having access to a role model, we created a code for servingas a role model or having a role model. We define a role model as a person(s) whom theparticipant observed and was inspired by without necessarily having any prior relationship orcommunication. For example, many participants explained that their faith in their own ability tobecome an engineer was strengthened after seeing someone excelling within an engineeringprogram who “looked like them” or came from a similar background. Their role models inspiredand motivated them to work harder. Additionally, many participants described increasing theirinvolvement in NSBE/SHPE as a result of observing role models. As one participant said, “she isdoing all these things— if she can do it I can do it
.193-212. 8. Rogowsky, B.A., Calhoun, B.M. and Tallal, P., 2015. Matching learning style to instructional method: Effects on comprehension. Journal of Educational Psychology, 107(1), p.64. 9. Dekker, S., Lee, N.C., Howard-Jones, P. and Jolles, J., 2012. Neuromyths in education: Prevalence and predictors of misconceptions among teachers. Frontiers in psychology, 3. 10. Peterson, E.R., Rayner, S.G. and Armstrong, S.J., 2009. Researching the psychology of cognitive style and learning style: Is there really a future?, Learning and Individual Differences, 19(4), pp.518-523. 11. Allen, I.E. and Seaman, J., 2013. Changing Course: Ten Years of Tracking Online Education in the United States. Sloan
= = 𝑅𝐶𝑠 + 1 1 1 𝑠 + 𝑅𝐶 𝑠+ 1 𝑠 + 1000 𝑅𝐶 10𝑘Ω ∗ 0.1µ𝐹The following four lines of codes can be used to find the Bode plot:num = [1000];den = [1, 1000];TF = tf(num,den)bode(TF)1000/(s+1000) Bode Diagram 0 -5 -10 -15 Magnitude (dB) -20 -25 -30 -35 -40 0 Phase (deg
traditional class instruction and lab work. In newer use settings, thishomework often was for extra credit or exploratory purposes and was an extension of regularlyassigned work. As use became more embedded and the instructor(s) more familiar, inclusion inhomework reflected advanced opportunities to practice/learn material.Variations by Instructional Use. Method of use also varied by site with multiple uses found ateach of the 13 settings. The key methods of use included: 1) instructor demonstration (e.g.,faculty active; student passive, instructor usually at the front of the classroom); 2) cooperative(e.g. student-student dyad or triad collaboration working on a specific assignment in classroomand in lab settings); and 3) independent (e.g
Annual Meeting. 2015.6. Branch, K.J. and A.E. Butterfield. Analysis of student interactions with browser-based interactive simulations. in ASEE Annual Meeting. 2015. Seattle, WA.7. Falconer, J. and G. Nicodemus, Interactive Mathematica simulations in chemical engineering courses. Chemical Engineering Education, 2014. 48(3): p. 165-174.8. Chi, M.T., Active-constructive-interactive: a conceptual framework for differentiating learning activities. Top Cogn Sci, 2009. 1(1): p. 73-105.9. Chickering, A.W. and Z.F. Gamson, Seven Principles for Good Practice in Undergraduate Education. AAHE Bulletin, 1987: p. 1-7.10. Freeman, S., et al., Active learning increases student performance in science, engineering, and
or satisfiedwith the STEM modules delivered by the CET. The participants expressed the need tobreakdown the 3D modeling modules into smaller sub modules and start with simple models.Since this is a work in progress paper, and the authors are limited to four pages, the readers areencouraged to contact the authors for detailed survey instruments, assessment results, andparticipant comments. Figure 3. Overall satisfaction with different modules for Students (S), Teachers (T), and those who did not identify themselves (NI).Conclusions and Next StepsAMIA participants were exposed to a large number of concepts in mechanics, electronics,controls, programming, 3D modeling, 3D printing, and computer aided machining. The
, D., Ziyatdinova, J. Development of innovative activities of graduate and postgraduate students of the Institute of Polymers using the US research universities experience (2012). Vestnik of Kazan Technological University, 15 (7), pp. 214-218 [In Russian].7. Duval-Couetil, N., Reed-Rhoads, T., Haghighi, S. Engineering students and entrepreneurship education: Involvement, attitudes and outcomes (2012). International Journal of Engineering Education, 28 (2).8. Sultanova, D., Kochnev, A. Development of entrepreneurial skills among engineering students (2013). Proceedings of International Conference on Interactive Collaborative Learning (ICL), P.766-767.9. Ziyatdinova, J.,Bezrukov, A. , Osipov, P. , Sanger, P.A. , Ivanov
2014: Indianapolis, Indiana.9. Blash, L., et al., A Long & Leaky Pipeline: Improving Transfer Pathways for Engineering Students. 2012, The Research & Planning Group of California Community Colleges.10. Commission, C.P.E., California Postsecondary Education Commission to close doors on November 18. 2011, California Postsecondary Education Commission.11. Commission, C.P.E. Detailed Data. 2011; Available from: http://www.cpec.ca.gov/.12. Ulate, D., Discussion on Chancellor's Common Student ID Number, S. Parikh, Editor. 2016.
tools. My project does not need risk E analysis at all A Benchmarking 2. In an HOQ, to better understand B Reverse Engineering competitor’s product(s), I am aware of C Kano Diagram two standard methods that could be D Either A or B Second best 15.56 employed. E Both A & B Best
multiple responsibilities such as school, work,significant other, family, etc. The STARSS scholarship has given me the opportunity to takecontrol of my time by allowing me to cut out a very significant part of my time which is work.AcknowledgementsThis work is supported by the National Science Foundation Scholarships in Science,Technology, Engineering, and Mathematics Program (S-STEM) through Award No. 1154093.References1. Excelencia in Education, What Works For Latino Students in Higher Education, 2013, retrieved fromhttp://www.edexcelencia.org/research/what-works-series2. Rio Hondo College, Application for Reaffirmation of Accreditation: Self-Evaluation, 2014, retrieved fromhttp://www.riohondo.edu/accreditation/wp-content/uploads/sites/28/2014
challenges and created things but in those situations we have been so product driven and obsessed with having something that works that we have often skipped over crucial steps in this ideation process. […] I had also never tried to solve a customer driven problem and I found the customer discovery process to be incredibly fascinating.Another student reflected on their personal role within groups and stated, “This class providedme the opportunity to get a good look of how I work in groups. It made me truly realize thateveryone needs to take initiative and be actively engaged for the group to function.”One student reflected on the role s/he played as well as mistakes made in regards to groupparticipation and interaction. The
that could account for constantly changing organization(s) partially due theircontinual re-organization around new goals making them ever more complex, open as a system, and thuspotentially influenced by, and influencing, an intervention (and other environment influences) in novel,unpredictable ways.We looked towards pertinent theory to help make research model decisions. A theory’s usefulness is two-fold, in particular when considering theories to study education interventions and associated change. Atheory must be able to illuminate phenomena of interest, that is, explain and predict. Yet it is also shouldbe practical, meaning potentially informing practice; in our case, this would equate to helping interventionleaders/change agents to
, those communities are more likely to be impactedby fund depletion, often in locations where there is already less funding of education than in lessdiverse, more affluent communities.Case StudyBy the early 2000s, the public school systems in Louisiana had been in decline for quite sometime with issues ranging from academically unacceptable scholastic achievement to high dropoutand poor graduation rates. The public school systems in New Orleans prior to Katrina consistedof roughly 65,000 students spread among ~4,000 teachers with a predominantly (~93%) blackpopulation. The term ‘white flight’ was coined in the mid 1900’s to represent the drain of whitefamilies from inner city to suburban neighborhoods after desegregation. In the late 80’s to
. This process wasdocumented in the self-study report with the intention of re-evaluating benchmarks. However, inretrospect, the benchmarks have not yet been changed. Instead, efforts have been concentrated onimproving areas below the 70% benchmark.Appendices B, C, and D provide sample summaries of Performance Indicator (PI) results andinterpretations for the examples presented in the previous section. The top of each table lists theSO followed by the PIs designated by letters: PIa, PIb, PIc, etc. Each table lists the course, thesemester(s), and the evaluator, who was typically the instructor for the course. The tool used forassessment was the relevant SO rubric. Results are summaries of the rubric scores, assessmentsof student work using the
the areas of science, technologyengineering and mathematics (STEM) in order to have well prepared and successfulprofessionals1,2. Many students are not ready to face their new college life, it is necessary toprovide them bridge programs to help them in this transition process. Since the 1990’s, therehas been numerous efforts to improve the preparation of students for success in college.Summer immersion programs are one of the many strategies used to assist students toimprove their academic development. By improving the student success, the retention andgraduation rates accordingly will increase. These programs are designed to serve newlyenrolled freshman in the fall semester in order to provide the tools necessary to begin theirprofessional
that each program must demonstrate that their graduates areachieving the stated PEOs, but since 2012 the evaluation of PEOs are no longer required,However, criterion 2 still requires that the PEO,s must be reviewed periodically, to ensure thatthey are still consistent with the institutional mission, and the program’s constituents’ needs. Inthe most recent review, with consultation with various constituencies of that included theIndustrial Advisory Board and students, minor modifications are being made to the PEOs. Therevised PEOs are presented below: The Mechanical Engineering Program prepares students to attain the following program educational objectives a few years after graduation:1. Have engineering or other careers in industry
small number of design criteria in the course ofcreating design concepts, rather than hoping that they will do so voluntarily as a meta-designstep.References[1] S. Shane. Technology Strategy for Managers and Entrepreneurs. Upper Saddle River, NJ: Pearson Prentice Hall,2009.[2] K. T. Ulrich and S. D. Eppinger. Product Design and Development, 5th edition. New York: McGraw Hill, 2012.[3] J. J. Duderstadt, Engineering for a Changing World: A Roadmap to the Future of American EngineeringPractice, Research, and Education. Ann Arbor, MI: The Millennium Project, University of Michigan, 2008.[4] Anon. National Innovation Initiative Summit and Report: Thriving in a World of Challenge and Change.Washington, D.C.; The Council on Competitiveness, 2005.[5] R
. John, Digital Systems Design Using VHDL, Second Edition, Thompson, Toronto, Canada, 2008.2. Lee, S., Advanced Digital Logic Design: Using VHDL, State Machines, and Synthesis for FPGAs, Thompson, Toronto, Canada, 2007.3. Harris, D.M. and S.L. Harris, Digital Design and Computer Architecture, Morgan Kaufmann, San Francisco, CA, 2007.4. Hwang, E.O., Digital Logic and Microprocessor Design with VHDL, Thompson, Toronto, Canada, 2006.5. Hayne, R.J., "An Instructional Processor Design using VHDL and an FPGA," Computers in Education Journal, ASEE, Vol. 3 No. 2, April - June 2012.6. Hayne, R.J., "VHDL Projects to Reinforce Computer Architecture Classroom Instruction," Computers in Education Journal, Vol. XVIII No. 2, April
received feedback from the circulating instructors/TAs. The first semester ofa restructured course is a learning experience for the instructor(s), TA(s), and students; however,by staying open to feedback, improvements can be made along the way. Our final in-classactivity was certainly the smoothest of the semester, with fewer groups stuck without a way tomove forward in solving the problem, positive group dynamics, and appropriate timing.In our experience, feedback can come from the students, fellow instructors/TAs, outsideobservers, assessment results (e.g., exams), or personal reflection. Pre-, mid-, and post-surveysof the students (separate from course/instructor evaluations) can be useful in identifying theirexpectations, prior experiences
systematic innovation in engineering education: Ensuring U.S. engineering has the right people with the right talent for a global society. (American Society for Engineering Education, 2009). at 2. Prince, M. Does active learning work? A review of the research. J. Eng. Educ. 93, 223–231 (2004).3. Ambrose, S., Bridges, M. W., DiPietro, M., Lovett, M. C. & Norman, M. K. How learning works: Seven research-based principles for smart teaching. (Jossey-Bass, 2010).4. Hjalmarson, M. et al. Developing interactive teaching strategies for electrical engineering faculty. in Proceedings of the American Society of Engineering Education Conference (2013).5. Kober, N. Reaching Students: What Research Says About Effective Instruction in Undergraduate
engineering education. In: International Conference of Engineering Education, Heraklion, Greece.; 2008.2. Cross, N. The expertise of exceptional designers. In: Design Thinking Research Symposium (DTRS) 6, Expertise in Design. Sydney, Australia; 2003:79–103.3. Lawson, B, Dorst, K. Design Expertise. In: Design Expertise. Architectural Press; 2009.4. Next generation science standards: For states, by states.; 2013.5. Driver R, Newton P, Osborne J. Establishing the norms of scientific argumentation in classrooms. Sci Educ. 2000;84:287–312.6. Purzer Ş, Goldstein M, Adams R, Xie C, Nourian S. An exploratory study of informed engineering design behaviors associated with scientific explanations. Int. J of STEM Educ (IJSTEM
research but can also serve as a guide for others who may attempt similar work in the future.Project Goals for 20151) Development, testing, and validation of the engineering innovativeness measurement instrument for both student and practicing engineer populations through the collaboration and support of ten universities and ten corporations in three phases: a. Classical item analysis and instrument testing. b. Pilot testing and factor analysis. c. Validation testing of instrument[s].2) Planning for full evaluation studies in 2015-2018 of Engineering Innovativeness at all 20 collaborating academic and corporate institutions. a. Project plans for research studies to be conducted at the participating collaborating
-level 3Dprinting sessions for returning students and/or expanding the program to other middle schools inthe local area.References 1. Gonzalez, S. and D. Bennett. (Fall 2014). Planning a 3D Printing Service in an Academic Library. Issues in Science & Technology Librarianship. 78. DOI:10.5062/F4M043CC 2. Partnership for 21st Century Skills. (2009). P21 Framework Definitions. Retrieved from http://www.p21.org/storage/documents/P21_Framework_Definitions.pdf 3. Johnson, M., M.J. Clapp, S.R. Ewing, and A.G. Buhler. (2011). Building a Participatory Culture: Collaborating with Student Organizations for 21st Century Library Instruction. Collaborative Librarianship. 3(1), 2-15
showing a frontview of the electromechanical trainer and one showing a rear view. A reservation interface isbeing developed that will allow a student to log into a central system, reserve time on a particulartrainer, and indicate which experiment they wish to perform. An instructor will have indicated inadvance which mode the system needs to be in when the student connects for that particularexperiment. Before giving the student access to the trainer, the System Controller will send theappropriate commands to that trainers supervisory controller, which will set the appropriateparameters and return an acknowledgement. The student will then be able to connect directly tothe PLC or microcontroller to complete their experiment(s). They will be able
, New York NY, 1998.5. Canham, M. S., Wiley, J. and Mayer, R. E. (2012), When Diversity in Training Improves Dyadic Problem Solving. Appl. Cognit. Psychol., 26: 421–4306. Wiley, J., et al. "The power of three: Why the third person matters." Annual Meeting of the Psychonomic Society, Boston, MA. 2009.7. Hestenes, D., Wells, M., & Swackhamer, G. (1992). Force concept inventory. The Physics Teacher, 30(3), 141- 158.8. Cummings, Marx, Thornton, & Kuhl, Evaluating innovation in studio physics. Am. J. Phys. Supp. 1999. Page 26.117.7
students were electrical engineers and twowere mechanical engineers. No students participated both in an interview and a focus group.Demographics by major and population for each interview and focus group are summarized inTable 1.Table 1: Demographics of Student Participants in Interviews and Focus GroupsParticipant Pool Major(s) N Ethnicity Gender Applied Math (1)Focus Group Asian (3) Male (5) BioEngineering (1) 6Sensor Systems Caucasian (3) Female (1) Electrical Engineering (4)Focus Group