and alternatives were generated and tested. Much of this success continued intoRSLogix as well, but the additional menu choices and depth of customization provided moreopportunities for students to get lost or an errant click to give unintended behavior.In surveys at the end of the class, students reported that they felt more comfortable with ladderlogic than LabVIEW or Arduino. They cited the ability to focus in on the single rung affecting amisbehaving output as a tremendous asset when troubleshooting a program. Students also felt asthough they would likely come across ladder logic and PLCs in the careers after
Paper ID #6229Case Study: Numerical Convergence Study on Simulated Spaceborne Mi-crowave Radiometer Measurements of EarthDr. Jamiiru Luttamaguzi, Elizabeth City State University Dr. Jamiiru Luttamaguzi is an Assistant Professor in Elizabeth City State University. His main research interest is in Optimal Control Theory. Most of his professional career has been spent teaching graduate and undergraduate math courses. He has supervised students in the McNair Internship program and the ECSU- NAM Summer Research Computational Science-Scientific Visualization programs. He graduated with a PhD is MAthematics and MS in
mission of STARS Alliance. SC State’s STARS SLC aims to encourage and informstudents at all levels on the various computing careers that are available to them. The following are someof the details of our SLC: Page 23.317.3 SLC Participation & OrganizationThe SLC at SC State consists of 10 computer science students and 3 computer science faculty. We meettwice a month to plan various outreach and professional development activities. The students work ingroups under the supervision of a faculty mentor. They prepare the K-12 outreach lesson plans anddeliver the lessons to the participating K-12 school
treatment facilities in central California. He was the recipient of the NSF CAREER award in 2011. Dr. Brown’s research interests are in conceptual change, epistemology, and social or situated cognition. Specifically, his research focuses on theoretical approaches to understanding why some engineering concepts are harder to learn than others, including the role of language and context in the learning process.Mr. Devlin Montfort, Washington State University Page 23.355.1 c American Society for Engineering Education, 2013 Curricular Materials and Methods for
. Page 23.491.7The museum saved in excess of $5000 for the project. They had been quoted a cost of $6000 fora new sign. Materials for the sign cost around $600 and concrete paint and grout was around$100. The board of the museum was very pleased with the final projects.Lessons learnedThe use of volunteer labor through student engagement has many benefits that students willhopefully carry with them through their professional careers. 1. Developing practical solutions at the most economical and beneficial use of the client. Non-profits and public sector entities have constrained budgets that must maximize their financial inputs. There is no ability to expand the budget. The project will be used by many for an extended period of
Society for Engineering Education, 2013 A Descriptive Study of Engineering Transfer Students at Four Institutions: Comparing Lateral and Vertical Transfer PathwaysStudents who attend two or more institutions during their post-secondary educational careers, ortransfer students, make up just over one-third of all American students.1 Additionally, 25% ofstudents who transfer will do so more than once.1 Reasons for transfer vary widely, but usuallyinclude academic, financial, or institutional factors.2 Moreover, reasons for transferring may bedifferent from reasons for discontinuing coursework until a later date (stopping-out), as thosewho stop-out normally identify more personal reasons for leaving an institution compared to theacademic
mentor and mentee gender affect the development and mode (supervisory vs. coaching) of the mentoring relationship?Implications of the two emerging models of research mentoring are discussed both in the localcontext of administering the mentoring program and in the broader context of mentoringprograms overall and other types of research-focused mentoring relationships.BackgroundYOU’RE@CU Program DetailsThe YOU’RE@CU mentoring program has three main goals: (1) increase retention ofundergraduate students in engineering with particular focus on women and underrepresentedminorities, (2) expose students to engineering research careers in academia and industry, (3)encourage graduate students to develop mentoring skills through a hands-on
methodology, learning through service, problem based learning methodologies, assessment of student learning, as well as com- plex problem solving. Her other research interests lie in cardiovascular fluid mechanics, sustainability, and K-12 engineering outreach. Dr. Pierrakos is a 2009 NSF CAREER Awardee. Dr. Pierrakos holds a B.S. in Engineering Science and Mechanics, an M.S. in Engineering Mechanics, and a Ph.D. in Biomedical Engineering from Virginia Tech.Dr. Elise M. Barrella, James Madison University Dr. Elise M. Barrella is an Assistant Professor of Engineering at James Madison University, focusing on transportation systems and sustainability. Prior to joining the JMU Engineering faculty in 2012, Dr. Barrella was
result of their involvement with research.The remaining two students found the experience made no difference to their motivation, whichwas already high to begin with.We illustrate the personal benefits of undergraduate research by providing a number ofcomments from participants. Any identifying information is removed.On how research experience influenced their motivation for engineering: “I learned that research is a field that one can make a career in. Also, the professor and TA were very intelligent and helpful. Although the topic was complicated for a sophomore like me, they made it easier for me to understand by providing me with the relevant papers on the topic and suggesting me to search articles from scientific
horizontal learning throughactive and engaged discourse and discussion. Students are empowered to charter their learn-ing and feed their curiosity. These classroom practices and laboratory environment provides achallenging and invigorating environment that prepares them for a lifelong learning processand career path.Part 1 – Basic 1. Intro to Python 2 hours 2. Basics 2 hours 3. Sequences (Strings, Lists, Tuples, Dictionaries, Sets) 2 hours 4. Math (use NumPy and Matplotlib modules) 2 hours 5. Functions 2 hours 6. String manipulations