References[1] Committee on Science, Engineering, and Public Policy (COSEPUP) and Policy and Global Affairs (PGA). (2006). Rising above the gathering storm: Engergizing and employing America for a brighter economic future. Washington DC.[2] National Academy of Engineering (NAE). (2004). The engineer of 2020: Visions of engineering in the new century. Washington DC: National Academies Press.[3] National Academy of Engineering (NAE). (2005). Educating the engineer of 2020: Adapting engineering education to the new century. Washington DC: National Academies Press. https://doi.org/10.1115/ESDA2008-59324 10[4] Bureau of Labor Statistics. (2015). Occupational outlook handbook.[5] York, T. T., Gibson, C., & Rankin, S. (2015). Defining and
that engineering students have to have an innate initial propensity inmathematics versus an ability that is learned. For these reasons, many students who did not fare well in the traditional high schoollevel math sequence, attempting to try a similar path in college may be settingthemselves up for a repeat conclusion. According to Snyder and Dillow (2011), morethan 1.7 million students enter the community college system. Based primarily uponperformance on a placement test, approximately 60% of these students are placed intoone, if not more, developmental mathematics course(s). Fully 80% of them do notcomplete any college-level mathematics courses within as many as three years (Bailey,Jeong, & Cho, 2010).At our North Dakota Tribally
in others to continue their efforts, when obstacles or oppositions are encountered, until the goal is achieved.• Inspiring Others: This leader induces positive emotions within a group/person to achieve a goal or become stronger/better individuals. The distinction between a motivator and an inspirer is that inspiration serves to create a positive feeling, but does not necessarily cause the person(s) to apply themselves to achieve the goal/improvement.• Serving Others: The person serves a community or the needs of society. They are not leading for personal gain, but to help those in need or improve societal conditions. They solve problems in society through their technological or scientific advancements. They use the
.[6] M. J. Johnson and S. D. Sheppard, “Relationships between engineering student and faculty demographics and stakeholders working to affect change,” Journal of Engineering Education, vol. 92, no. 2, pp. 137-151, 2004.[7] R. W. Lent, H. Sheu, D. Singley, J. A. Schmidt, L. C. Schmidt, and C. S. Gloster, “Longitudinal relations of self-efficacy to outcome expectations, interests, and major choice goals in engineering students,” Journal of Vocational Behavior, vol. 73, no. 2, pp. 328-335, 2008.[8] R. Marra, K. Rodgers, D. Shen, and B. Bogue, “Leaving engineering: A multi-year single institution study,” Journal of Engineering Education, vol. 101, pp. 6-27, 2012.[9] M. Ong, C. Wright, L. Espinosa
on student attitudes towards careers and research inSTEM and has increased their awareness of the skills needed for success in STEM careers.However, students seem to be less confident in the skills that they need for a career in STEMafter participating in research work. Further investigation is needed to determine the cause of theloss in confidence.AcknowledgementThis material is based upon work supported by the Department of Education Minority Scienceand Engineering Improvement Program under Grant No. P120A140051. Any opinions, findings,and conclusions or recommendations expressed in this material are those of the author(s) and donot necessarily reflect the views of the Department of Education.BibliographyBauer, K., & Bennett, J. (2003
student’s self-efficacy and expectedacademic outcomes. Brown observed two key findings that should be noted here. First, theresearchers found that high school performance measures (i.e. GPA) appeared to have a moresignificant contribution towards predicting a student’s self-efficacy beliefs than academicaptitude measured by standardized test scores (z=15.16, p from http://www.engr.psu.edu/AWE/ARPresources.aspxRobbins, S. B., Lauver, K., Le, H., Davis, D., Langley, R., & Carlstrom, A. (2004). Do psychosocial and study skill factors predict college outcomes? A meta-analysis. Psychological Bulletin, 130(2), 261–288. https://doi.org/10.1037/0033-2909.130.2.261Sass, T. (2015, January). Understanding the STEM pipeline (Working Paper
Paper ID #25890Teaching and Learning of Electrical and Computer Engineering Courses withHigh Mathematical ContentsDr. S. ”Hossein” Mousavinezhad P.E., Idaho State University Dr. Mousavinezhad, P.E., was the principal investigator of the National Science Foundation’s research grant, National Wireless Research Collaboration Symposium 2014; he has published a book (with Dr. Hu of University of North Dakota) on mobile computing in 2013. Professor Mousavinezhad is an active member of IEEE and ASEE Fellow having chaired sessions in national and regional conferences. He has been an ABET Program Evaluator for Electrical
, June 14-17, 2015, Seattle, WA5. J. Duke and D. Morris, 2002, “Assessing Undergraduate Mechanics Courses”, Proceedings of the 2002 ASEE Annual Conference and Exposition, June 16-19, 2002, Montreal, Canada6. D. Meyer,2006, “Strategies for Assessing Course Specific Outcomes”, Proceedings of the 2006 ASEE Annual Conference and Exposition, June 18-21, 2006, Chicago, IL7. M. Sanders, M. Thompson, M. El-Sayed, L. King, and M. Lindquist, 2006, “Assessing Interdisciplinary Engineering Capstone Project” Proceedings of the 2006 ASEE Annual Conference and Exposition, June 18-21, 2006, Chicago, IL8. S. Beyerlein, D. Davis, P. Thompson, M. Trevisian, and O. Harrison, 2006, “Assessment Framework for Capstone Design Courses”, Proceedings of
,” International Political Sociology, vol. 10, no. 4, pp. 332-351, 2016.[5] S. J. Davis, K. Caldeira, and H. D. Matthews, “Future CO2 emissions and climate change from existing energy infrastructure,” Science, vol. 329, no. 5997, pp. 1330-1333, 2010.[4] J. Currie, M. Greenstone, and K. Meckel, “Hydraulic fracturing and infant health: New evidence from Pennsylvania,” Science Advances, vol. 3, no. 12, 1603021. 2017.[5] F. Caiazzo, A. Ashok, I. A. Waitz, S. H. L. Yim, and S. R. H. Barrett, “Air pollution and early deaths in the United States. Part I: Quantifying the impact of major sectors in 2005,” Atmospheric Environment, vol. 79, pp. 198-208, 2013.[6] I. C. Dedoussi and S. R. H. Barrett, “Air pollution and early deaths in the
dimensions as shown in Table 1.More specifically, there was a statistically significant positive change for the males in mathenjoyment and math and science instruction post-test.References 1. Prince, M. (2004). Does active learning work? A review of research. J. Engineering Education, 93(3), 221-231 © American Society for Engineering Education, 2017 2018 ASEE National Conference2. Blumenfeld, P. C., Kempler, T. M., and Krajcik, J. S. (2006). Motivation and cognitive engagement. The Cambridge Handbook of Learning Science. Sawyer, R. K. (Ed.)3. Freeman, S. Eddy, S. L., McDonagh, M., Smith, M. K., Okorofor, N., Jordt, H., and Wenderoth, M. P. (2014). Active Learning increases student
. Summarize 3-5 evidence-based instructional strategies s/he will implement. At least one of these will be a discipline-specific instructional strategy relevant to the participant’s field of study. Leverage the Literature Search relevant sources (e.g., journal articles, conference proceedings, book chapters, blogs, disciplinary communities of practice) to identify pedagogical best practices and discipline- specific teaching practices. Engage in Discussion Critique discipline-based education research or instructional case studies. Facilitate a
/pra2.2016.14505301139.http://onlinelibrary.wiley.com/doi/10.1002/pra2.2016.14505301139/abstract.7. Reiser, S. and R. Bruce. 2014. Cultivating creativity (and majors) with computational craft.IEEE Southeast Conference, Lexington, KY. doi:10.1109/SECON.2014.6950654,http://ieeexplore.ieee.org/document/6950654/. 8. Buhler, A., Gonzalez, S, Bennett, D., and Winnick, E. 2015. 3D printing for middle schooloutreach: A collaboration between the science library and the Society of Women Engineers.Proceedings of the American Society for Engineering Education 122nd Annual Conference,Seattle, WA.9. Ro, H. K. and D. B. Knight. 2016. Gender differences in learning outcomes from the collegeexperiences of engineering students. Journal of Engineering Education 105 (3): 478-507
. Teacher participants were selected based on the quality of a statement of their interest inconducting research and participating in professional development, letters of recommendationfrom their principals, years of in-service teaching, the demographics of the students that theyteach, and the science subject(s) they teach. There were 11 teachers in the first cohort: 4 teacherswho participated in the program at TU and 7 teachers who participated at PU. Once the teachers had been accepted into the program, they were introduced (virtually) totheir resesearch advisors, with the intent of having some preliminary discussion about projectsahead of their arrival on campus. These discussions began about six weeks prior to the start ofthe on-campus
be slightly altered to reinforce the principles of diversity andinclusion as a consistent theme throughout the workshop. Finally, every seminar andevery piece of training literature should be reviewed with the specific awareness ofconsidering people of all races, genders and background.Clearly, this is not the final solution to a field that continues to evolve very quickly, but itrepresents a good start. Hopefully these steps will provide lessons learned and productivefeedback that will lead to even better changes in the future.Bibliography1 Estes, A.C., Ressler, S.J., Saviz, C.M., Barry, B.E., Considine, C. L., Coward, D., Dennis, N. D.,Hamilton, S. R., Hurwitz, D. S., Kunberger, T., Lenox, T. A., Nilsson, T. L., Nolen, L., O'Brien, J. J
Makerspaces, 1 being not at all and 7 being very much.ACKNOWLEDGEMENTS: This material is based upon work supported by the NationalScience Foundation under Grant No. EEC 1531375. Any opinions, findings, and conclusions orrecommendations expressed in this material are those of the author(s) and do not necessarilyreflect the views of the National Science Foundation.REFERENCES:[1] D. N. Beede, T. A. Julian, D. Langdon, G. McKittrick, B. Khan and M. E. Doms, "Women in STEM: A Gender Gap to Innovation," Economics and Statistics Administration Issue Brief, vol. 04, no. 11, 2011.[2] R. M. Marra, K. A. Rodgers, D. Shen and B. Bogue, "Women Engineering Students and Self- Efficacy: A Multi-Year, Multi-Instituion Study of Women Engineering Student Self
common goal of increasing the number of female professionals in the STEMfields.After completing Girl Scouts STEM Day grogram, students reflected that the workshops wereinteresting and they enjoyed STEM fields. Our future direction would be to track the number ofstudents who enroll in STEM fields for college after they finish Girl Scouts STEM activies.References:[1] Sahin, A., Ayar, M. C., and Adiguzel, T., "STEM Related After-School Program Activities and AssociatedOutcomes on Student Learning", Educational Sciences: Theory and Practice, 14(1), 309-322, 2014.[2] Ma, G., and Ma, L., "Retaining Female Students in a Robotics Program", Proceedings of the 2017 AmericanSociety for Engineering Education conference and exposition, 2017.[3] Crowe, S
, gender and ethnicity issues, transfers, and matriculation models with MIDFIELD as well as student veterans in engi- neering. Her evaluation work includes evaluating teamwork models, broadening participation initiatives, and S-STEM and LSAMP programs.Prof. Michelle M. Camacho, University of San Diego Michelle M. Camacho is Professor of Sociology at the University of San Diego. She began her career at UC San Diego in 1999 as a postdoctoral fellow at the Center for US Mexican Studies, and later as a UC Faculty Fellow in Ethnic Studies. In 2015-16, she returned to UC San Diego as a fellow of the American c American Society for Engineering Education, 2019
, all variables were retained.Demographics were then inserted into simple linear regression models to understand how theydid or did not predict the five separate engagement variables (behavioral attention, effort, andparticipation; positive and negative emotional engagement). All demographic variables in theregression models were effect coded as summarized in Table 3. Table 3: Effect Coding of Independent Variables for Linear Regression Models Characteristic Variable Effect Coding Name(s) Race White White = -1; Asian = 1 Asian Asian
overwhelmingly enjoy this experience and that it effectively displays the direct, positiveimpact engineering can have on people. Future work includes developing the program to servemore engineering students, providing workshops for parents and families of children with specialneeds, and beginning partnerships to extend toy adaptation to other cities and universities.Additionally, we will continue to expand our data collection to evaluate the program morecompletely and its impact on our students and the community.AcknowledgementThis work is currently supported by the Battelle Engineering, Technology, and Human Affairs(BETHA) Endowment. Any opinions, findings, and conclusions or recommendations expressedin this material are those of the author(s) and do
gain diminishing to its minimum value at the adjacent antenna’sboresight.Figure 6 depicts the matched antenna gain patterns with the incident radar signal added. Thisgives two different received powers: P1dBm at receiver 1 (connected to antenna 1), and P2dBm at Figure 6: Antenna pair with incident radar signalreceiver/antenna 2. Look carefully at Figure 6. Note that the difference between the tworeceived powers varies linearly with the angle off of boresight, from a maximum of AdB_BS at 0°(antenna 1’s boresight) to a minimum of 0 dB at 45°. (Beyond that the arrival angle is closer toantenna 2, so all of the following calculations would be reversed and worked with respect toantenna 2 instead of Antenna 1.) It is this
the Co-PI of an NSF Funded Step 1B program called COMPASS, a Co-PI of the NSF-funded S-STEM program at UCF entitled the ”Young Entrepreneur and Scholar(YES) Scholarship Program” as well as the NSF-funded STEP program entitled ”EXCEL:UCF-STEP Pathways to STEM: From Promise to Prominence.” Dr. Young’s interests are in improving student learning in mathematics and increasing success in STEM education.Dr. Michael Georgiopoulos, University of Central Florida Michael Georgiopoulos received the Diploma in EE from the National Technical University in Athens, his MS degree and Ph.D. degree in EE from the University of Connecticut, Storrs, CT, in 1981, 1983 and 1986, respectively. He is currently a Professor in the
. Foroudastan, S. (Febuary 2010). Facilitating Cultural Diffusion through Collegiate Design Competition Teams.Proceedings of 4th Annual Conference of Tennessee Consortium for International Studies.2. Foroudastan, S. (2012). MTSU’s MSPS Program Bridges Gap Between Academia and the Scientific Industry.Proceedings of the 2012 Hawaii University International Conferences.3. Foroudastan, S. & Thompson, B. “Experimental Vehicles Program Research and Innovation Prepares Studentsfor Challenges of Tomorrow.” TIIJ (2013): 61-67.4. Professional Science Masters. “Professional Science Masters.” Retrieved November 10, 2014 fromhttp://www.sciencemasters.com
. Page 26.1091.3The Role of Building RelationshipsIn order to undertake challenging design and build projects with industry sponsors, a substantiallevel of trust must be established between the university and the sponsors. Such projects requirean understanding of the capabilities of the student teams on the part of the corporate sponsors, aswell as an understanding of the culture and expectations of their corporate partners by thestudents and faculty. This level of trust requires long term planning, development, and nurturing.The engineering programs as Grand Valley State University were launched at the request of localindustry in the 1980’s. The programs were designed by a team of faculty in collaboration withpracticing engineers from industry
Paper ID #12970Maker: Candy Crane RobotDr. Andy Zhang, New York City College of Technology Dr. Andy S. Zhang received his PH.D. from the City University of New York in 1995. He is currently the program director of a Mechatronics Project in the New York City College of Technology/CUNY. For the past 10 years, Dr. Zhang has been working on bringing mechatronics technology to the undergraduate en- gineering technology curricula and on helping high school students to learn mechatronics through FIRST Robotic Competition events.angran xiao, New York City College of Technology, City University of New York Angran Xiao is an
., Chakrabarti, A., and Bligh, T., 2003, “Towards an ‘ideal’ approach for concept generation,” Design Studies, 24(4), pp. 341–355.[9] Yilmaz, S., Daly, S. R., Jablokow, K. W., Silk, E. M., and Rosenberg, M., 2014, “Investigating impacts on the ideation flexibility of engineers.”[10] Kirton, M. J., 1976, “Adaptors and innovators: A description and measure,” Journal of Applied Psychology, 61(5), pp. 622–629.[11] Jablokow, K. W., and Kirton, M. J., 2009, Problem Solving, Creativity, and the Level-Style Distinction. In Perspectives on the Nature of Intellectual Styles (L.-F. Zhang and R. J. Sternberg, Eds.)., Springer, New York, NY.[12] Jablokow, K. W., 2008, “Developing problem solving leadership: a cognitive approach
enabled success, circumventing unsupportive advisors,combating isolation using peer networks, consciously demonstrating abilities to counteractdoubt, finding safe spaces for their whole selves, getting out to stay in STEM, remembering their Page 26.1582.2passion for science, and engaging in activism.” Note that navigating the system is also one ofthe three dimensions of becoming an engineer noted by Stevens et al6.While most of Ko et al.’s coping strategies primarily involve taking action, “remembering theirpassion for science” and “demonstrating abilities to counteract doubt” are primarily internalpsychological acts. In this paper, we build on
/4. Campbell, C., Senior Mechanical Engineer, iRobot, Email Correspondence, 20165. Chester, I. (2007). Teaching for CAD expertise, International Journal of Technology and Design Education, Volume 17, Issue 1, pp 23-356. Devine, K PhD., Illinois State University, Telephone Interview, 20167. Gaughran, W. F. (2002). Cognitive modeling for engineers, Proceedings of the 2002 American Society for Engineering Education Annual Conference and Exposition.8. Harris, S., Co-Founder and VP of OnShape, Telephone Interview, 20169. Hinkle, K., Senior Designer, Senior Aerospace, Email Correspondence, 201610. Krish, S. (2011). A practical generative design method, Computer-Aided Design, Volume 43, Issue 1, pp 88- 10011. PTC. (2011
”, ICEE2011 - August 2011, Belfast, North Ireland, UK.5. Friesel,A., Avramides, K., Cojocaru, D.: “Identifying how PELARS-project can support the development of new curriculum structures in engineering education”, The Experimental International Conference 2015 (exp.at'15), June, 2015, University of Azores, Ponta Delgada, São Miguel Island, Azores, Portugal.6. Krumm, A.E.; Waddington, R.J.; Lonn, S.; Teasley, S.D. :” Increasing Academic Success in Undergraduate Engineering Education using Learning Analytics: A Design-Based Research Project”; Annual Meeting of the American Educational Research Association. Vancouver, BC, Canada, 2012-04 ; . http://hdl.handle.net/2027.42/1060327. Dragon, T., Mavrikis
a four-component model. Mis Quarterly , 30 (1), 167-180.Peterson, D. K. (2002). Computer ethics: the influence of guidelines and universal moralbeliefs. Information Technology & People , 15 (4), 346-361.Phukan, S. (2005). Using Information Technology Ethically: New Dimensions in the Age ofthe Internet. The Business Review, Cambridge , 4 (1), 234-239.Renwick, J. S., & Riemenschneider, C. K. (2013). A model of ethical decision making byinformation technology students. Journal of Computing Sciences in Colleges , 28 (5), 62-69.Riemenschneider, C. K., Leonard, L. N., & Manly, T. S. (2011). Students' Ethical Decision-Making in an Information Technology Context: A Theory of Planned Behavior Approach.Journal of Information Systems