, findings, conclusions andrecommendations expressed are those of the authors and do not necessarily reflect the views ofthe National Science Foundation.References[1] J. Roy, Engineering by the numbers. Engineering College Profiles & Statistics ASEE, 2019.[2] N. Dlodlo and R. N. Beyers, “The experience of girls in a fabrication engineering environment,” Gender Technol. Develop., vol. 13, no. 1, pp. 127-135, 2009.[3] APS Physics, Bachelor’s degrees earned by African Americans, by major. https://www.aps.org/programs/education/statistics/aamajors.cfm accessed Nov 24, 2019.[4] A. A. Bergerson, B. K. Hotchkins, and C. Furse, “Outreach and identity development: new perspectives on college student persistence,” J. College Stud. Retention, vol
different GPA student groups pairwise, we foundmore middle-performance (B and C range GPA) students expected high stress from oral exams,compared to high-performance (A-range GPA) and lower performance (below C GPA) students(p-value = 0.0005 for A and B students, and p-value = 5e-06 for A and C students). 52% ofB-range GPA students and 64% students agreed or strongly agreed that the stress from oralexams would be excessive, compared with 43% A-range students.Students’ prior oral exams experience also impacts their expectations of stress. A pre-surveyquestion asked the students how many times they have had oral exams before, with answers of “never”, “yes but not for credits”, “once/ twice”, “several times”, and “many times”. Based on thepost-hoc
agree with thisparticular goal, which sets SLICE apart from other models of S-L. Page 25.545.3Table 1: 2011 Survey Results: Attitudes Toward S-L Mean responses to Likert scale of 1 (disagree) to 5 (neutral) to 9 (agree) N Mean a. With service-learning, it is possible to meet course learning objectives in a 36 6.2* credit-bearing course while also meeting real community needs. b. When service-learning is done well, students learn the subject matter better 36
, “Representation use and strategy choice in physics problem solving,” Phys. Rev. Spec. Top. - Phys. Educ. Res., vol. 8, no. 2, Nov. 2012.[16] P. B. Kohl and N. D. Finkelstein, “Effects of representation on students solving physics problems: A fine-grained characterization,” Phys. Rev. Spec. Top. - Phys. Educ. Res., vol. 2, no. 1, May 2006.[17] N. M. McNeil and E. R. Fyfe, “‘Concreteness fading’ promotes transfer of mathematical knowledge,” Learn. Instr., vol. 22, no. 6, pp. 440–448, Dec. 2012.[18] V. M. Williamson, M. Hegarty, G. Deslongchamps, Williamson K.C., and M. J. Schultz, “Identifying Student Use of Ball-and-Stick Images versus Electrostatic Potential Map Images via Eye Tracking,” J. Chem. Educ., vol. 90, no. 2, pp. 159–164
Foundation S-STEM Grants #1833987 (University ofM), #1833983 (UCD), #1833817(IUPUI).References 1. A. Windsor, A. Bargagliotti, R. Best, D. Franceschetti, J. Haddock, S. Ivey, and D. Russomanno, "Increasing Retention in STEM: Results from a STEM Talent Expansion Program at the University of Memphis," Journal of STEM Education, vol. 16, no. 2, 2015. 2. M. White, E. Legg, B. Foroughi, and J. Rose, "Constructing past, present, and future communities: Exploring the experiences of community among last-dollar scholarship students," J. Community Psychol., vol. 47, no. 4, pp. 805–818, 2019. 3. "Building a Sense of Community." [Online]. Available: https://serc.carleton.edu/lsamp/community.html (accessed Dec. 24, 2023). 4
Ponder-Sutton, A., PlayIT: Game Based Learning Approach for Teaching Programming Concepts. Educational Technology & Society, 19(2), 5-17.[6] Pan, Y., Mishra, S., Yuan, B., Stackpole, B., and Schwartz, D., Game-based Forensics Course For First Year Students, Proc. of 13th Annual ACM Special Interest Group for Information Technology Education (SIGITE 2012), Calgray, Alberta, Canada.[7] Pan, Y., Schwartz, D., and Mishra, S., Gamified Digital Forensics Course Modules for Undergraduates, IEEE Integrated STEM Education Conference, Princeton, NJ, 2015.[8] Pan, Y., Mishra, S., and Schwartz, D., Gamifying Course Modules for Entry Level Students, Proc. of the 2017 ACM Special Interest Group for Computer Science Education (SIGCSE
transferring knowledge between biol-ogy and engineering is outlined in Table 1. Table 1: Plan for incorporating biomimicry into design innovation Create and disseminate evidence-based instructional resources: a. Design instructional resources that help students to identify characteristics of engineering design problems that enable bio-inspired design (making the leap Objective from engineering to biology). 1 b. Design instructional resources that facilitate the analogy mapping and transfer process of bio-inspired design (making the leap from biology to engineering). c. Disseminate the evidenced-based instructional resources through publications and
. Industry partners’ assessments of participating students and the collaboration4. Students’ weekly and final reports, including reflective writing assignments5. Students’ research presentations6. Group interviews with participating faculty7. interviews with participating undergraduate students,8. Formal project implementation reviewEvaluation question 1: What were the effects of the summer research experiences on theparticipating undergraduate students?A. How successful was the project in recruiting and supporting students from underrepresentedgroups?B. How do the participants understand research in the context of engineering, and anysimilarities or differences between academic and industrial research?C. How do the participants describe
Precalculus-Level Engineering Students," in 2023 ASEE Annual Conference & Exposition, Baltimore, Maryland, 2023.[4] "Engineering, Math, and Society Learning Community," Whatcom Community College, [Online]. Available: https://www.whatcom.edu/engineeringlc.[5] "The Wright State Model for Engineering Mathematics Education," [Online]. Available: https://engineering-computer-science.wright.edu/research/the-wright-state-model-for- engineering-mathematics-education. [Accessed May 2021].[6] N. W. Klingbeil and A. Bourne, "A National Model for Engineering Mathematics Education: Longitudinal Impact at Wright State University," in 2013 ASEE Annual Conference and Exposition, Atlanta, 2013.[7] R. Palero Aleman, M. B. Roberto, J. A. Mejia, S
Education. Journal of Professional Issues in Engineering Education & Practice 2011, 137, (3), 162-173.8. Mueller, N. C.; Buha, J.; Wang, J.; Ulrich, A.; Nowack, B., Modeling the flows of engineered nanomaterials during waste handling. Environ. Sci.-Process Impacts 2013, 15, (1), 251-259.9. Lozano, P.; Berge, N. D., Single-walled carbon nanotube behavior in representative mature leachate. Waste Management 2012, 32, (9), 1699-1711.10. Reinhart, D. R.; Berge, N. D.; Santra, S.; Bolyard, S. C., Emerging contaminants: Nanomaterial fate in landfills. Waste Management 2010, 30, (11), 2020-2021. Page 24.422.711. Pierce, C
,for which one of the outreach videos is linked in Appendix A. Knowledge dissemination bystudents accounts for student publications in the research areas, mainly in robotics and gaming.Peer mentoring classes in honors courses at San Jacinto College and senior design courses atUHCL, UH, UT-Tyler Houston, and Lamar have allowed students to interact with the programsin which they plan to transfer and contribute to meaningful research. Figure 3 shows someresulting graphics from the research. A B C D E FFigure 3: A: Capture from NASA Swarmathon Gazebo simulation. B: FEA of NASA Swarmbot inSolidwords 2016. C: Lab simulation in augmented
ScienceFoundation, Arlington, VA, Oct. 20-21, 2010.7 Ferguson, D.M., J. Cawthorne, B. Ahn, and M.W. Ohland, “Engineering Innovativeness,” in press, Journal ofEngineering Entrepreneurship, December 2012.8 Genco, N. (2010). "An Experimental Investigation of the Innovation Capabilities of Engineering Students,"American Society of Engineering Education, Austin, TX.9 Goldsmith, R. E. (1990). “The validity of a scale to measure global innovativeness,” Journal of Applied BusinessResearch, Vol. 7, No. 2, pp. 89-97. Goldsmith, R. E. and C. F. Hofacker (1991). “Measuring consumer innovativeness,” Journal of the Academy of10Marketing Science, Vol. 19, No. 3, pp. 209-221. Hurt, H. T., Joseph, K., and C. D. Cook (1977). “Scales for the measurement of innovativeness
educator participants from classrooms and libraries alike. Starting thesummer of the pandemic, the project pivoted to an entirely virtual format, and over three summers en-gaged cohorts of doubling size (y1=20, y2=40, y3=80). Ultimately WySLICE reached over 150 K-12 teachersand state librarians from all disciplinary areas to integrate computer science into their teaching.The project’s support of participants occurred in several distinct phases: A)preliminary assessment andscaffolding, B)week-long professional development focused on “effective integration of CS in X”, andC)year-long implementation and support. Phase A and Phase B professional developments enabled edu-cators to gain enough foundational content knowledge in Computing Systems
, development, and evolution ofstudent-focused programs can be applied broadly across different contexts and targetpopulations.References[1] N. Lin, Social Capital: A Theory of Social Structure and Action, Cambridge, UK: Cambridge, 2004.[2] A. Cooper, The Inmates are Runing the Asylum: Why High-Tech Products Drive Us Crazy and How to Restore the Sanity, Indianapolis IN: SAMS, 1999.[3] "Personas," Open Design Kit, 2017. [Online]. Available: http://opendesignkit.org/methods/personas/.[4] T. Adlin, H. Jamesen and T. Krebs, "Fake People and Sticky Notes: Fostering Communication for Human-Centered Software Design," Akamai Technologies, Inc., Seattle WA.[5] S. B. Merriam and R. S. Grenier, Qualitative Reserach in Practice: Examples for
virtual environment needs to create an experience similar to manually manipulating laboratory equipment. This was accomplished by: a. Creating modules that are interactive; the student operates the simulated equipment in a similar way one would operate the physical equipment. b. Incorporating real data from physical experiments. Then, during the simulated experiments, the student collects data and later analyzes it. c. Emphasizing safety both as separate topics, such as general lab practices and radiation safety, as well as throughout the virtual experiments (such as a radiation
Minority-Serving Institutions for NASA internship, fellowship, and scholarship programs. She has nearly a decade’s worth of expe- rience working with non-profits where she created and implemented yearly programs that focused on Science, Technology, Engineering and Mathematics (STEM). She received bachelor’s degrees from the c American Society for Engineering Education, 2017 Paper ID #20168University of Maryland, Baltimore County - a B.S. in Biochemistry and Molecular Biology, and a B. A.in Psychology. She went on to receive a master’s degree in Education from California State University,Long Beach where her research
picture” Proceedings of the annual meeting of theAmerican Society for Engineering Education Annual Conference a, 12 – 15 June, Portland, OR,2005.[6] R.M. Marra and B. Bogue, “Women engineering students' self efficacy-a longitudinalmultiinstitution study”. Women in Engineering ProActive Network, 2006.[7] R.M. Marra, K.A. Rodgers, D. Shen, and B. Bogue, “Women engineering students andselfefficacy: A multi‐year, multi‐institution study of women engineering student self‐efficacy,”Journal of engineering education, vol. 98, no. 1, pp. 27 – 38.[8] J. Moore, C. D. Lovell, T. McGann, and J. Wyrick, “Why involvement matters: A reviewof research on student involvement in the collegiate setting,” College Student Affairs Journal,vol 17, no. 2, pp
] M. R. Leary and R. H. Hoyle, Handbook of individual differences in social behavior. Guilford Press, 2009.[29] G. R. VandenBos, APA dictionary of psychology. American Psychological Association, 2007.[30] C. W. Hall et al., “Aptitude and personality traits in retention of engineering students,” J. Eng. Educ., vol. 104, no. 2, pp. 167–188, 2015.[31] M. Schar, S. K. Gilmartin, A. Harris, B. Rieken, and S. Sheppard, “Innovation Self-Efficacy: A Very Brief Measure for Engineering Students,” in 2017 ASEE Annual Conference & Exposition, Columbus, Ohio, 2017.[32] J. H. Dyer, H. B. Gregersen, and C. Christensen, “Entrepreneur behaviors, opportunity recognition, and the origins of innovative ventures,” Strateg. Entrep. J
spectrum. This becomes important if the sample is not homogeneous. The FTIRmicroscope resolves this issue and allow us to view the sample two-dimensional image andchoose the pixels at which we need to evaluate the spectra. The OPUS software controls theFTIR system and allow us to choose the pixels on a line, single data points or a grid of pixels(chemical image). The resolution of the IR image depends on the selected grid size. Figure 2. a) The FTIR Invenio-R research and development spectrometer. b) The ATR unit of the spectrometer. Figure 3. The Hyperion 2000 FTIR microscopeUse of the equipment in Digital Image Processing courseDigital Image Processing is one of the
also provide opportunity for entertaining Page 23.780.6interactions (e.g., “Oscar Awards” for best films presented in class).Assessment of MethodologyAssessment of project activities has been conducted using a) peer evaluation of student work, b)the Felder-Silverman Learning Style Dimensions, c) student surveys, d) focus group videoconferences between students and two external assessment consultants, and e) analysis of studentwork products.A rubric was developed for peer review, ranking oral presentations and videos when presented tothe class. The peer review process required students to actively participate in the presentations astheir
whichevaluates the overall student achievement with respect to the learning objectives and (2) thepotential for continuous utilization of the proposed Green-BIM teaching method by showingsignificant difference in student performance between two consecutive semesters. We gradedtheir works not only for the purpose of grading against answer keys but also for the assessmentto demonstrate the achievement of outcome. Direct assessment data of 27 and 24 students arecollected for Spring 2013 and Fall 2013, respectively. Figures 4(a) and 4(b) show thedistributions of overall student performance based on the rubrics for Spring 2013 and Fall 2013,respectively. 50.00
, pp. 458-465, 2003.[2] R. W. Lent, M. J. Miller, P. E. Smith, B. A. Watford, R. H. Lim, K. Hui, et al. “Social cognitive predictors of adjustment to engineering majors across gender and race/ethnicity,” Journal of Vocational Behavior, 83, 22-30, 2013.[3] S. D. Sheppard, A. L. Antonio, S. R. Brunhaver, and S. K. Gilmartin. “Studying the Career Pathways of Engineers: An Illustration with Two Data Sets,” in Cambridge Handbook of Engineering Education Research, A. Johri and B. M. Olds, Eds. New York: Cambridge University Press, 2014, pp. 283-309.[4] A. P. Carnevale, N. Smith, and J. Strohl. “Help Wanted: Projecting Jobs and Education Requirements Through 2018,” Georgetown University Center on
’ orientation to social responsibility influenced theirexpectations of academic curricular? b. How have the students’ orientation to social responsibility influenced theirexpectations of faculty engagement?A thematic analysis will be used to analyze the interview data [10]. The results of the survey andthematic analysis will be used to propose several interventions, with a target fall 2019implementation.References[1] National Academies of Sciences, Engineering, and Medicine, “Quality in the UndergraduateExperience: What Is It? How Is It Measured? Who Decides? Summary of a Workshop,” TheNational Academies Press, Washington, D.C., 2016.[2] B. Cook and Y. Kim, “From soldier to student: Easing the transition of service members oncampus,” Lumina
the National Science Foundation.References[1] M. Chrysochoou, A. E. Zaghi, and C. M. Syharat, “Reframing neurodiversity in engineering education,” Front. Educ., vol. 7, Nov. 2022, doi: 10.3389/feduc.2022.995865.[2] J. Ahmad, N. M. Siew, N. M. Siew, and N. M. Siew, “CURIOSITY TOWARDS STEM EDUCATION: A QUESTIONNAIRE FOR PRIMARY SCHOOL STUDENTS,” J. Balt. Sci. Educ., vol. 20, no. 2, p. Continuous, 2021, doi: https://doi.org/10.33225/jbse/21.20.289.[3] J. Egner, “#ActuallyAutistic: Using Twitter to Construct Individual and Collective Identity Narratives,” Stud. Soc. Justice, vol. 16, no. 2, Art. no. 2, Mar. 2022, doi: 10.26522/ssj.v16i2.2675.[4] K. Eagan, E. B. Stolzenberg, H. B. Zimmerman, M. C. Aragon, H. W. Sayson, and C. Rios
their students, whereas Texas State willinsert appropriate modules in existing courses. UT at Tyler also plans to offer these coursesonline to their students as well as industry professionals and community leaders. At Texas State,these modules will be taught face-to-face.Introductory Course: “Introduction to Nanotechnology Safety” introduces students tonanotechnology, nanomaterials and manufacturing, national security implications, and societaland ethical issues of nanotechnology. This course will be a freshman/sophomore level course.After completing this course, students will be able to: (a) understand the ethical and societalimpact of nanotechnology,(b) understand fundamental concepts in sustainable nanotechnology,and (c) understand the
ensure successful transformation of classroom practices.The anticipated outcomes of the RET site program are as follows:1. Teacher Outcomes a. Greater knowledge of content aligned with research activities in their field b. Transformation of classroom practices resulting in more frequent STEM and engineering education teaching techniques c. Long-term collaborative partnerships with university faculty and industry representatives2. Student Outcomes (indirectly from their teacher’s experiences) a. Students having more positive STEM influences which encourage them to pursue careers in these areas b. Students being more engaged in the classroom due to better developed authentic classroom
found moremiddle-performance (B and C range GPA) students expected high stress from oral exams,compared to high-performance (A-range GPA) and lower performance (below C GPA) students(p-value = 0.0005 for A and B students, and p-value = 5e-06 for A and C students). 52% ofB-range GPA students and 64% students agreed or strongly agreed that the stress from oralexams would be excessive, compared with 43% A-range students.Students’ prior oral exams experience also impacts their expectations of stress. A pre-surveyquestion asked the students how many times they have had oral exams before, with answers of “never”, “yes but not for credits”, “once/ twice”, “several times”, and “many times”. Based on thepost-hoc analysis to compare the different levels
Multi-Dimensional Diversity.," in American Society for Engineering Education proceedings: ASEE, 2018.[7] G. Arastoopour, N. C. Chesler, and D. W. Shaffer, "Epistemic persistence: A simulation-based approach to increasing participation of women in engineering," Journal of Women and Minorities in Science and Engineering, vol. 20, no. 3, 2014.[8] J. Cullinane and L. Leegwater, "Diversifying the STEM Pipeline: The Model Replication Institutions Program," Institute for Higher Education Policy, Washington D.C., 2009.[9] M. J. Graham, J. Frederick, A. Byars-Winston, A.-B. Hunter, and J. Handelsman, "Increasing Persistence of College Students in STEM," Science, vol. 341, no. 6153, pp. 1455-1456, 2013, doi
. Page 23.950.4 At the Freshman level, students will perform a mass balance on an oxygenator. In a sophomore mate-rial balances course, students will perform mass balances on the oxygenator, deoxygenator, and the over-all system. In a junior fluid mechanics course, students will characterize the rheology of the blood ana-logue (see blood module), measure the pressure drop across the oxygenator and compare it to the pre-dicted for a shear-thinning fluid. In the same course, students will determine the friction factor and com-pare it to that for water. In a ChE mass transfer course or a ME transport course, students will obtain acorrelation for the mass transfer coefficient in the form Sh = aRe b
Systems: Series B, and is a member of IEEE, ASEE, and Sigma Xi.Dr. Li Bai, Temple University Dr. Li Bai is a Professor in the ECE department, Temple University. He received his B.S. (1996) from Temple University, M.S. (1998) and Ph.D. (2001) from Drexel University, all in Electrical Engineering. He was a summer research faculty in AFRL, Rome, NY, during 2002–2004 and the Naval Surface Warfare Center, Carderock Division (NSWCCD), Philadelphia, PA, during 2006–2007. His research interests include video tracking, level 2+ information fusion, array signal processing and multi-agent systems, wireless sensor network and dependable secure computing. His research has been supported by Office of Naval Research, Department