? Science education reform and Mexican-Americans. High School Journal, 78(4), 244-252.Borman, G. D. & Overman, L. T. (2004). Resilience in mathematics among poor and minority students. The Elementary School Journal, 104(3), 177-195.Bransford, John D., and Daniel L. Schwartz. "Chapter 3: Rethinking transfer: A simple proposal with multiple implications." Review of research in education 24.1 (1999): 61-100.Brotman, J. S. & Moore, F. M. (20080. Girls and science: A review of four themes in science education literature. Journal of Research in Science Teaching, 45(9), 971-1002.Castro-Olivo, S., Tran, O.K., Begum, G.F., Arellano, E.M., Garcia, N.M. & Tung, C.Y. (2013). A comprehensive model for promotion resiliency and preventing
cybersecurity, such as artificial immune systems.Dr. Charles Lam, California State University - Bakersfield Dr. Charles C.Y. Lam is a Professor in the Department of Mathematics at CSU Bakersfield. Dr. Lam received his Ph.D. in Combinatorics and Optimization from the University of Waterloo. His research areas are in cryptography, digital watermarking, and combinatorics. He has mentored various undergraduate student researchers as a faculty mentor for the LSAMP and McNair Scholars Program. He has extensive experience in curriculum assessment, undergraduate curriculum development, and student mentoring.Dr. Hani Mehrpouyan P.E., California State University - Bakersfield \Hani Mehrpouyan\ (S’05-M’10) received his B.Sc. honours degree
National Science Foundation for their support through a Graduate ResearchFellowship (DGE-1333468). Any opinions, findings, and conclusions or recommendationsexpressed in this material are those of the authors and do not necessarily reflect the views of theNational Science Foundation.References[1] C. E. Foor, S. E. Walden, and D. A. Trytten, ““I wish that I belonged more in this whole engineering group:" Achieving individual diversity,” J. Eng. Educ., vol. 96, no. 2, pp. 103–115, 2007.[2] J. M. Smith and J. C. Lucena, “‘How do I show them I’m more than a person who can lift heavy things?’ the funds of knowledge of low income, first generation engineering students,” J. Women Minor. Sci. Eng., vol. 22, no. 3, pp. 199–221, 2016.[3
innovation in engineering education necessitates research on ways of thinking. Wesought to gain this understanding based on four specific ways of thinking including futures,values, systems, and strategic thinking. The study builds on the existing body of knowledgeregarding these ways of thinking, while initiating a first step toward an ‘EER ways of thinking’model. We believe the resulting model could serve as an organizing and motivating structure toframe decisions throughout all engineering education endeavors.ReferencesBrown, T. A. (2015). Confirmatory factor analysis for applied research, 2nd edition. New York, NY: Guilford PublicationsCrawford, A. V., Green, S. B., Levy, R., Lo, W. J., Scott, L., Svetina, D., & Thompson, M. S. (2010
helped them in their undergraduateeducation to succeed. The goal of using this analysis, as consistent with founders of themethodology [12], is to develop a theory during textural analysis without preconceived ideas onwhat the solution, or theory, could be. GMT was developed in the 1960’s to give sociologists atool that allowed them to generate new theories. It has begun to be adopted by the designdisciplines to help navigate the fuzzy front end of design by coding observations in transcripts,for example. The idea is that stories can emerge, and connections can be made betweenunrelated ideas and help form potential hypotheses [13]. In this initial coding exercise, word-by-word, and line-by-line coding strategies were employed, as described by
the effectiveness of the workshop relativeto the benefits to SVS gained from participation in the class only.References1. S. Sorby, “Educational Research in Developing 3-D Spatial Skills for Engineering Students,” International Journal of Science Education, vol. 31, no. 3, pp. 459-480, 2009.2. J. Wai, D. Lubinski, and C. P. Benbow, “Spatial ability for STEM domains: Aligning over 50 years of cumulative psychological knowledge solidifies its importance,” Journal of Educational Psychology, vol. 101, no. 4, pp. 817-835, 2009.3. M. B. Casey, E. Pezaris, E., and R. L. Nuttall, “Spatial ability as a predictor of math achievement: the importance of sex and handedness patterns,” Neuropsychologia, vol. 30, pp. 35-40, 1992.4. D. Halpern, D
failed to benefit from their mentor. The selection processused to pick mentors and mentees was also investigated with the research questionnaire to furtherunderstand student preferences and specific needs of those majoring in STEM fields.The sixty-four (N=64) participants represents a diverse sample of graduate students who pursueundergraduate STEM degrees. Students reported their mentors helped with the following: 1) providingfunding, setting goals, providing positive and constructive feedback on their work, and being supportiveof ideas which allowed the mentee to follow his/her own ideas for their work. Alternatively, someparticipants reported unmet expectations by their mentor(s), such as wishing the mentor had: 1)provided more exposure to
(2005).7. National Academy of Engineering. The Engineer of 2020: Visions of Engineering in the New Century. (National Academies Press, 2004).8. Page, S. E. The Difference: How the Power of Diversity Creates Better Groups, Firms, Schools, and Societies. (Princeton UP, 2007).9. Seymour, E. & Hewitt, N. M. Talking about Leaving: Why Undergraduates Leave the Sciences. Contemporary Sociology 26, (Westview Press, 1997).10. Moller-Wong, C. & Eide, A. An engineering student retention study. J. Eng. Educ. 86, 7– 15 (1997).11. Imbrie, P. K., Lin, J. J.-J. & Reid, K. Comparison of four methodologies for modeling student retention in engineering. in ASEE Annual Conference and Exposition, Conference
make sure that we continually connecthigher with the lower knowledge. This is the wayo Integration of Physics in the State-of-Art technology courses:• MMIC Design and Fabrication In this course, the author covers a variety of topics including connecting ABCD parameters ofcircuit theory, S-parameters in microwaves, Low noise, High power and broadband amplifiers, oscillatorsand connection of S-parameters with device physics parameters such as trans-conductance. However,examples are chosen from transmission line losses, input impedance and stability of amplifiers based onS-parameters.Example 1: A lossless transmission line is connected to a load with 𝑍! =0. The characteristic impedanceof the line is 50Ω. (a) Plot 𝑉 𝑥 as a function
, chemistry, and mathematics. Each respondent alsomet the following requirements: 1) The student identified his/her race/ethnicity as Black/AfricanAmerican on his/her application to Tech College; 2) The student stated that s/he was educated ina high school either in the U.S. or in a sub-Saharan African country; 3) The student enrolled atEC prior to transferring to Tech College; 4) The student was at least 18 years of age at the timethat s/he participated in the research study. A roster of Black transfer students was generated by the Admissions office at LandingUniversity (Landing University is the main campus on which Tech College of Engineering andseveral other academic colleges is housed). After obtaining this roster, undergraduates who
visualizationskills, both, for development of imagination and creativity, as well as development ofcompetencies directly related to technical fields such as engineering graphics and design.In this field of graphics and design, which is more linked to STEM education, there are acceptedtest such as the Purdue Spatial Visualization Test - Rotations PSVT:R (Guay, 1977), the MentalCutting Test (MCT) (Sorby, 1999) and the Shepard-Metzler Rotation (S-M) Test (Shepard, 1971)and its modification (Vandenberg, 1978). All of these tests have been used to measure thevisualization skills in an individual at a given time, thus providing a reference for comparison. Theunderlying concept in these tests is the mental rotation of 3D given objects. PSVT:R is perhapsone of the
Academies Press.[2] T. A. Lamb, K. Petrie, Development of a Cognition-Priming Model Describing Learning in a STEM Classroom. Journal of Research in Science Teaching, Vol. 52 No. 3, 410–437, 2015.[3] Z. Aguirre-Munoz, M. L. Pantoya, Engineering Literacy and Engagement in the Early Years, Journal of Engineering Education Vol. 105 No. 4, 630-654, 2016.[4] S. Carey, E. Spelke, Domain specific knowledge and conceptual change. In H. Wellman & S. Gelman (Eds.), Mapping the mind (pp. 169 – 200). Cambridge, England: Cambridge University Press, 1994.[5] R. Gelman, K. Brenneman, Science learning pathways for young children. Early Childhood Research Quarterly, Vol. 19, 150 – 158, 2004.[6] J. Piaget, The
received the 2015 Presidential Award for Excellence in Science, Mathematics, and Engineering Mentoring.Miss Dana Corrina Dimitriu Dana Dimitriu is a third-year mechanical engineering student at the University of Texas at San Antonio. She is currently working on receiving her bachelor’s degree in Mechanical Engineering with a minor in Psychology. She has interests in biomechatronics, prosthetics, 3D visualization, and graphic design. c American Society for Engineering Education, 2020 A Simple Method to Help Students Improve 3-D Visualization SkillsAbstractSpatial visualization skills and attention to detail can be effectively improved using variousspecialized methods. Starting in the 1990’s multiple
,” National Science Foundation, National Center for Science and Engineering Statistics,Arlington, VA, 2015.[2] S. Zweben and B. Bizot, “2014 Taulbee Survey,” Computing Research News, vol. 27, no. 5, pp. 2-51,2015.[3] C. Corbett and C. Hill, “Solving the equation: the variables for women’s success in engineering andcomputing,” American Association of University Women, Washington, DC, 2015.[4] N. A. Fouad, and R. Singh, “Stemming the tide: Why women leave engineering,” University ofWisconsin-Milwaukee, Milwaukee, WI, 2011.[5] M. Klawe, T. Whitney, and C.Simard. “Women in Computing, Take 2”, Communications of theACM, vol. 52, no. 2, pp. 68-76. 2009.[6] C. Simard, A. D. Henderson, S. K. Gilmartin, L. Schiebinger, and T. Whitney, “Climbing thetechnical
responsive teaching. Urban Education, 266-289.Delpit, L. (1995). Other people’s children: Cultural conflict in the classroom. New York: New Press.Gay, G. (2000). Culturally responsive teaching: Theory. New York: Teachers College Press.Gay, G. (2002). Preparing for culturally responsive teaching . Journal of Teacher Education, 106-116.Griner, A. C. (2012). Addressing the achievement gap and disproportionality through the use of culturally responsive teaching practices. Urban Education, 585-621. 6Hershfeldt, P. A., Sechrest, R. P., Rosenberg, M. S., Bradshaw, C., & Leaf, P. (2009). Double Check: A framework of cultural responsiveness applied to classroom behavior. Teaching
). Systematic Literature Reviews in Engineering Education and Other Developing Interdisciplinary Fields. Journal of Engineering Education, 103(1), 45–76.Case, J. and Jawitz, J. (2004). Using Situated Cognition Theory in Researching Student Experience of the Workplace. Journal of Research in Science Teaching, 41(5), 415–431.Creamer, E. G., Burger, C. J., & Meszaros, P. S. (2007). A Cross-Institutional Comparison of Elements of College Culture That Promote Women’s Interest in Engineering at the Undergraduate Level. In NSF Human Resources Division Annual Meeting, 1.Gunderson, K. E., Bailey, M. B., Raelin, J. A., Ladge, J., & Garrick, R. (2016). The Effect of Cooperative Education on Retention of Engineering Students & the
results when they become available. AcknowledgementThis study is part of NSF-funded study named Project REESE (DRL-1252339). We aregrateful for the support of NSF. Also, we would like to thank Dr. Susannah Howe of SmithCollege for her input on our understanding of the engineering design process.References:Abbott, A. (1995). Sequence Analysis: New Methods for Old Ideas. Annual Review of Sociology.http://doi.org/10.1146/annurev.so.21.080195.000521Baker, D. (2002). Good intentions: An experiment in middle school single-sex science and mathematics classrooms withhigh minority enrolment. Journal of Women and Minorities in Science and Engineering, 8, 1–23.Bennett, J., Hogarth, S., Lubben, F., Campbell, B., &
other STEM subjects for DHH or otherstudents may increase knowledge of how diverse groups of visual learners access complexconcepts.AcknowledgementsSupport for this research was provided by the National Science Foundation ImprovingUndergraduate STEM Education program under Award No. 1432566. 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 National Science Foundation.ReferencesAguilera, M. D., & Mendiz, A. (2003). Video games and education: (education in the face of a "parallel school"). ACM Computers in Entertainment, 1(1), 1. http://dx.doi.org/10.1145/950566.950583Annetta, L. A., Minogue, J., Holmes, S. Y., & Cheng
faculty mentor working with the student(s) receives a stipendranging from $1,000-$1,500.The SURE Program strives to improve student skills integral to performing research. Studentsand their research mentors are expected to work together for eight hours per week for one-on-one instruction and research skill development. In addition to conducting research with facultymentors, mentees are required to attend four lunch meetings throughout the summer experience.These meetings focus on professional development, mentoring, and providing an opportunity forstudents to discuss research progress with peers. In the first meeting, staff from the campusMultimedia Services Office conduct a poster preparation workshop in which they teach thebasics of designing a
they have the interview with the professor.The interview with the professor involves a dialogue tree that allows the participant to choosehow they wish to respond in real-time in the conversation. This ability, coupled with theparticipant having Becky’s vantage and mirrored body movements, enables participants to feelmore immersed as the actual character. Although the evolution of conversation is dependentupon the selections of the participant, there are key statements made by the professor that areindependent of the participant’s response. These statements reflect what is constant in allinteractions. Specifically, all constants in the dialogue involve at least one of the followingconcepts—(P)rejudice, (R)acism, (I)mplicit bias, (S)exism, (M
), andsupport that members of students’ community provide to aid them in their engineering coursework.Community networks encompass four subthemes: students’ family members, networks at work,neighborhood friends, and university friends. Each of the four subthemes prompted students toindicate to what extent the following statements were true using a 7-point anchored numeric scalefrom 0- “Not at all true” to 6- “Very True.” Sample items for each subtheme of communitynetworks include, “Friend(s) from my neighborhood have given me resources that helped me inmy engineering coursework,” “Friend(s) in my current school have given me resources that helpedme in my engineering coursework,” “Family member(s) have given me resources that helped mewith my
majors in a service course will bepiloted based off of this first-year experience course project. Similar data will be collected tomeasure effectiveness.Bibliography[1] S. Lee, S. Kastner, and R. Walker. Engineering for The Future: Mississippi State University’s Cyber SummerPrograms. ASEE SE Annual Conference, 2016, in press at http://se.asee.org/.[2] D. Reese, T.J. Jankun-Kelly, L. Henderson, and S. Lee, “Impact on Retention from a Change in UndergraduateComputing Curricula,” in Proceedings of the 2013 ASEE Southeast Section Conference, Cookeville, TN, 2013.[3] M. Biggers, A. Brauer, and T. Yilmaz. “Student perceptions of computer science: a retention study comparinggraduating seniors with CS leavers,” in Proceedings of the 39th SIGCSE
work has been financed by FEDER funds through the Competitivity Factors OperationalProgramme - COMPETE: POCI-01-0145-FEDER-007136 and POCI-01-0145-FEDER-007043 and FCT – Fundação para a Ciência e Tecnologia within the Project Scope:UID/CEC/00319/2013.References[1] Simão, J. V., Modernização do ensino superior da ruptura à excelência, , Fundação das Universidades Portuguesas, 2003.[2] Simão, J. V., Santos, S. M. & Costa, A. A., Ensino superior: uma visão para a próxima década, Gradiva Publicações Lda., 2003.[3] Simão, J. V., Santos, S. M. & Costa, A. A., Ambição para a Excelência A oportunidade de Bolonha, Gradiva Publicações Lda., 2005.[4] Leandro S. Almeida, Rosa
. Hariharan, B. (2011). Innovating Capability for (Deweyan) Continuity of Inquiry in the Face of (Zimbardoean)Discontinuity Within the Context of Engineering Education Research: Fostering Collaborations with UnderservedCommunities in the Developing Regions of the World. Department of Mechanical Engineering Stanford University.5. Riley, D. (2008). Chapter 4. Toward a More Socially Just Engineering. In Engineering and social justice (p. 111).San Rafael, Calif.: Morgan & Claypool.6. Cumming-Potvin, W., Currie, J., (2013), Towards New Literacies and Social Justice for Engineering Education,International Journal of Engineering, Social Justice, and Peace, 2(1), 21-37.7. Streiner, S., Cunningham, S., Huang, S., Levonisova, S., Matherly, C., Besterfield
technology, vol. 135, pp. 142-149, 2013.[2] N. Wei, J. Quarterman, and Y.-S. Jin, "Marine macroalgae: an untapped resource for producing fuels and chemicals," Trends in biotechnology, vol. 31, pp. 70-77, 2013.[3] K. A. Jung, S.-R. Lim, Y. Kim, and J. M. Park, "Potentials of macroalgae as feedstocks for biorefinery," Bioresource technology, vol. 135, pp. 182-190, 2013.[4] A. Singh, P. S. Nigam, and J. D. Murphy, "Mechanism and challenges in commercialisation of algal biofuels," Bioresource technology, vol. 102, pp. 26-34, 2011.[5] M. Aresta, A. Dibenedetto, and G. Barberio, "Utilization of macro-algae for enhanced CO2 fixation and energy production," Prepr. Pap.-Am. Chem. Soc., Div. Fuel Chem, vol. 49, p. 348, 2004.[6] S. A. Razzak, M
exposed to basic concepts ofcomputation and computer programming, without having to go beyond the user friendly blocksbased interface. Figure 6 shows an arena for the maze-based educational game. Page 26.17.7 Figure 6: Maze-based Educational Game.Note that our proposed “gamification” of robot-programming satisfies several rules of goodgame design for learning. First, it provides the student an opportunity for active learning,wherein s/he learns the concepts of programming while trying to score points in the game. Evenas the student is engrossed in the game to score points, s/he is involuntarily learning andpracticing
blocks. One terminal blockcontains the connections (E, B, C) for a BJT. A second terminal block has connections (S, G, D)for a MOSFET. The third terminal block makes available ±15VDC that may be used assubstrate bias voltages when tracing the IV characteristics of MOSFETs that are part of transistorarrays (e.g., CD4007).Two switches determine the functional mode of the curve tracer (MOSFET vs BJT, andNPN/NMOS vs PNP/PMOS).Fig. 1. Curve tracer front-panel connections. The unit is presently configured to measure the I-Vcharacteristics of a PMOS device.Figure 2 is a block diagram of the curve tracer. We have a complete schematic diagram of thedevice, but it is not included here. The schematic was drawn in landscape mode on an 11”×17”sheet, and
. Additionalresearch of this novel finding should be performed, particularly with regard to the relationshipsbetween SES, first generation students, and self-efficacy. One recommendation for futureresearch is to modify the demographic portion of the survey instrument to include additionalquestions pertaining to respondent SES. More information will only help to clarify and possiblysupport this unique finding.Future studies should be conducted to confirm these findings as well as to identify additionallinks between personal characteristics and self-efficacy of community college engineeringstudents. One avenue for future research includes extending the study into a longitudinal studyto collect data over time. This study and Whannell et al.’s study had similar
applicability to underrepresented students. Journal of Vocational Behavior, 78 (2), 184-192. 4. Correll, J. S. (2001, May). Gender and the Career Choice Process: The Role of Biased Self-Assesments. American Journal of Sociology, 1691-1730. 5. Martin, P. J., Simmons, R. D., & Yu, L. S. (2013). The Role of Social Capital in the Experiences of Hispanic Women Engineering Majors. Journal of Engineering Education, 102 (2), 227-243. 6. Shehab, R. L., Murphy, T. J., Davidson, J., Foor, C. E., Reed-Rhoads, T., Trytten, D. A. & Walden, S. E. Page 26.1170.9 Academic Struggles and Strategies: How
Page 26.1629.8 Design Activity (pp. 319-341). Chichester: Wiley.2. Cross, N., & Cross, A. C. (1998). Expertise in engineering design. Research in Engineering Design, 10(3), 141- 149.3. Dannels, D. P., Anson, C. M., Bullard, L., & Peretti, S. (2003). Challenges in learning communication skills in chemical engineering. Communication Education, 52(1), 50-56.4. Dym, C. L., Agogino, A. M., Eris, O., Frey, D. D., & Leifer, L. J. (2005). Engineering design thinking, teaching, and learning. Journal of Engineering Education, 94(1), 103-120.5. Otto, K. N. & Wood, K. L. (2000). Product design techniques in reverse engineering and new product development. Upper Saddle River, NJ: Prentice Hall.6